Psychometric Properties of Measures of substance use: A systematic review and meta-analysis of reliability, validity and diagnostic test accuracy

Psychometric Properties of Measures of substance use: A systematic review and meta-analysis of reliability, validity and diagnostic test accuracy | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research article Psychometric Properties of Measures of substance use: A systematic review and meta-analysis of reliability, validity and diagnostic test accuracy Glenn-Milo Santos, Steffanie Strathdee, Nabila El-Bassel, Poonam Patel, and 9 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.2.13004/v2 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 07 May, 2020 Read the published version in BMC Medical Research Methodology → Version 2 posted 4 You are reading this latest preprint version Show more versions Abstract Background Synthesis of psychometric properties of substance use measures to identify patterns of use and substance use disorders remains limited. To address this gap, we sought to systematically evaluate the psychometric properties of measures to detect substance use and misuse. Methods We conducted a systematic review and meta-analysis of literature on measures of substance classes associated with HIV risk (heroin, methamphetamine, cocaine, ecstasy, alcohol) that were published in English before June 2016 that reported at least one of the following psychometric outcomes of interest: internal consistency (alpha), test-retest/inter-rater reliability (kappa), sensitivity, specificity, positive predictive value, and negative predictive value. We used meta-analytic techniques to generate pooled summary estimates for these outcomes using random effects and hierarchical logistic regression models. Results Findings across 387 paper revealed that overall, 65% of pooled estimates for alpha were in the range of fair-to-excellent; 44% of estimates for kappa were in the range of fair-to-excellent. In addition, 69%, 97%, 37% and 96% of pooled estimates for sensitivity, specificity, positive predictive value, and negative predictive value, respectively, were in the range of moderate-to-excellent. Conclusion We conclude that many substance use measures had pooled summary estimates that were at the fair/moderate-to-excellent range across different psychometric outcomes. Most scales were conducted in English, within the United States, highlighting the need to test and validate these measures in more diverse settings. Additionally, the majority of studies had high risk of bias, indicating a need for more studies with higher methodological quality. Health Economics & Outcomes Research Substance Use Alcohol Drugs Psychometric Properties Meta-Analysis Figures Figure 1 Figure 2 Figure 3 Background Substance use, including illicit drug use and alcohol, is prevalent worldwide with about 5% of adults using illicit substances (1) and 40% of adults consuming alcohol, in the past year (2). Moreover, the number of people with drug use disorders was estimated at 62 million, while the number of individuals with alcohol use disorders was estimated at 100.4 million in 2016 (3). Substance use disorders are associated with substantial morbidity and mortality globally. Illicit drug use disorders were attributed to 20 million disability-adjusted life years (DALYs) lost (4) while alcohol use disorders were attributed to 85 million DALYs lost in 2012 (5). Specific classes of substances also play an important role in HIV risk, including needle sharing, and sexual risk behaviors, and have been linked to HIV incidence (6-8) (6, 9-11)(12-15). Among people living with HIV (PLWH), substance use disorders may lead to less optimal HIV care outcomes because of their associations with lower likelihood of being linked to HIV care, retained in care, receiving antiretroviral therapy (ART), having high ART adherence and lower likelihood of having an undetectable HIV viral load (9, 10, 16-18). Given the role of substance use in the global burden of disease and the overlap between use of specific substances and HIV, it is important for clinicians and researchers to have tools with high reliability, validity, and diagnostic accuracy (19). Yet too few use measures with known psychometric properties when assessing substance use. Currently, there are a myriad of standardized questionnaires used to screen substance use and misuse that require patients to self-report patterns of use and substance-related problems. Examples such as the Alcohol Use Disorders Identification Test and the Drug Use Disorders Identification test (20, 21) provide scores that correspond with severity of substance use and related problems. It remains that there are no biological measures that define a substance use disorder; existing biological measures are considered to be indirect correlates of use disorders (22). Examples include alcohol biomarkers like Carbohydrate-Deficient Transferrin (CDT), and Gamma Glutamyl Transferase (GGT), which are used to screen for alcohol dependence and heavy drinking, respectively (22). There is a great need to evaluate the psychometric performance of these measures and markers across studies in settings of HIV to elucidate the overall validity, reliability, and diagnostic accuracy. One approach to informing the use of psychometric measures in research and clinical care is pooling the psychometric characteristics of measures across studies involves the use of meta-analytic techniques, which generates summary estimates of the validity, reliability, and diagnostic accuracy of different questionnaires (23-27). However, synthesis of psychometric properties of substance use measures to identify patterns of use and substance use disorders remains limited, with few exceptions (21, 28, 29). One meta-analysis focused on the accuracy of self-reported assessments to diagnose alcohol and cannabis use disorders found that instruments had a pooled sensitivity of 0.88 and a pooled specificity of 0.90 among emergency room department pediatric patients (28). Another meta-analysis observed that studies with single questions to identify alcohol use disorders in primary care had pooled sensitivity of 0.54 and pooled specificity of 0.87 while two-question measures had a pooled sensitivity of 0.87 and a pooled specificity of 0.80 (29). More commonly, however, reviews on substance use measures present psychometric data in a descriptive fashion (19, 30, 31). Therefore, more rigorous efforts to systematically pool the psychometric properties of substance use measures are needed to establish the overall performance and accuracy of these tools and point toward their utility in future research. To address these gaps, we conducted a systematic review and meta-analysis of literature to identify studies that have reported validity and reliability of substance use measures and pooled these measure using meta-analytic techniques. For the purposes of this review, we targeted our search for measures of substance classes previously associated with HIV risk. Specifically, we focused our review on measures for the following: alcohol, methamphetamine and amphetamine, cocaine, heroin, and ecstasy, regardless of whether the study was conducted among a population at high risk for HIV. Additionally, we included measures that evaluated substance use in general (i.e., measures that did not differentiate between classes of substances) as long as those measures were inclusive of our targeted substance classes. This study’s review questions are: What are the summary reliability, validity--as measured by alpha and kappa coefficients—and diagnostic accuracy—as measured by sensitivity, specificity, positive predictive value, and negative predictive value—of various substance and alcohol measures to screen for use and use disorders? Methods Search strategy: We conducted a systematic review of studies published prior to June 2016 on substance use measures indexed in electronic databases including PubMed, PsycINFO, and EMBASE. We developed Boolean search terms to capture substance use measures that have been previously associated with HIV risk, in consultation with the reference librarian from the University of California San Francisco with a master’s degree in library and information science (MLIS). The following substance classes were included: alcohol, methamphetamine and amphetamine, cocaine, heroin, and 3,4-methylenedioxy-methamphetamine (MDMA; “ecstasy”). Because the focus of this study was to pool psychometric properties of measures, we also included search terms related to validity, reliability, and diagnostic accuracy (i.e., alpha, kappa, sensitivity, specificity, positive predictive value, negative predictive value). Search terms included MeSH headings related to our research question, general terms related to substance use and psychometric properties or interest, as well as specific terms referencing the names of well-known substance use measures. The search terms used are provided in the appendix. This review was registered in Prospero, the International prospective register of systematic reviews (study number: CRD42017058813). Primary Outcomes: We aimed to estimate the pooled summary estimates for the following psychometric outcomes: Cronbach’s alpha, kappa, sensitivity, specificity, positive predictive value, and negative predictive value. We recognize that there are a number of measure characteristics that relate to validity (32). However, to focus our review and facilitate the feasibility of completing this study, we have decided to restrict the scope of our validity measures to Cronbach’s alpha. Descriptions for these outcomes are provided below: Psychometric Outcome Description Cronbach’s alpha measure of internal consistency, that is, how closely correlated a set of scale items are, as a group. Kappa measure of inter-rater agreement or inter-rater reliability for qualitative (categorical) items which takes into account the possibility of the agreement occurring by chance. Sensitivity measure of a test/scales’ ability to correctly detect patients who do truly have the condition (i.e., proportion of people who screen positive for substance use disorders according to the scale, among those who truly have substance use disorders based on an established standard (“gold standard”) such as meeting diagnostic criteria for a disorder). Specificity measure of the test/scales’ ability to correctly detect patients without a condition (i.e., proportion of people who screen negative for substance use disorders according to the scale, among those who truly do not have substance use disorders based on an established standard such as meeting diagnostic criteria for a disorder). Positive predictive value (PPV) the probability that persons with a positive screening result actually has the disorder. (i.e., proportion of people who meet diagnostic criteria for a substance use disorder among those who screened positive for the disorder on a scale). Negative predictive value (NPV) the probability that people with a negative screening test actually do not have the disease. (i.e., proportion of people who meet diagnostic criteria for a substance use disorder among those who screened negative for a substance use disorder in a scale ). Eligibility Criteria: We searched for relevant publications that met all of the following inclusion criteria: 1) studies that reported one or more of the psychometric outcomes of interest; 2) studies that examined on one or more substance use measures related to our substance classes of interest (i.e., alcohol, methamphetamine and amphetamine, cocaine, heroin, and ecstasy) or for substance use in general (i.e., some measures do not differentiate between multiple substances or assess classes of substances all together); 3) publication written in English (note: studies that administered measures that were not in English were eligible as long as the publication was written in English) We excluded publications using the following exclusion criteria: 1) reporting insufficient information on reliability, validity and diagnostic accuracy for substance use measures/assessments (i.e., no numeric information on our psychometric outcomes, sample size); 2) articles that provide psychometric data for a measure/assessment that is not related to substance use (e.g., a study on internal consistency data on a depression scale among substance users); 3) articles and/or secondary data analyses that report reliability and validity data from a primary outcome paper that was already included in the review; 4) reviews, commentaries, case report studies and other publications with insufficient reporting of data; 5) substance use measures/assessments that focus on aspects other than actual substance consumption, dependence or substance use disorder (e.g., a study reporting validity of a self-efficacy scale for resisting substance use; a study that examines the underlying mechanisms of substance use among those who already have a substance use disorder); and 6. studies with psychometric properties that focus on substance classes outside the scope of our review (e.g. marijuana or tobacco). Screening procedures: All citations (including their titles and abstracts) captured by the search strategy were imported into Covidence.org (Melbourne Victoria), which allowed research team members to independently review and screen citations using a centralized, online database. Each title/abstract was screened by two members of a team comprising master-, doctoral-, and post-doctoral-level researchers trained in the study protocol (co-authors PP, DH, RC, DS, CM, PM, and FC) and citations that were coded as eligible by both reviewers were moved to the full-text review phase. The same process was then repeated for full-text articles. In the event of discrepancies between reviewers in both the title and abstract phase and the full-text phase, a third team member (GMS) reviewed the relevant documents and helped reconcile the differences. Articles that were deemed eligible in the full-text review stage were included in the data extraction phase described below. Data extraction: Team members extracted data on the psychometric properties, scale and study characteristics, sample size, study sample characteristics/co-factors of interest (country where study was conducted, number of sites, language that the scale was administered, gender of participants included), cut-offs used, comparison measure/gold-standard used, and other information relevant to study, including information on study quality (33). Some papers reported multiple data points for psychometric outcomes from different study populations (e.g., disaggregated data by sex or different research sites). These data points were extracted as separate records only if the paper did not provide a single overall measure for the psychometric outcomes for the entire study sample, consistent with other analyses (24). Assessment of bias risk: For studies reporting diagnostic measures (e.g., sensitivity and specificity), reviewers rated study quality using the Revised Tool for the Quality Assessment of Diagnostic Accuracy Studies, QUADAS-2, guidelines (33), which includes quality rating questions on the study’s patient selection, index test, reference standard, and flow and timing. For studies that did not include diagnostic accuracy measures, only relevant domains of QUADAS-2 were assessed, as appropriate (i.e., rating regarding the reference standard was not conducted). All extracted data were entered into an electronic questionnaire programmed in Qualtrics, and checked by another researcher (conducted by the same co-authors who screened citations, as well as co-author BK) to verify accuracy. Data analyses: We calculated separate pooled summary estimates for each of the 37 substance use measures and also fitted separate models for each of the six psychometric outcomes for validity, reliability, and accuracy. For alpha, kappa, PPV and NPV, we pooled data across studies using DerSimonian-Laird random effects models, implemented in STATA version 13 (Colleges Station, TX)(34). Random effects meta-analyses models, as opposed to fixed-effects models, are preferred for pooling data from diagnostic accuracy tests since heterogeneity is presumed to exists across these studies (35). Random effects models, which are considered the default models used in meta-analyses for diagnostic accuracy tests, synthesize the psychometric outcomes from separate studies into a weighted average effect size (pooled summary estimate), using inverse variance weighting, based on sample size, while taking into account the extent of the variability of the effect sizes observed in separate studies (35). Additionally, for sensitivity and specificity, we used hierarchical logistic regression models, implemented using the metandi command in STATA, to account for the correlation between the two measures (i.e., trade-off between sensitivity and specificity)(36-38). Since metandi requires a minimum of four observations to conduct a meta-analysis, we pooled measures with less than four records for sensitivity and specificity outcomes using the random effects models described for other outcomes, and noted this alternate approach in the results, as appropriate. Classification and evaluation of pooled estimates Qualitatively, pooled summary estimates for alpha and kappa were classified as “excellent” for estimates that were >0.89, “good” for estimates that were between 0.85-0.89, “moderate” for estimates that were between 0.80-0.84, “fair” for estimates that were between 0.75-0.79, or “unsatisfactory” for estimates below 0.75, consistent with other studies (24, 39). Pooled summary estimates for sensitivity, specificity, positive predictive value and negative predictive value were classified as “excellent” for estimates that were >0.89, “good” for estimates that were between 0.8-0.89, “moderate” for estimates that were between 0.6-0.79, and “low” for estimates that were <0.6 (24, 40). For each pooled psychometric summary estimate, we calculated I 2 statistics, which represents the percentage of total variation across studies, to assess heterogeneity. We considered pooled estimates as having low heterogeneity if I 2 25%, moderate heterogeneity if I 2 50%, and high heterogeneity if I 2 75% (41). We did not use standard meta-analyses tests for publication bias given the limitations of these tests for diagnostic test accuracy studies and due to the characteristics of our psychometric outcomes (e.g., truncated measures cannot fall below zero) (42). As indicated in the Cochrane Handbook for Systematic Reviews of Diagnostic Test Accuracy, using these tests are inappropriate because they will likely lead to a high false-positive rate for publication bias (35). Results Screening and study inclusion: Study screening and inclusion is summarized in Figure 1 . In brief, in the identification stage, we initially identified 7,555 references in the initial search, of which, 208 were excluded for being duplicates. In the title and abstract review phase, reviewers excluded 5,854 studies that were deemed ineligible. Full-text reviews were conducted for 1,493 articles that were deemed eligible from title and abstract review. Of the full-text reviewed articles, 1105 studies were excluded for not meeting eligibility criteria. The most common reasons for exclusion were: scales or measures that were outside the scope of review (n=386), lack of psychometric data on scales of interests (n=140), lab or methods papers that were outside the scope of the review (n=130), non-English language publications (n=110), duplicate study (n=98), psychometric outcomes that were outside the scope of review (n=79). In total, there were 387 unique studies included in the data extraction phase containing sufficient data on the outcomes for 37 scales (Table 1) . Study Characteristics: Table 2 presents characteristics of the studies included in this meta-analysis. As mentioned, studies published in English were included in this review, regardless of the language in which the scales were administered. Among the 387 studies included, the most those common language in which the scale/measure was conducted in was English (63%), followed by Spanish (9%), French (5%), Portuguese (3%), and Chinese (2%). A large proportion of studies were conducted in the United States (40%). The median sample size was 286 [Range=9-50,049]. The vast majority of studies (83%) included men and women (n=323). Additionally, 11% (n=42) of the studies included study sample comprised only of men, while 5% (n=20) studies included study samples comprised only of women. Most studies were published after 1999 (66%), with studies published between 2000-2009 accounting for 38% (n=148) of the studies meta-analyzed, and studies published between 2010-2017 accounting for 28% (n=110). Most studies involved a single study site 61%, while 39% were multi-site studies. Additionally, 72% of the studies involved convenience samples, 20% included random or probability based samples, and 7% had other or unclear sampling strategies. Assessment of bias in Study Quality: The risk of bias in the four QUADAS 2 domains for each study included in this meta-analysis is presented in Supplementary Table 1. The distribution of the QUADAS 2 domains for the entire study is summarized in Figure 3 . Of the studies included, 58% of studies had a low risk of bias with respect to the patient population; 57% has low risk of bias in the index test domain, 48% has low risk of bias in the reference standard test domain, and 72% had low risk for the flow and timing. Overall, only 16% of studies had low risk of bias across all four of these QUADAS 2 domains. Pooled Summary Estimates: Overall findings: The pooled summary estimates of psychometric properties of substance use measures (which are described in Table 1 ) are quantitatively and qualitatively summarized in Table 2 and Table3, respectively . Overall, 65% of pooled estimates for alpha were in the range of fair-to-excellent; 44% of estimates for kappa were in the range of fair-to-excellent. In addition, 69%, 97%, 37% and 96% of pooled estimates for sensitivity, specificity, positive predictive value, and negative predictive value, respectively, were in the range of moderate-to-excellent (Figure 2) . Self-reported measures that had all pooled estimates that were fair/moderate or better include the following: Alcohol Dependence Scale; Addiction Severity Index (ASI); ASI subscale for Alcohol; ASSIST; the Composite International Diagnostic Interview, including the original version, as well as version 2.1 and version 3; Drug Abuse Screen Test - 10 item scale; Drug Use Disorders Identification Test; Problem Oriented Screening Instrument for Teenagers; Severity of Dependence scale; Timeline Followback; and Chemical Use, Abuse, and Dependence. Biomarkers that had all pooled estimates that were fair/moderate or better include the following: Ethyl glucuronide; Phosphatidylethanol test; and the combined used of Carbohydrate deficient transferrin and Mean corpuscular volume. In general, we also observed high heterogeneity between studies for most pooled estimates. Pooled Summary Estimates, by Substance Use Measure: The pooled estimates and 95% confidence intervals for alpha, kappa, sensitivity, specificity, positive predictive value, and negative predictive value are shown in Table 2, respectively. Below we summarize the results of the pooled summary estimates alphabetically for each of the 37 substance use measures, grouping self-reported measures and biomarkers separately. The list of references for the studies meta-analyzed for each scale/measure is presented in Supplementary Table 2 . Self-Reported Measures: Alcohol Dependence Scale (ADS) The pooled alpha estimate for ADS (3 data points) was good: 0.90 (95%CI=0.80-0.99) and there was high heterogeneity between studies (I 2 98.9%). The pooled sensitivity estimate for ADS (2 data points) was excellent: 0.95 (95%CI=0.90-1.00) and there was low heterogeneity between studies (I 2 0%). The pooled specificity estimate (2 data points) was moderate: 0.64 (95%CI=0.52-0.77) and there was moderate heterogeneity between studies (I 2 60.1%). There was insufficient data to calculate the pooled PPV and NPV estimates for ADS. Addiction Severity Index (ASI) The pooled alpha estimate for ASI (3 data points) was good: 0.84 (95%CI=0.81-0.87) and there was moderate heterogeneity between studies (I 2 38.5%). There was insufficient data to calculate pooled kappa, sensitivity, specificity, PPV, and NPV estimates. Addiction Severity Index-Alcohol (alcohol sub-scale; ASI-A) The pooled alpha estimate (18 data points) was moderate: 0.77 (95%CI=0.73-0.81) and there was high heterogeneity between studies (I 2 94.3%). The pooled sensitivity estimate for ASI-A (6 data points) was good: 0.83 (95%CI=0.67-0.92) and there was high heterogeneity between studies (I 2 87.6%). The pooled specificity estimate for ASI-A (6 data points) was moderate: 0.79 (95%CI=0.67-0.88) and there was high heterogeneity between studies (I 2 91.2%). There was insufficient data to calculate pooled kappa, PPV and NPV estimates for ASI-A. Addiction Severity Index-Drugs (drugs sub-scale; ASI-D) The pooled alpha estimate for ASI-D (16 data points) was unsatisfactory: 0.68 (95%CI=0.63-0.74) and there was high heterogeneity between studies (I 2 95.6%). The pooled sensitivity estimate (5 data points) was good: 0.86 (95%CI=0.83-0.89) and there was moderate heterogeneity between studies (I 2 62.5%). The pooled specificity estimate (5 data points) was good: 0.85 (95%CI=0.77-0.91) and there was high heterogeneity between studies (I 2 86%). There was insufficient data to calculate the pooled kappa, PPV and NPV estimates. The Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST) The pooled alpha estimate (7 data points) was good: 0.85 (95%CI=0.80-0.91) and there was high heterogeneity between studies (I 2 94%). The pooled sensitivity estimate (2 data points) was good: 0.83 (95%CI=0.80-0.87) and there was low heterogeneity between studies (I 2 0%). The pooled specificity estimate (2 data points) was moderate: 0.73 (95%CI=0.57-0.88) and there was high heterogeneity between studies (I 2 91%). There was insufficient data to calculate the pooled estimate for kappa, PPV, and NPV. Alcohol Use Disorders Identification Test (AUDIT) The pooled alpha estimate for AUDIT (80 data points) was moderate: 0.85 (95%CI=0.83-0.87) and there was high heterogeneity between studies (I 2 98%). The pooled kappa estimate for AUDIT (4 data points) was unsatisfactory: 0.46 (95%CI=0.25-0.67) and there was high heterogeneity between studies (I 2 0.99). The pooled sensitivity estimate for AUDIT (135 data points) was good: 0.86 (95%CI=0.84-0.88) and there was high heterogeneity between studies (I 2 97%). The pooled specificity estimate for AUDIT (135 data points) was good: 0.87 (95%CI=0.85-0.89) and there was high heterogeneity between studies (I 2 99%). The pooled PPV estimate for AUDIT (65 data points) was moderate: 0.61 (95%CI=0.51-0.71) and there was high heterogeneity between studies (I 2 99%). The pooled NPV estimate for AUDIT (54 data points) was excellent: 0.94 (95%CI=0.93-0.95) and there was high heterogeneity between studies (I 2 96%) Alcohol Use Disorders Identification Test-3 (AUDIT-3) Alpha cannot be calculated for AUDIT-3 because it is a single-item measure. There was insufficient data to calculate the pooled estimate for kappa. The pooled sensitivity estimate for AUDIT-3 (22 data points) was good: 0.84 (95%CI=0.80-0.88) and there was high heterogeneity between studies (I 2 90%). The pooled specificity estimate for AUDIT-3 (22 data points) was good: 0.84 (95%CI=0.75-0.90) and there was high heterogeneity between studies (I 2 99%). The pooled PPV estimate for AUDIT-3 (9 data points) was moderate: 0.63 (95%CI=0.49-0.77) and there was high heterogeneity between studies (I 2 99%). The pooled NPV estimate (7 data points) was excellent: 0.94 (95%CI=0.90-0.98) and there was high heterogeneity between studies (I 2 95%). Alcohol Use Disorders Identification Test-C (AUDIT-C) The pooled alpha estimate for AUDIT-C (20 data points) was fair: 0.75 (95%CI=0.70-0.80) and there was high heterogeneity between studies (I 2 99%). The pooled kappa estimate for AUDIT-C (2 data points) was unsatisfactory: 0.41 (95%CI=0.39-0.43) and there was low heterogeneity between studies (I 2 0%). The pooled sensitivity estimate for AUDIT-C (45 data points) was good: 0.87 (95%CI=0.84-0.90) and there was high heterogeneity between studies (I 2 99%). The pooled specificity estimate for AUDIT-C (45 data points) was good: 0.84 (95%CI=0.81-0.87) and there was high heterogeneity between studies (I 2 99%). The pooled PPV estimate for AUDIT-C (22 data points) was low: 0.50 (95%CI=0.39 -0.60) and there was high heterogeneity between studies (I 2 99%). The pooled NPV estimate for AUDIT-C (19 data points) was good: 0.88 (95%CI=0.83-0.92) and there was high heterogeneity between studies (I 2 99%). Brief Michigan Alcoholism Screening Test (B-MAST) There was insufficient data to calculate the pooled estimate for B-MAST’s alpha and kappa. The pooled sensitivity estimate for B-MAST (21 data points) was low: 0.50 (95%CI=0.38-0.62) and there was high heterogeneity between studies (I 2 99%). The pooled specificity estimate for B-MAST (21 data points) was excellent: 0.97 (95%CI=0.96-0.98) and there was high heterogeneity between studies (I 2 97%). The pooled PPV estimate for B-MAST (3 data points) was moderate: 0.65 (95%CI=0.38-0.93) and there was high heterogeneity between studies (I 2 99%). The pooled NPV estimate for B-MAST (2 data points) was excellent: 0.90 (95%CI=0.87-0.94) and there was moderate heterogeneity between studies (I 2 33%). Cut down, Annoyed, Guilty, Eye-opener (CAGE) The pooled alpha estimate for CAGE (22 data points) was unsatisfactory: 0.70 (95%CI=0.65-0.75) and there was high heterogeneity between studies (I 2 98%). The pooled kappa estimate for CAGE (3 data points) was unsatisfactory: 0.57 (95%CI=0.34-0.81) and there was high heterogeneity between studies (I 2 0.97). The pooled sensitivity estimate for CAGE (139 data points) was moderate: 0.70 (95%CI=0.66-0.74) and there was high heterogeneity between studies (I 2 98%). The pooled specificity estimate for CAGE (139 data points) was good: 0.90 (95%CI=0.88-0.91) and there was high heterogeneity between studies (I 2 99%). The pooled PPV estimate for CAGE (61 data points) was low: 0.51 (95%CI=0.45-0.58) and there was high heterogeneity between studies (I 2 99%). The pooled NPV estimate for CAGE (39 data points) was excellent: 0.91 (95%CI=0.88-0.93) and there was high heterogeneity between studies (I 2 97%). Composite International Diagnostic Interview (CIDI), original version, version 2.1 and version 3 Alpha coefficients are not calculated for CIDI. The pooled kappa estimate for the original version of CIDI (2 data points) was moderate: 0.82 (95%CI=0.61-1.02) and there was high heterogeneity between studies (I 2 0.78). There was insufficient data to calculate the pooled estimate for sensitivity, specificity, PPV, and NPV for the original CIDI. The pooled sensitivity estimate for CIDI version 2.1 (3 data points) was fair: 0.75 (95%CI=0.69-0.81) and there was low heterogeneity between studies (I 2 0.0%). The pooled specificity estimate for CIDI version 2.1 (3 data points) was good: 0.84 (95%CI=0.69-1.00) and there was high heterogeneity between studies (I 2 98.7%). There was insufficient data to calculate the pooled estimate for kappa, PPV, and NPV for CIDI version 2.1. The pooled sensitivity estimate for CIDI version 3 (4 data points) was excellent: 0.91 (95%CI=0.82-1.00) and there was moderate heterogeneity between studies (I 2 48.1%). The pooled specificity estimate for CIDI version 3 (4 data points) was excellent: 0.99 (95%CI=0.98-1.00) and there was low heterogeneity between studies (I 2 0.0%). The pooled PPV estimate for CIDI version 3 (4 data points) was excellent: 0.91 (95%CI=0.87-0.96) and there was low heterogeneity between studies (I 2 0.0%). The pooled NPV estimate for CIDI version 3 (4 data points) was excellent: 0.99 (95%CI=0.98-1.00) and there was low heterogeneity between studies (I 2 0.0%). There was insufficient data to calculate the pooled estimate for kappa CIDI version 3. Car, Relax, Alone, Forget, Friends, Trouble (CRAFFT) The pooled alpha estimate for CRAFFT (6 data points) was unsatisfactory: 0.69 (95%CI=0.64-0.74) and there was high heterogeneity between studies (I 2 83%). There was insufficient data to calculate the pooled estimate for kappa for CRAFFT. The pooled sensitivity estimate for CRAFFT (10 data points) was good: 0.90 (95%CI=0.84-0.94) and there was high heterogeneity between studies (I 2 97%). The pooled specificity estimate for CRAFFT (10 data points) was moderate: 0.76 (95%CI=0.68-0.83) and there was high heterogeneity between studies (I 2 97%). The pooled PPV estimate for CRAFFT (8 data points) was low: 0.57 (95%CI=0.34-0.80) and there was high heterogeneity between studies (I 2 99%). The pooled NPV estimate for CRAFFT (8 data points) was good: 0.86 (95%CI=0.45-1.00) and there was high heterogeneity between studies (I 2 99%) Drug Abuse Screen Test (DAST) The pooled alpha estimate for DAST (6 data points) was excellent: 0.94 (95%CI=0.93-0.95) and there was low heterogeneity between studies (I 2 0%). The pooled kappa estimate for DAST (2 data points) was moderate: 0.83 (95%CI=0.58-1.00) and there was high heterogeneity between studies (I 2 0.98). The pooled sensitivity estimate for DAST (7 data points) was good: 0.85 (95%CI=0.74-0.92) and there was high heterogeneity between studies (I 2 89%). The pooled specificity estimate for DAST (7 data points) was good: 0.84 (95%CI=0.68-0.93) and there was high heterogeneity between studies (I 2 97%). The pooled PPV estimate for DAST (5 data points) was low: 0.51 (95%CI=0.32-0.70) and there was high heterogeneity between studies (I 2 98%). The pooled NPV estimate for DAST (4 data points) was excellent: 0.95 (95%CI=0.89-1.00) and there was high heterogeneity between studies (I 2 81%). Drug Abuse Screen Test - 10-item version (DAST-10) The pooled alpha estimate DAST-10 (6 data points) was fair: 0.79 (95%CI=0.68-0.89) and there was high heterogeneity between studies (I 2 98%). There was insufficient data to calculate the pooled estimate for kappa for DAST-10. The pooled sensitivity estimate for DAST-10 (6 data points) was excellent: 0.90 (95%CI=0.75-0.97) and there was high heterogeneity between studies (I 2 95%). The pooled specificity estimate for DAST-10 (6 data points) was good: 0.82 (95%CI=0.72-0.89) and there was high heterogeneity between studies (I 2 92%). The pooled PPV estimate for DAST-10 (4 data points) was good: 0.80 (95%CI=0.70-0.91) and there was high heterogeneity between studies (I 2 99%). The pooled NPV estimate for DAST-10 (4 data points) was good: 0.86 (95%CI=0.81-0.91) and there was moderate heterogeneity between studies (I 2 40%). Drug Use Disorders Identification Test (DUDIT) The pooled alpha estimate for DUDIT (15 data points) was excellent: 0.92 (95%CI=0.90-0.95) and there was high heterogeneity between studies (I 2 96%). There was insufficient data to calculate the pooled kappa estimate for DUDIT. The pooled sensitivity estimate for DUDIT (12 data points) was excellent: 0.93 (95%CI=0.89-0.96) and there was high heterogeneity between studies (I 2 76%). The pooled specificity estimate for DUDIT (12 data points) was moderate: 0.79 (95%CI=0.67-0.87) and there was high heterogeneity between studies (I 2 96%). The pooled PPV estimate (5 data points) was moderate: 0.61 (95%CI=0.34-0.87) and there was high heterogeneity between studies (I 2 99%). The pooled NPV estimate (5 data points) was excellent: 0.92 (95%CI=0.82-1.00) and there was high heterogeneity between studies (I 2 78%). Michigan Alcohol Screening Test (MAST) The pooled alpha estimate for MAST (8 data points) was moderate: 0.82 (95%CI=0.78-0.86) and there was high heterogeneity between studies (I 2 83%). The pooled kappa estimate for MAST (4 data points) was unsatisfactory: 0.69 (95%CI=0.58-0.81) and there was high heterogeneity between studies (I 2 0.88). The pooled sensitivity estimate for MAST (12 data points) was moderate: 0.70 (95%CI=0.58-0.80) and there was high heterogeneity between studies (I 2 95%). The pooled specificity estimate for MAST (12 data points) was good: 0.85 (95%CI=0.77-0.91) and there was high heterogeneity between studies (I 2 97%). The pooled PPV estimate for MAST (9 data points) was low: 0.51 (95%CI=0.30-0.71) and there was high heterogeneity between studies (I 2 98%). The pooled NPV estimate for MAST (6 data points) was good: 0.88 (95%CI=0.82-0.94) and there was high heterogeneity between studies (I 2 92%). Problem Oriented Screening Instrument for Teenagers (POSIT) The pooled alpha estimate for POSIT (2 data points) was good: 0.86 (95%CI=0.73-0.98) and there was high heterogeneity between studies (I 2 94%). The pooled sensitivity estimate for POSIT (3 data points) was good: 0.84 (95%CI=0.72-0.96) and there was high heterogeneity between studies (I 2 90%). The pooled specificity estimate for POSIT (3 data points) was good: 0.82 (95%CI=0.75-0.90) and there was high heterogeneity between studies (I 2 88%). There was insufficient data to calculate the pooled kappa, PPV, and NPV estimates for POSIT. Self-Administered Alcoholism Screening Test (SAAST) The pooled alpha estimate for SAAST (2 data points) was good: 0.89 (95%CI=0.79-0.99) and there was high heterogeneity between studies (I 2 95%). The pooled sensitivity estimate for SAAST (7 data points) was low: 0.52 (95%CI=0.33-0.71) and there was high heterogeneity between studies (I 2 98%). The pooled specificity estimate (7 data points) was good: 0.83 (95%CI=0.76-0.90) and there was high heterogeneity between studies (I 2 98%). The pooled PPV estimate for SAAST (6 data points) was low: 0.32 (95%CI=0.22-0.42) and there was high heterogeneity between studies (I 2 95%). The pooled NPV estimate for SAAST (6 data points) was excellent: 0.92 (95%CI=0.89-0.95) and there was high heterogeneity between studies (I 2 92%). There was insufficient data to calculate the pooled kappa estimates for SAAST. Semi-Structured Assessment for Drug Dependence and Alcoholism (SSADDA) There are no alpha coefficients associated with semi-structures assessments such as SSADDA. The pooled kappa estimate for SSADDA (8 data points) was moderate: 0.84 (95%CI=0.77-0.91) and there was high heterogeneity between studies (I 2 0.97). There was insufficient data to calculate the pooled sensitivity, specificity, PPV and NPV estimates for SSADDA. Severity of Dependence (SDS) The pooled alpha estimate for SDS (6 data points) was good: 0.86 (95%CI=0.78-0.93) and there was high heterogeneity between studies (I 2 95%). The pooled sensitivity estimate for SDS (6 data points) was good: 0.83 (95%CI=0.76-0.90) and there was high heterogeneity between studies (I 2 77%). The pooled specificity estimate (6 data points) was good: 0.84 (95%CI=0.78-0.89) and there was moderate heterogeneity between studies (I 2 44%). The pooled PPV estimate for SDS (3 data points) was good: 0.90 (95%CI=0.86-0.94) and there was low heterogeneity between studies (I 2 0%). The pooled NPV estimate for SDS (3 data points) was good: 0.83 (95%CI=0.76-0.89) and there was low heterogeneity between studies (I 2 3.5%). There was insufficient data to calculate the pooled kappa estimate for SDS. Tolerance-Annoyance Cut Down Eye Opener (T-ACE) The pooled alpha estimate for T-ACE (2 data points) was unsatisfactory: 0.50 (95%CI=0.47-0.52) and there was high heterogeneity between studies (I 2 29%). The pooled sensitivity estimate for T-ACE (8 data points) was good: 0.83 (95%CI=0.74-0.92) and there was high heterogeneity between studies (I 2 96%). The pooled specificity estimate for T-ACE (8 data points) was moderate: 0.72 (95%CI=0.65-0.79) and there was high heterogeneity between studies (I 2 98%). The pooled PPV estimate for T-ACE (6 data points) was low: 0.35 (95%CI=0.25-0.45) and there was high heterogeneity between studies (I 2 99%). The pooled NPV estimate for T-ACE (2 data points) was good: 0.87 (95%CI=0.62-1.00) and there was high heterogeneity between studies (I 2 97%). There was insufficient data to calculate the pooled estimate for kappa for T-ACE. Timeline Followback (TLFB) There are no alpha coefficients associated with TLFB. The pooled kappa estimate for TLFB (3 data points) was good: 0.86 (95%CI=0.81-0.91) and there was high heterogeneity between studies (I 2 0.88). The pooled sensitivity estimate for TLFB (4 data points) was moderate: 0.80 (95%CI=0.73-0.87) and there was moderate heterogeneity between studies (I 2 63%). The pooled specificity estimate for TLFB (3 data points) was excellent: 0.97 (95%CI=0.95-0.99) and there was low heterogeneity between studies (I 2 0%). There was insufficient data to calculate the pooled estimate for PPV and NPV for TLFB. Tolerance, Worried, Eye-Opener, Amnesia, Cut down (TWEAK) The pooled alpha estimate for TWEAK (3 data points) was unsatisfactory: 0.62 (95%CI=0.55-0.69) and there was high heterogeneity between studies (I 2 86%). The pooled sensitivity estimate for TWEAK (36 data points) was good: 0.85 (95%CI=0.80-0.89) and there was high heterogeneity between studies (I 2 96%). The pooled specificity estimate for TWEAK (36 data points) was good: 0.86 (95%CI=0.82-0.90) and there was high heterogeneity between studies (I 2 99%). The pooled PPV estimate for TWEAK (5 data points) was low: 0.43 (95%CI=0.26-0.61) and there was high heterogeneity between studies (I 2 99%). The pooled NPV estimate for TWEAK (2 data points) was good: 0.88 (95%CI=0.70-1.00) and there was high heterogeneity between studies (I 2 95%). There was insufficient data to calculate the pooled estimate for kappa for TWEAK. The Chemical Use, Abuse, and Dependence (CUAD) The pooled alpha estimate for CUAD (3 data points) was excellent: 0.96 (95%CI=0.94-0.98) and there was high heterogeneity between studies (I 2 95%). There was insufficient data to calculate the pooled estimate for kappa, sensitivity, specificity, PPV, and NPV for CUAD. Biomarkers: Alanine transaminase (ALT) The pooled sensitivity estimate for ALT (32 data points) was low: 0.32 (95%CI=0.24-0.40) and there was high heterogeneity between studies (I 2 96.1%). The pooled specificity estimate for ALT (32 data points) was good: 0.88 (95%CI=0.83-0.92) and there was high heterogeneity between studies (I 2 95.8%). The pooled PPV estimate for ALT (7 data points) was low 0.37 (95%CI=0.18-0.56) and there was high heterogeneity between studies (I 2 96.1%). The pooled NPV estimate for ALT (4 data points) was moderate: 0.63 (95%CI=0.42-0.85) and there was high heterogeneity between studies (I 2 97.5%). Aspartate transaminase (AST) The pooled sensitivity estimate for AST (33 data points) was low: 0.48 (95%CI=0.40-0.55) and there was high heterogeneity between studies (I 2 97%). The pooled specificity estimate for AST (33 data points) was good: 0.86 (95%CI=0.81-0.90) and there was high heterogeneity between studies (I 2 97%). The pooled PPV estimate for AST (8 data points) was low: 0.42 (95%CI=0.27-0.57) and there was high heterogeneity between studies (I 2 93%). The pooled NPV estimate for AST (6 data points) was moderate: 0.69 (95%CI=0.55-0.83) and there was high heterogeneity between studies (I 2 95%). Aspartate transaminase, Alanine transaminase ratio (AST/ALT ratio) The pooled sensitivity estimate for AST/ALT ratio (6 data points) was low: 0.34 (95%CI=0.22-0.46) and there was high heterogeneity between studies (I 2 96%). The pooled specificity estimate (4 data points) was moderate: 0.73 (95%CI=0.52-0.94) and there was high heterogeneity between studies (I 2 98%). There was insufficient data to calculate the pooled estimate for PPV and NPV. Blood alcohol concentration (BAC) The pooled sensitivity estimate for BAC (5 data points) was moderate: 0.64 (95%CI=0.59-0.69) and there was moderate heterogeneity between studies (I 2 44%). The pooled specificity estimate for BAC (5 data points) was moderate: 0.80 (95%CI=0.72-0.87) and there was high heterogeneity between studies (I 2 93%). The pooled PPV estimate for BAC (3 data points) was low: 0.60 (95%CI=0.15-1.00) and there was high heterogeneity between studies (I 2 98%). The pooled NPV estimate for BAC (3 data points) was moderate: 0.69 (95%CI=0.52-0.86) and there was high heterogeneity between studies (I 2 93%). Carbohydrate deficient transferrin (CDT) There are no alpha and kappa coefficients associated with biomarkers such as CDT. The pooled sensitivity estimate for CDT (8 data points) was low: 0.59 (95%CI=0.43-0.73) and there was high heterogeneity between studies (I 2 97%). The pooled specificity estimate for CDT (8 data points) was excellent: 0.96 (95%CI=0.93-0.98) and there was moderate heterogeneity between studies (I 2 72%). The pooled PPV estimate for CDT (6 data points) was good: 0.85 (95%CI=0.74-0.97) and there was high heterogeneity between studies (I 2 76%). The pooled NPV estimate for CDT (6 data points) was moderate: 0.79 (95%CI=0.73-0.85) and there was high heterogeneity between studies (I 2 96%). Carbohydrate deficient transferrin-Tech (CDTech) There are no alpha and kappa coefficients associated with biomarkers such as CDTech. The pooled sensitivity estimate for CDTech (41 data points) was low: 0.54 (95%CI=0.45-0.62) and there was high heterogeneity between studies (I 2 99%). The pooled specificity estimate for CDTech (41 data points) was good: 0.89 (95%CI=0.88-0.91) and there was high heterogeneity between studies (I 2 88%). The pooled PPV estimate for CDTech (12 data points) was low: 0.52 (95%CI=0.37-0.67) and there was high heterogeneity between studies (I 2 95%). The pooled NPV estimate for CDTech (8 data points) was moderate: 0.80 (95%CI=0.61-0.98) and there was high heterogeneity between studies (I 2 99%). Carbohydrate deficient transferrin with Mean corpuscular volume (CDT with MCV) There are no alpha and kappa coefficients associated with biomarkers such as CDT and MCV. The pooled sensitivity estimate for CDT with MCV (8 data points) was moderate: 0.74 (95%CI=0.60-0.88) and there was high heterogeneity between studies (I 2 98%). The pooled specificity estimate for CDT with MCV (4 data points) was excellent: 0.93 (95%CI=0.91-0.95) and there was low heterogeneity between studies (I 2 0%). The pooled PPV estimate for CDT with MCV (4 data points) was moderate: 0.74 (95%CI=0.51-0.97) and there was high heterogeneity between studies (I 2 98%). The pooled NPV estimate for CDT with MCV (4 data points) was excellent: 0.92 (95%CI=0.83-1.00) and there was high heterogeneity between studies (I 2 95%) Gamma-Glutamyl Transferase (GGT) There are no alpha and kappa coefficients associated with biomarkers such as GGT. The pooled sensitivity estimate for GGT (76 data points) was low: 0.57 (95%CI=0.50-0.64) and there was high heterogeneity between studies (I 2 99%). The pooled specificity estimate for GGT (76 data points) was good: 0.83 (95%CI=0.78-0.86) and there was high heterogeneity between studies (I 2 98%). The pooled PPV estimate for GGT (30 data points) was low: 0.43 (95%CI=0.35-0.51) and there was high heterogeneity between studies (I 2 97%). The pooled NPV estimate for GGT (23 data points) was good: 0.82 (95%CI=0.70-0.94) and there was high heterogeneity between studies (I 2 99%). Gamma-Glutamyl Transferase with Mean corpuscular volume (GGT with MCV) There are no alpha and kappa coefficients associated with biomarkers such as GGT and MCV. The pooled sensitivity estimate for GGT with MCV (10 data points) was moderate: 0.64 (95%CI=0.38-0.84) and there was high heterogeneity between studies (I 2 99%). The pooled specificity estimate for GGT with MCV (10 data points) was good: 0.87 (95%CI=0.76-0.93) and there was high heterogeneity between studies (I 2 97%). The pooled PPV estimate for GGT with MCV (6 data points) was low: 0.47 (95%CI=0.28-0.66) and there was high heterogeneity between studies (I 2 98%). The pooled NPV estimate for GGT with MCV (6 data points) was good: 0.88 (95%CI=0.81-0.95) and there was high heterogeneity between studies (I 2 94%) Ethyl glucuronide (EtG) There are no alpha and kappa coefficients associated with biomarkers such as EtG. The pooled sensitivity estimate for EtG (6 data points) was good: 0.83 (95%CI=0.61-0.94) and there was high heterogeneity between studies (I 2 91%). The pooled specificity estimate for EtG (6 data points) was excellent: 0.95 (95%CI=0.90-0.98) and there was high heterogeneity between studies (I 2 66%). The pooled PPV estimate for EtG (2 data points) was moderate: 0.61 (95%CI=0.39-0.84) and there was moderate heterogeneity between studies (I 2 58%). The pooled NPV estimate for EtG (2 data points) was good: 0.86 (95%CI=0.78-0.94) and there was moderate heterogeneity between studies (I 2 60%). Mean corpuscular volume (MCV) There are no alpha and kappa coefficients associated with biomarkers such as MCV. The pooled sensitivity estimate for MCV (55 data points) was low: 0.39 (95%CI=0.33-0.45) and there was high heterogeneity between studies (I 2 97%). The pooled specificity estimate for MCV (55 data points) was excellent: 0.91 (95%CI=0.88-0.93) and there was high heterogeneity between studies (I 2 98%). The pooled PPV estimate for MCV (28 data points) was low: 0.48 (95%CI=0.36-0.59) and there was high heterogeneity between studies (I 2 98%). The pooled NPV estimate for MCV (22 data points) was moderate: 0.79 (95%CI=0.73-0.86) and there was high heterogeneity between studies (I 2 99%). Percent Carbohydrate deficient transferrin (%CDT) The pooled sensitivity estimate for %CDT (40 data points) was low: 0.56 (95%CI=0.47-0.65) and there was high heterogeneity between studies (I 2 98.2%). The pooled specificity estimate for %CDT (40 data points) was 0.91, which is considered as excellent (95%CI=0.88-0.94) and there was high heterogeneity between studies (I 2 97%). The pooled PPV estimate for %CDT (13 data points) was low: 0.58 (95%CI=0.38-0.78) and there was high heterogeneity between studies (I 2 98.5%). The pooled NPV estimate for %CDT (13 data points) was good: 0.85 (95%CI=0.78-0.92) and there was high heterogeneity between studies (I 2 97.6%). Phosphatidylethanol (PEth) There are no alpha and kappa coefficients associated with biomarkers such as PEth. The pooled sensitivity estimate for PEth (7 data points) was good: 0.87 (95%CI=0.79-0.96) and there was high heterogeneity between studies (I 2 94%). The pooled specificity estimate for PEth (4 data points) was excellent: 0.94 (95%CI=0.91-0.97) and there was moderate heterogeneity between studies (I 2 31%). There was insufficient data to calculate the pooled estimate for PPV and NPV for PEth Discussion In this systematic review and meta-analysis, we identified 387 unique papers that have published data on the validity, reliability and diagnostic accuracy of 37 scales for substance classes that are associated with HIV risk. We observed based on meta-analyzable data available, that fourteen of the thirty-seven measures/scales (38%) that had all pooled estimates consistently meet criteria for acceptability (e.g., ranging between fair/moderate-to-excellent), which included the following self-reported measures: Alcohol Dependence Scale Addiction Severity Index (ASI) ASI subscale for Alcohol; ASSIST Composite International Diagnostic Interview Drug Abuse Screen Test - 10 item scale Drug Use Disorders Identification Test Problem Oriented Screening Instrument for Teenagers Severity of Dependence scale Timeline Followback Chemical Use, Abuse, and Dependence Biomarkers that had all pooled estimates that were fair/moderate or better include the following: Ethyl glucuronide Phosphatidylethanol test The combined used of Carbohydrate deficient transferrin and Mean corpuscular volume. Taken together, our findings highlight the availability of a promising range of tools for researchers and practitioners when assessing substance use, particularly those working with classes of substances associated with HIV risk, such as heroin, methamphetamine, cocaine, ecstasy, and alcohol. Nevertheless, further research is needed to determine why some substance use measures do not consistently have acceptable psychometric properties across different studies. Overall, while most of the self-reported scales had acceptable validity, most did not have acceptable reliability: 65% of pooled estimates for alpha were in the range of fair-to-excellent though only 44% of estimates for kappa were in the range of fair-to-excellent. Moreover, a greater proportion of the scales we identified and meta-analyzed were better at correctly identifying individuals who are truly not using substances/not problematic users among those truly without these conditions (specificity: 97% of summary estimates) and among those who were deemed as not having this condition in the scale (negative predictive value: 96%). In contrast to specificity and negative predictive value estimates, fewer scales had pooled estimates on sensitivity and positive predictive value that were in the fair-to-excellent range (69% and 37%, respectively). These may have implications in the application of these measures in different settings. For example, in the criminal justice system, it may be better to utilize measures that have high specificity and negative predictive properties if the priority is to avoid false-positive results. However, in health settings, it may be more ideal to use measures with better sensitivity and positivity to better capture individuals who may require further assessment for substance use disorder assessments and treatment referrals, as appropriate. Overall, the studies identified in this review had administered scales in English, were conducted within in the United States, and were less commonly tested among exclusively-women samples (there were twice as many exclusively-men samples in comparison). These findings highlight the general lack of diversity in terms of language, setting, and study population for the studies reporting validity, reliability, and diagnostic accuracy on substance use measures. Given the high morbidity and mortality associated with substance use globally and for different risk populations, greater effort is needed to further evaluate the psychometric properties of substance use measures in such samples. This study also found that few papers on substance use psychometric properties are “low risk” across all QUADAS 2 domains (16%). This finding highlights the need to further study the validity, reliability, and diagnostic accuracy of substance use measures using studies designed with better methodological rigor to reduce risk of bias. This present study has several limitations. First, our inclusion criteria may have excluded some potentially relevant studies on the psychometric properties of substance use measures that were not published in English. Hence, although we included measures that were not administered in English as long as they were published in English, our findings may not necessarily be generalizable to the psychometric properties of non-English measures that were not published in English. It should also be noted that our eligibility criteria likely favored the inclusion of studies that were conducted in settings where English proficiency was higher, which is correlated with countries with higher gross national income per capita (42). Moreover, while our search strategy was developed to try and identify all the relevant studies, many publications that have calculated our psychometric properties of interest may not have language referencing the specific key words/terms in our strategy in their titles and/or abstracts. In particular, this may occur because the psychometric data of scales may not be considered a “primary outcome” of a study, and thus not be highlighted in the title or abstract (i.e., the relevant data are imbedded within the full-text only). Additionally, while we did not specifically seek out studies only among HIV-risk populations, per se, our study did focus on substance classes that have been associated with HIV risk, namely alcohol, stimulants (methamphetamine, amphetamine, cocaine, ecstasy), and heroin. Hence, our search may have missed studies on more general substance use measures that did not explicitly name our targeted substance classes. Therefore, our findings should be interpreted with this limitation in mind. Furthermore, we were unable to calculate pooled estimates for some psychometric outcomes of several measures due to lack of published data. Further research to fill our gaps in knowledge on the psychometric properties of these substance use measures. To our knowledge, this is the first systematic review and meta-analysis involving the synthesis of psychometric data across different measures of substances that are associated with HIV risk. As mentioned, limited research has been conducted with respect with quantitatively pooling the psychometric characteristics of substance use measures. Our findings highlight the general strengths of many substance use measures with respect to their validity, reliability, and diagnostic accuracy across multiple studies/samples. To facilitate the dissemination of these findings, and provide researchers with a resource to identify validated, reliable, and accurate measures for substance use, we collaborated with members of the [BLINDED] Scientific Committee to develop a web-based tool, with the results of the pooled summary estimates presented in this study. The tool, named “Substance Use Measure Identification (SUMI) Tool” is available as a free resource in the [BLINDED] website (URL: [BLINDED]). In summary, researchers in the field of substance use should endeavor to conduct more validity, reliability, and diagnostic accuracy studies on measures to identify substance use and use disorders among more diverse settings and populations, and with more rigorous study designs. Ultimately, accurate identification of substance users and problematic substance use is a critical step in identifying individuals for substance use treatment and evaluating the effectiveness of treatment strategies. Hence, further evaluation of substance use measures is of great importance not only to the field of substance use research, but also substance use treatment. Given the substantial contribution of substance use to the global burden of disease (5), having robust data on the psychometric properties of substance use measure can help researchers identify the best tools to use in research studies, further enhancing the collection of more valid, reliable, accurate data to inform evidence-based responses to substance use. Conclusions In summary, researchers in the field of substance use should endeavor to conduct more validity, reliability, and diagnostic accuracy studies on measures to identify substance use and use disorders among more diverse settings and populations, and with more rigorous study designs. Ultimately, accurate identification of substance users and problematic substance use is a critical step in identifying individuals for substance use treatment and evaluating the effectiveness of treatment strategies. Hence, further evaluation of substance use measures is of great importance not only to the field of substance use research, but also substance use treatment. Given the substantial contribution of substance use to the global burden of disease (5), having robust data on the psychometric properties of substance use measure can help researchers identify the best tools to use in research studies, further enhancing the collection of more valid, reliable, accurate data to inform evidence-based responses to substance use. Abbreviations %CDT % Carbohydrate deficient transferrin ADS Alcohol Dependence Scale ALT Alanine transaminase ART Antiretroviral therapy ASI Addiction Severity Index ASI-A Addiction Severity Index-Alcohol (alcohol sub-scale) ASI-D Addiction Severity Index-Drugs (drugs sub-scale) ASSIST The Alcohol, Smoking, and Substance Involvement Screening Test AST Aspartate transaminase AST/ALT Aspartate transaminase, Alanine transaminase ratio AUDADIS Alcohol Use Disorder and Associated Disabilities Interview Schedule AUDIT Alcohol Use Disorders Identification Test AUDIT-3 Alcohol Use Disorders Identification Test - Question 3 AUDIT-C Alcohol Use Disorders Identification Test - C B-MAST Brief Michigan Alcoholism Screening Test BAC Blood alcohol concentration CAGE Cut down, Annoyed, Guilty, Eye-opener CDT Carbohydrate deficient transferrin CDTech CDTech CDT + MCV Carbohydrate deficient transferrin + Mean corpuscular volume CIDI Composite International Diagnostic Interview CRAFFT Car, Relax, Alone, Forget, Friends, Trouble CUAD The Chemical Use, Abuse, and Dependence DALY Disability-adjusted life year DAST Drug Abuse Screen Test DAST-10 Drug Abuse Screen Test – 10 item DSM Diagnostic and Statistical Manual of Mental Disorders DUDIT Drug Use Disorders Identification Test GGT Gamma-Glutamyl Transferase GGT + MCV Gamma-Glutamyl Transferase + Mean corpuscular volume HIV Human immunodeficiency virus EtG Ethyl glucuronide MAST Michigan Alcohol Screening Test MCV Mean corpuscular volume MDMA 3,4-methylenedioxy-methamphetamine MeSH Medical Subject Headings MLIS Master’s degree in library and information science NPV Negative predictive value PEth Phosphatidylethanol PLWH People living with HIV POSIT Problem Oriented Screening Instrument for Teenagers PPV Positive predictive value QUADAS-2 Revised Tool for the Quality Assessment of Diagnostic Accuracy Studies SAAST Self-Administered Alcoholism Screening Test SSADDA Semi-Structured Assessment for Drug Dependence and Alcoholism SDS Severity of Dependence TACE Tolerance-Annoyance Cut Down Eye Opener TLFB Timeline Followback TWEAK Tolerance, Worried, Eye-Opener, Amnesia, Cut down Declarations -Ethics approval and consent to participate This study involved only analysis of data from published scientific literature; we did not collect any primary data. -Consent for publication Not applicable. -Availability of data and material All data used in this meta-analyses have been previously published and accessible in the literature. -Competing interests Authors declare no competing interests. -Funding This study was supported by HPTN, which receives its funding from three NIH Institutes: the National Institute of Allergy and Infectious Diseases, the National Institute of Mental Health and the National Institute on Drug Abuse (Grant # UM1 AI068619). No funding bodies had any role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. -Author Contributions: GMS performed the data analysis, interpreted the data, and let the preparation of the manuscript. SAS, NE, SS, designed the study with GMS, and contributed to data interpretation and revising the manuscript critically for important intellectual content. PP, DS, DH, RC, CM, PM, FC, BK performed the systematic search, and data extraction, and contributed to data interpretation and revising the manuscript critically for important intellectual content. IA provided input on the data analysis and revise the manuscript critically for important intellectual content. -Acknowledgements We would like to thank Evans Whitaker, MD, MLIS from University of California San Francisco library for his assistance with the development and execution of the search strategy. 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Arch Pathol Lab Med. 2013;137(4):558-65. Bentley TG, Catanzaro A, Ganiats TG. Implications of the impact of prevalence on test thresholds and outcomes: lessons from tuberculosis. BMC Res Notes. 2012;5:563. Tables Table 1. Substance use Measures/Scales identified in Systematic Review and Meta-analyzed Scale Name Full Scale Abbreviation No. of Unique Studies* Description SELF-REPORTED MEASURES Alcohol Dependence Scale ADS 3 The Alcohol Dependence Scale (ADS) is an alcohol screening and assessment tool that provides a quantitative index for the severity of alcohol dependence. Developed with respect to the concept of alcohol dependence syndrome, the ADS is comprised of 25 items that assess withdrawal symptoms, alcohol tolerance, awareness of dependence, ability to control drinking, and the salience of drink-seeking behavior. Addiction Severity Index ASI 4 The Addiction Severity Index (ASI) is a structured interview for assessing alcohol and drug dependence. The ASI comprises 200 items across seven scales assessing past 30-day and lifetime alcohol use, drug use, medical problems, employment/support problems, legal problems, family/social problems, and psychological problems. Addiction Severity Index-Alcohol (alcohol sub-scale) ASI-A 22 The Addiction Severity Index – Alcohol (ASI-A) is the alcohol sub-scale of the Addiction Severity Index. It assesses frequency of past 30-day and lifetime alcohol use and intoxication, alcohol-related problems including withdrawal symptoms, and treatment experiences. Addiction Severity Index-Drugs (drugs sub-scale) ASI-D 20 The Addiction Severity Index – Drugs (ASI-D) is the drug sub-scale of the Addiction Severity Index. It assesses frequency of past 30-day and lifetime use of 10 drug classes (heroin, methadone, other opiates/analgesics, barbiturates, other sedatives/hypnotics/tranquilizers, cocaine, amphetamines, cannabis, hallucinogens, and inhalants), drug-related problems including overdose, and treatment experiences. The Alcohol, Smoking, and Substance Involvement Screening Test ASSIST 8 The Alcohol, Smoking and Substance Involvement Screening Test (ASSIST) is a tool developed by the World Health Organization to screen for risky use of alcohol, tobacco and other drugs. It comprises items measuring past three-month and lifetime frequency of use of tobacco products, alcohol and illicit drugs (cannabis, cocaine, amphetamine-type stimulants, inhalants, sedatives/sleeping pills, hallucinogens, opioids, other drugs) and related health, social, legal and financial problems. Alcohol Use Disorders Identification Test AUDIT 127 The Alcohol Use Disorders Identification Test (AUDIT) is a ten-question test developed by a World Health Organization-sponsored collaborative project to identify persons with hazardous and harmful patterns of alcohol consumption or alcohol dependence. It comprises questions on amount and frequency of alcohol consumed, alcohol dependence, and alcohol-related problems. Alcohol Use Disorders Identification Test - Question 3 AUDIT-3 16 The Alcohol Use Disorders Identification Test – 3 (AUDIT-3) is a brief alcohol screening instrument. Derived from the third question of the ten-item AUDIT developed by the World Health Organization, it consists of a single-item measure assessing heavy episodic drinking. Alcohol Use Disorders Identification Test - C AUDIT-C 42 The Alcohol Use Disorders Identification Test - Concise (AUDIT-C) is a brief alcohol screening instrument derived from the first three questions of the ten-item AUDIT developed by the World Health Organization. It assesses frequency of alcohol consumption, number of standard drinks consumed on a typical drinking day, and frequency of consumption of six or more drinks on one occasion. Brief Michigan Alcoholism Screening Test B-MAST 12 Adapted from the original Michigan Alcohol Screening Test (MAST), the Brief Michigan Alcohol Screening Test (B-MAST) is a shortened 10-item alcohol use questionnaire that aims to identify alcohol dependence. The 10 items assess the presence or absence of negative consequences as a result of drinking through yes or no self-reported responses. Cut down, Annoyed, Guilty, Eye-opener CAGE 98 CAGE is a four-item measure designed to identify problem drinking. The four items assess whether an individual has ever felt the need to cut down on their drinking, been annoyed by others’ criticism of their drinking, felt guilty about drinking, or felt the need to have a drink first-thing in the morning to steady their nerves or get rid of a hangover. Composite International Diagnostic Interview CIDI Original version: 2; Version 2.1: 2; Version 3: 2 The Composite International Diagnostic Interview (CIDI) is a structure interview developed by the World Health Organization to assess psychiatric disorders based on International Statistical Classification of Diseases and Related Health Problems (ICD) definitions and Diagnostic and Statistical Manual of Mental Disorders (DSM) criteria. Car, Relax, Alone, Forget, Friends, Trouble CRAFFT 11 The Car, Relax, Alone, Forget, Friends, Trouble (CRAFFT) questionnaire is screening tool to identify substance use problems among adolescents. Drug Abuse Screen Test DAST 10 The Drug Abuse Screen Test (DAST) is a 28-item questionnaire parallel to those of the Michigan Alcoholism Screening Test (MSM) to screen for drug use problems and consequences. Drug Abuse Screen Test – 10 item DAST-10 8 The Drug Abuse Screen Test – 10 item (DAST-10) is a shorten version of the DAST screening test. It is used to assess problems and consequences related to substance use. Drug Use Disorders Identification Test DUDIT 12 The Drug Use Disorders Identification Test (DUDIT), designed as a parallel instrument to the AUDIT, is an 11-item self-administered screening instrument for drug-related problems. It assesses use patterns of use and various drug-related problems. Michigan Alcohol Screening Test MAST 22 The Michigan Alcohol Screening Test (MAST) is a 25-item scale designed to assess lifetime symptoms of alcoholism with a focus on late-stage symptoms. Problem Oriented Screening Instrument for Teenagers POSIT 3 The Problem Oriented Screening Instrument for Teenagers (POSIT) is a self-administer screening questionnaire comprised of 139 items which screen for potential problems in 10 domains including Substance use and abuse; Physical health; Mental health; Family relations; Peer relations; Educational status; Vocational status; Social skills; Leisure/recreation; and Aggressive behavior. Self-Administered Alcoholism Screening Test SAAST 4 The Self-Administered Alcoholism Screening Test (SAAST) is a 35-item questionnaire to screen for alcohol dependence. It assesses problem related to alcohol in the following domains: loss of control, occupational and social disruption, physical consequences, emotional consequences, concern on the part of others, and family members with alcohol problems. Semi-Structured Assessment for Drug Dependence and Alcoholism SSADDA 1 The Semi-structured Assessment for Drug Dependence and Alcoholism (SSADDA) is a screening instrument that assesses alcohol/drug abuse and dependence as well as other DSM-IV disorders throughout the lifetime. It was developed from the Semi-Structured Assessment for the Genetics of Alcoholism, and therefore includes questions on the onset and recency of individual alcohol/drug abuse and dependence symptoms, allowing temporal assessment of symptom clusters. Its format as a semi-structured interview lists questions to be read verbatim, but also allows the interviewer to add follow-up questions. Severity of Dependence SDS 9 The Severity of Dependence Scale (SDS) is a 5-item questionnaire used to measure the degree of dependence on different classes of drugs, with a focus on the psychological components of dependence. Tolerance-Annoyance Cut Down Eye Opener TACE 9 Tolerance-Annoyance Cut Down Eye Opener (TACE) is a 4-item screening tool to identify maternal prenatal problematic alcohol use. Timeline Followback TLFB 5 The Timeline Followback (TLFB) is a method that involves the use of a timeline (e.g., calendar) to ask individuals to estimate their daily alcohol and/or drug use consumption retrospectively (e.g., 7 days, 2 years). Tolerance, Worried, Eye-Opener, Amnesia, Cut down TWEAK 17 Originally developed as an alcohol screening tool for periconceptional risk in obstetric outpatients, TWEAK, is a 5-item questionnaire that seeks to identify harmful drinking. The 5-items are comprised of questions from the MAST, CAGE, and T-ACE screening tools and cover tolerance, worry, eye-opener, amnesia, k/cut-down (which make up the acronym TWEAK). TWEAK is primarily used as an efficient method to determine whether or not the risk or presence of harmful drinking should be further assessed and/or treated. The Chemical Use, Abuse, and Dependence CUAD 1 The Chemical Use, Abuse, and Dependence (CUAD) is a semi-structure interview that can measure substance use severity and substance use disorders. BIOMARKERS % Carbohydrate deficient transferrin %CDT 35 Carbohydrate-deficient transferrin (CDT) is an alcohol biomarker that is used as a clinical screening and monitoring tool to identify heavy drinking. Transferrin is glycoprotein produced in the liver that normally has 3-5 carbohydrate side chains. Heavy alcohol use, however, inhibits the enzymes involved to appropriately regulate these side chains; causing the transferrin to be carbohydrate deficient. A %CDT reading ≥ 2.6 indicates that a participant may have had on average at least 5 alcoholic drinks daily for ≥ 2 weeks. Laboratory blood test can detect elevated levels of CDT (%CDT), which are indicative of heavy alcohol consumption and often used to detect relapses. Alanine transaminase ALT 26 Alanine aminotransferase (ALT) is a biomarker, which indicates liver damage from different types of disease and conditions. It that is used as a clinical screening and monitoring tool to check for chronic alcohol use. ALT is an enzyme found mostly in the cells of the liver and kidney. When the liver is damaged, ALT is released into the blood. Elevated ALT in laboratory tests is indicative of heavy alcohol consumption and often used to detect relapses. Aspartate transaminase AST 31 Aspartate transaminase (AST) is a biomarker, which indicates liver damage from different types of disease and conditions. It that is used as a clinical screening and monitoring tool to check for chronic alcohol use. The concentrations of AST in the serum are normally low. However, if the liver is damaged, the liver cell (hepatocyte) membrane becomes more permeable and some of the enzymes leak out into the blood circulation. Elevated AST in laboratory tests are indicative of chronic alcohol abuse Aspartate transaminase, Alanine transaminase ratio AST/ALT 5 AST and ALT are considered to be two of the most important tests to detect liver injury. The ALT: AST ratio is normally and in other condition is less than 1, but becomes greater than unity during liver injury. Elevated AST/ALT in laboratory tests are indicative of chronic alcohol abuse. Blood alcohol concentration BAC 5 Blood Alcohol Concentration (BAC) levels represent the percent of your blood that is concentrated with alcohol. It is most commonly used as a metric of alcohol intoxication for legal or medical purposes. Its primary goal is to determine if alcohol has been consumed. Carbohydrate deficient transferrin CDT 9 Carbohydrate-deficient transferrin (CDT) is an alcohol biomarker that is used as a clinical screening and monitoring tool to identify heavy drinking. Transferrin is glycoprotein produced in the liver that normally has 3-5 carbohydrate sidechains. Heavy alcohol use, however, inhibits the enzymes involved to appropriately regulate these sidechains; causing the transferrin to be carbohydrate deficient. Laboratory blood test can detect elevated levels of CDT (%CDT), which are indicative of heavy alcohol consumption and often used to detect relapses. CDTech CDTech 35 Description: CDTect is a common method of using carbohydrate-deficient transferrin (CDT) to screen for heavy alcohol use. Carbohydrate deficient transferrin + Mean corpuscular volume CDT + MCV 5 Carbohydrate-deficient transferrin (CDT) and Mean corpuscular volume (MCV) are two biomarkers commonly used to screen for heavy drinking. MCV is the average volume of blood cells, which increase in size after 4 to 8 weeks of excessive alcohol intake. CDT is transferrin, a glycoprotein produced in the liver that has become carbohydrate deficient. Heavy alcohol use prevents enzymes from properly regulating the carbohydrate side chains in transferrin, thus increasing the value of carbohydrate-deficient transferrin. Using the combined biomarkers of CDT and MCV, a patient must exceed the cut-off of both biomarkers to be screened positive. Gamma-Glutamyl Transferase GGT 68 Gamma-Glutamyl Transferase (GGT) is an enzyme that when elevated in serum is reflective of liver damage. Subsequently, clinical laboratory GGT tests are commonly used to detect and monitor excessive alcohol consumption. Elevated GGT levels typically correspond with continuous and chronic alcohol abuse as opposed to episodic heavy drinking. Gamma-Glutamyl Transferase + Mean corpuscular volume GGT + MCV 10 Gamma-Glutamyl Transferase (GGT) and Mean corpuscular volume (MCV) are two biomarkers commonly used in screening heavy alcohol intake. GGT is a type of enzyme that, when elevated in serum, is reflective of liver damage. MCV is the average volume of red blood cells, which increases after 4 to 8 weeks of excessive drinking. Used in combination, a patient must exceed the cut-offs for both GGT and MCV in order to be screened positive. Ethyl glucuronide EtG 5 Ethyl glucuronide (EtG) is a byproduct of the body’s metabolization of alcohol, and can be detected in the hair for up to 90 days. Compared to a blood or urine analysis, a hair analysis for EtG provides a much longer window of detection for heavy alcohol consumption. Mean corpuscular volume MCV 51 Mean corpuscular volume (MCV) is the average volume of red blood cells, measured by multiplying a volume of blood by the proportion of the blood that is cellular, and then dividing the product by the number of red blood cells within that sample. The size of red blood cells increase after 4 to 8 weeks of excessive alcohol intake, making MCV effective as an alcohol biomarker. MCV is not very sensitive as a standalone measure or specific in detecting alcohol relapse, as it is slow to return to a normal value. It is, however, an easy and affordable method of testing. Phosphatidylethanol PEth 8 Phosphatidylethanol (PEth), a commonly used alcohol biomarker, is an abnormal group of phospholipids that are formed in red blood cells only in the presence of alcohol. Clinical laboratory tests can identify the presence of PEth in blood, which is indicative of alcohol abuse. PEth testing is a popular detection tool for heavy alcohol consumption because it is considered a direct biomarker for ethanol and has 99% sensitivity. Note:*Some studies contributed more than one data point/were comprised of more than on study populations. References for studies, by scale/measure, are presented in Supplementary Table 2. Table 2. Pooled Summary Estimates Self-Reported Scale/Measure Scale Abbreviation Pooled Alpha ; 95%CI Pooled Kappa ; 95%CI Pooled Sensitivity ; 95%CI Pooled Specificity ; 95%CI Pooled PPV ; 95%CI Pooled NPV ; 95%CI Alcohol Dependence Scale ADS 0.897 0.800 - 0.993 ID - 0.908 0.822 - 0.955 0.794 0.671 - 0.879 ID - ID - Addiction Severity Index ASI 0.837 0.809 - 0.866 ID - ID - ID - ID - ID - Addiction Severity Index-Alcohol (alcohol sub-scale) ASI-A 0.773 0.732 - 0.814 ID - 0.833 0.670 - 0.924 0.792 0.670 - 0.877 ID - ID - Addiction Severity Index-Drugs (drugs sub-scale) ASI-D 0.684 0.627 - 0.742 ID - 0.839 0.753 - 0.899 0.854 0.766 - 0.913 ID - ID - The Alcohol, Smoking, and Substance Involvement Screening Test ASSIST 0.854 0.804 - 0.905 ID - 0.834 0.799 - 0.868 0.726 0.570 - 0.882 ID - ID - Alcohol Use Disorders Identification Test AUDIT 0.847 0.829 - 0.865 0.461 0.253 - 0.669 0.860 0.838 - 0.879 0.872 0.854 - 0.888 0.610 0.510 - 0.710 0.940 0.927 - 0.953 Alcohol Use Disorders Identification Test-3 AUDIT-3 NA - ID - 0.844 0.800 - 0.879 0.835 0.750 - 0.895 0.631 0.491 - 0.771 0.940 0.902 - 0.979 Alcohol Use Disorders Identification Test-C AUDIT-C 0.748 0.695 - 0.802 0.410 0.386 - 0.433 0.874 0.843 - 0.900 0.842 0.811 - 0.870 0.496 0.390 - 0.602 0.878 0.834 - 0.923 Brief Michigan Alcoholism Screening Test B-MAST ID - ID - 0.502 0.381 - 0.622 0.971 0.956 - 0.981 0.653 0.376 - 0.930 0.902 0.866 - 0.937 Cut down, Annoyed, Guilty, Eye-opener CAGE 0.698 0.650 - 0.747 0.574 0.337 - 0.811 0.705 0.664 - 0.742 0.898 0.882 - 0.913 0.513 0.446 - 0.581 0.907 0.881 - 0.932 Composite International Diagnostic Interview, original CIDI NA - 0.815 0.610 - 1.020 ID ID ID ID Composite International Diagnostic Interview,version 2.1 CIDI, version 2.1 NA ID 0.749 0.686 - 0.812 0.842 0.689 - 0.995 ID ID Composite International Diagnostic Interview, version 3 CIDI, version 3 NA ID 0.913 0.816 - 1.010 0.990 0.985 - 0.995 0.914 0.871 - 0.958 0.990 0.985 - 0.995 Car, Relax, Alone, Forget, Friends, Trouble CRAFFT 0.687 0.639 - 0.735 ID - 0.897 0.837 - 0.937 0.764 0.675 - 0.834 0.571 0.343 - 0.799 0.857 0.449 - 1.00 Drug Abuse Screen Test DAST 0.937 0.927 - 0.947 0.832 0.577 - 1.0 0.847 0.740 - 0.915 0.844 0.679 - 0.932 0.510 0.323 - 0.698 0.946 0.892 - 0.999 Drug Abuse Screen Test - 10 item DAST-10 0.785 0.678 - 0.892 ID - 0.902 0.748 - 0.966 0.81 8 0.716 - 0.889 0.803 0.695 - 0.910 0.864 0.813 - 0.914 Drug Use Disorders Identification Test DUDIT 0.922 0.895 - 0.950 ID - 0.932 0.887 - 0.960 0.789 0.672 - 0.872 0.606 0.342 - 0.869 0.915 0.822 - 1.00 Michigan Alcohol Screening Test MAST 0.822 0.780 - 0.863 0.693 0.578 - 0.808 0.705 0.583 - 0.804 0.853 0.774 - 0.908 0.507 0.302 - 0.713 0.878 0.816 - 0.940 Problem Oriented Screening Instrument for Teenagers POSIT 0.857 0.730 - 0.984 0.881 0.817 - 0.945 0.842 0.722 - 0.962 0.823 0.745 - 0.902 ID - ID - Self-Administered Alcoholism Screening Test SAAST 0.889 0.791 - 0.987 ID - 0.522 0.331 - 0.714 0.825 0.755 - 0.896 0.320 0.219 - 0.422 0.917 0.890 - 0.945 Semi-Structured Assessment for Drug Dependence and Alcoholism SSADDA ID - 0.837 0.767 - 0.907 ID - ID - ID - ID - Severity of Dependence SDS 0.855 0.780 - 0.931 ID - 0.830 0.759 - 0.901 0.837 0.782 - 0.892 0.897 0.856 - 0.937 0.826 0.761 - 0.891 Tolerance-Annoyance Cut Down Eye Opener TACE 0.495 0.466 - 0.524 ID - 0.827 0.737 - 0.918 0.722 0.651 - 0.793 0.349 0.245 - 0.453 0.867 0.622 - 1.0 Timeline Followback TLFB NA - 0.857 0.807 - 0.907 0.798 0.725 - 0.872 0.965 0.945 - 0.986 ID - ID - Tolerance, Worried, Eye-Opener, Amnesia, Cut down TWEAK 0.619 0.551 - 0.688 ID - 0.850 0.797 - 0.890 0.864 0.820 - 0.898 0.434 0.263 - 0.606 0.880 0.704 - 1.0 The Chemical Use, Abuse, and Dependence CUAD 0.962 0.940 - 0.983 ID - ID - ID - ID - ID - Biomarkers Abbreviation Pooled Alpha ; 95%CI Pooled Kappa ; 95%CI Pooled Sensitivity ; 95%CI Pooled Specificity ; 95%CI Pooled PPV ; 95%CI Pooled NPV ; 95%CI % Carbohydrate deficient transferrin %CDT NA NA - 0.565 0.471 - 0.654 0.913 0.884 - 0.936 0.580 0.377 - 0.783 0.850 0.782 - 0.918 Alanine transaminase ALT NA - NA - 0.316 0.239 - 0.403 0.882 0.830 - 0.920 0.372 0.183 - 0.560 0.632 0.417 - 0.846 Aspartate transaminase AST NA - NA - 0.476 0.400 - 0.552 0.865 0.814 - 0.903 0.420 0.273 - 0.567 0.693 0.554 - 0.833 Aspartate transaminase, Alanine transaminase ratio AST/ALT NA - NA - 0.340 0.220 - 0.460 0.728 0.519 - 0.937 ID - ID - Blood alcohol concentration BAC NA - NA - 0.638 0.589 - 0.686 0.795 0.719 - 0.871 0.596 0.145 - 1.0 0.687 0.518 - 0.856 Carbohydrate deficient transferrin CDT NA - NA - 0.585 0.425 - 0.728 0.959 0.932 - 0.976 0.853 0.740 - 0.966 0.790 0.727 - 0.854 CDTech CDTech NA - NA - 0.537 0.450 - 0.622 0.895 0.876 - 0.911 0.518 0.367 - 0.669 0.795 0.614 - 0.975 Carbohydrate deficient transferrin + Mean corpuscular volume CDT + MCV NA - NA - 0.742 0.599 - 0.884 0.928 0.908 - 0.947 0.741 0.509 - 0.974 0.917 0.826 - 1.00 Gamma-Glutamyl Transferase GGT NA - NA - 0.571 0.502 - 0.638 0.827 0.782 - 0.865 0.430 0.351 - 0.509 0.819 0.701 - 0.937 Gamma-Glutamyl Transferase + Mean corpuscular volume GGT + MCV NA - NA - 0.641 0.377 - 0.840 0.870 0.759 - 0.935 0.470 0.275 - 0.664 0.880 0.813 - 0.948 Ethyl glucuronide EtG NA - NA - 0.825 0.606 - 0.936 0.953 0.896 - 0.979 0.614 0.389 - 0.840 0.857 0.779 - 0.935 Mean corpuscular volume MCV NA - NA - 0.390 0.330 - 0.453 0.905 0.878 - 0.927 0.476 0.362 - 0.589 0.794 0.728 - 0.860 Phosphatidylethanol PEth NA - NA - 0.871 0.787 - 0.956 0.939 0.905 - 0.973 ID - ID - Note: For biomarker measures, alpha is not calculated, therefore this estimate is not applicable (NA). Measures with less than 2 studies have ID for meta-analyses (ID). Table 3. Qualitative Interpretation of Pooled Estimates Self-Reported Scale/Measure name Scale Abbreviation Alpha Kappa Sensitivity Specificity PPV NPV Alcohol Dependence Scale ADS good ID excellent moderate ID ID Addiction Severity Index ASI moderate ID ID ID ID ID Addiction Severity Index-Alcohol (alcohol sub-scale) ASI-A fair ID good moderate ID ID Addiction Severity Index-Drugs (drugs sub-scale) ASI-D unsatisfactory ID good good ID ID The Alcohol, Smoking, and Substance Involvement Screening Test ASSIST good ID good moderate ID ID Alcohol Use Disorders Identification Test AUDIT moderate unsatisfactory good good moderate excellent Alcohol Use Disorders Identification Test-3 AUDIT-3 N/A ID good good moderate excellent Alcohol Use Disorders Identification Test-C AUDIT-C fair unsatisfactory good good low good Brief Michigan Alcoholism Screening Test B-MAST N/A ID low excellent moderate excellent Cut down, Annoyed, Guilty, Eye-opener CAGE unsatisfactory unsatisfactory moderate good low excellent Composite International Diagnostic Interview, original CIDI N/A moderate ID ID ID ID Composite International Diagnostic Interview, version 2.1 CIDI, version 2.1 N/A ID moderate good ID ID Composite International Diagnostic Interview, version 3l CIDI, version 3 N/A ID excellent excellent excellent excellent Car, Relax, Alone, Forget, Friends, Trouble CRAFFT unsatisfactory ID good moderate low good Drug Abuse Screen Test DAST excellent moderate good good low excellent Drug Abuse Screen Test - 10 item DAST-10 fair ID excellent good good good Drug Use Disorders Identification Test DUDIT excellent ID excellent moderate moderate excellent Michigan Alcohol Screening Test MAST moderate unsatisfactory moderate good low good Problem Oriented Screening Instrument for Teenagers POSIT good ID good good ID ID Self-Administered Alcoholism Screening Test SAAST good ID low good low excellent Semi-Structured Assessment for Drug Dependence and Alcoholism SSADDA unsatisfactory moderate ID ID ID ID Severity of Dependence SDS good ID good good good good Tolerance-Annoyance Cut Down Eye Opener TACE unsatisfactory ID good moderate low good Timeline Followback TLFB N/A good moderate excellent ID ID Tolerance, Worried, Eye-Opener, Amnesia, Cut down TWEAK unsatisfactory ID good good low good The Chemical Use, Abuse, and Dependence CUAD excellent ID ID ID ID ID Biomarker name Scale Abbreviation Alpha Kappa Sensitivity Specificity PPV NPV -% Carbohydrate deficient transferrin %CDT N/A N/A low excellent low good -Alanine transaminase ALT N/A N/A low good low moderate -Aspartate transaminase AST N/A N/A low good low moderate -Aspartate transaminase, Alanine transaminase ratio AST/ALT N/A N/A low moderate N/A N/A -Blood alcohol concentration BAC N/A N/A moderate moderate low moderate -Carbohydrate deficient transferrin CDT N/A N/A low excellent good moderate -CDTech CDTech N/A N/A low good low moderate -Carbohydrate deficient transferrin + Mean corpuscular volume CDT + MCV N/A N/A moderate excellent moderate excellent -Gamma-Glutamyl Transferase GGT N/A N/A low good low good -Gamma-Glutamyl Transferase + Mean corpuscular volume GGT + MCV N/A N/A moderate good low good -Ethyl glucuronide EtG N/A N/A good excellent moderate good -Mean corpuscular volume MCV N/A N/A low excellent low moderate -Phosphatidylethanol PEth N/A N/A good excellent ID ID Notes: Pooled summary estimates for alpha and kappa were classified as “excellent” for estimates that were >0.89, “good” for estimates that were between 0.85-0.89, “moderate” for estimates that were between 0.80-0.84, “fair” for estimates that were between 0.75-0.79, or “unsatisfactory” for estimates below 0.75, consistent with other studies (24, 39). Pooled summary estimates for sensitivity, specificity, positive predictive value and negative predictive value were classified as “low” for estimates that were 0.89 (24, 40). N/A=not applicable. ID=Insufficient Data. Supplementary Files SupplementaryTablesBMCHPTNMetaAnalysis.docx HPTNMetaAnalysisSearchTerms.docx PRISMA2009checklistBMCMRM.doc Cite Share Download PDF Status: Published Journal Publication published 07 May, 2020 Read the published version in BMC Medical Research Methodology → Version 2 posted Editorial decision: Accept 30 Mar, 2020 Editor assigned by journal 26 Mar, 2020 Submission checks completed at journal 25 Mar, 2020 Editor invited by journal 25 Mar, 2020 You are reading this latest preprint version Show more versions Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. 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BMC - HPTN Meta-Analysis.docx"},{"id":807359,"identity":"e7a36653-5bc9-4db1-8b89-df9ea297071c","added_by":"auto","created_at":"2020-03-31 16:53:09","extension":"docx","order_by":0,"title":"","display":"","copyAsset":false,"role":"supplement","size":16798,"visible":true,"origin":"","legend":"","description":"","filename":"HPTNMetaAnalysisSearchTerms.docx","url":"https://assets-eu.researchsquare.com/files/rs-3726/v2/HPTN Meta-Analysis Search Terms.docx"},{"id":807357,"identity":"8312090f-337f-4694-9c56-1ba8f07bc8c0","added_by":"auto","created_at":"2020-03-31 16:53:09","extension":"doc","order_by":0,"title":"","display":"","copyAsset":false,"role":"supplement","size":64000,"visible":true,"origin":"","legend":"","description":"","filename":"PRISMA2009checklistBMCMRM.doc","url":"https://assets-eu.researchsquare.com/files/rs-3726/v2/PRISMA 2009 checklist_BMCMRM.doc"}],"financialInterests":"","formattedTitle":"Psychometric Properties of Measures of substance use: A systematic review and meta-analysis of reliability, validity and diagnostic test accuracy","fulltext":[{"header":"Background","content":"\u003cp\u003eSubstance use, including illicit drug use and alcohol, is prevalent worldwide with about 5% of adults using illicit substances (1) and 40% of adults consuming alcohol, in the past year (2). Moreover, the number of people with drug use disorders was estimated at 62 million, while the number of individuals with alcohol use disorders was estimated at 100.4 million in 2016 (3). Substance use disorders are associated with substantial morbidity and mortality globally. Illicit drug use disorders were attributed to 20 million disability-adjusted life years (DALYs) lost (4) while alcohol use disorders were attributed to 85 million DALYs lost in 2012 (5). \u0026nbsp;Specific classes of substances also play an important role in HIV risk, including needle sharing, and sexual risk behaviors, and have been linked to HIV incidence (6-8) (6, 9-11)(12-15). Among people living with HIV (PLWH), substance use disorders may lead to less optimal HIV care outcomes because of their associations with lower likelihood of being linked to HIV care, retained in care, receiving antiretroviral therapy (ART), having high ART adherence and lower likelihood of\u0026nbsp; having an undetectable HIV viral load (9, 10, 16-18).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eGiven the role of substance use in the global burden of disease and the overlap between use of specific substances and HIV, it is important for clinicians and researchers to have tools with high reliability, validity, and diagnostic accuracy (19). Yet too few use measures with known psychometric properties when assessing substance use. \u0026nbsp;Currently, there are a myriad of standardized questionnaires used to screen substance use and misuse that require patients to self-report patterns of use and substance-related problems. Examples such as the Alcohol Use Disorders Identification Test and the Drug Use Disorders Identification test (20, 21) provide scores that correspond with severity of substance use and related problems. It remains that there are no biological measures that define a substance use disorder; existing biological measures are considered to be indirect correlates of use disorders (22). Examples include alcohol biomarkers like Carbohydrate-Deficient Transferrin (CDT), and Gamma Glutamyl Transferase (GGT), which are used to screen for alcohol dependence and heavy drinking, respectively (22). There is a great need to evaluate the psychometric performance of these measures and markers across studies in settings of HIV to elucidate the overall validity, reliability, and diagnostic accuracy.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eOne approach to informing the use of psychometric measures in research and clinical care is pooling the psychometric characteristics of measures across studies involves the use of meta-analytic techniques, which generates summary estimates of the validity, reliability, and diagnostic accuracy of different questionnaires (23-27). However, synthesis of psychometric properties of substance use measures to identify patterns of use and substance use disorders remains limited, with few exceptions (21, 28, 29). One meta-analysis focused on the accuracy of self-reported assessments to diagnose alcohol and cannabis use disorders found that instruments had a pooled sensitivity of 0.88 and a pooled specificity of 0.90 among emergency room department pediatric patients (28). Another meta-analysis observed that studies with single questions to identify alcohol use disorders in primary care had pooled sensitivity of 0.54 and pooled specificity of 0.87 while two-question measures had a pooled sensitivity of 0.87 and a pooled specificity of 0.80 (29). More commonly, however, reviews on substance use measures present psychometric data in a descriptive fashion (19, 30, 31). Therefore, more rigorous efforts to systematically pool the psychometric properties of substance use measures are needed to establish the overall performance and accuracy of these tools and point toward their utility in future research.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eTo address these gaps, we conducted a systematic review and meta-analysis of literature to identify studies that have reported validity and reliability of substance use measures and pooled these measure using meta-analytic techniques. For the purposes of this review, we targeted our search for measures of substance classes previously associated with HIV risk. Specifically, we focused our review on measures for the following: alcohol, methamphetamine and amphetamine, cocaine, heroin, and ecstasy, regardless of whether the study was conducted among a population at high risk for HIV. Additionally, we included measures that evaluated substance use in general (i.e., measures that did not differentiate between classes of substances) as long as those measures were inclusive of our targeted substance classes. This study\u0026rsquo;s review questions are: What are the summary reliability, validity--as measured by alpha and kappa coefficients\u0026mdash;and diagnostic accuracy\u0026mdash;as measured by sensitivity, specificity, positive predictive value, and negative predictive value\u0026mdash;of various substance and alcohol measures to screen for use and use disorders?\u0026nbsp;\u003c/p\u003e"},{"header":"Methods","content":"\u003cp\u003e\u003cstrong\u003eSearch strategy:\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eWe conducted a systematic review of studies published prior to June 2016 on substance use measures indexed in electronic databases including PubMed, PsycINFO, and EMBASE. We developed Boolean search terms to capture substance use measures that have been previously associated with HIV risk, in consultation with the reference librarian from the University of California San Francisco with a master\u0026rsquo;s degree in library and information science (MLIS). The following substance classes were included: alcohol, methamphetamine and amphetamine, cocaine, heroin, and 3,4-methylenedioxy-methamphetamine (MDMA; \u0026ldquo;ecstasy\u0026rdquo;). Because the focus of this study was to pool psychometric properties of measures, we also included search terms related to validity, reliability, and diagnostic accuracy (i.e., alpha, kappa, sensitivity, specificity, positive predictive value, negative predictive value). Search terms included MeSH headings related to our research question, general terms related to substance use and psychometric properties or interest, as well as specific terms referencing the names of well-known substance use measures. The search terms used are provided in the appendix. This review was registered in Prospero, the International prospective register of systematic reviews (study number: CRD42017058813).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003ePrimary Outcomes:\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eWe aimed to estimate the pooled summary estimates for the following psychometric outcomes: Cronbach\u0026rsquo;s alpha, kappa, sensitivity, specificity, positive predictive value, and negative predictive value. We recognize that there are a number of measure characteristics that relate to validity (32). However, to focus our review and facilitate the feasibility of completing this study, we have decided to restrict the scope of our validity measures to Cronbach\u0026rsquo;s alpha. Descriptions for these outcomes are provided below:\u003c/p\u003e\n\u003ctable style=\"border-collapse:collapse;border:none;\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 103.25pt;border: 1pt solid windowtext;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;line-height:200%;\"\u003e\u003cstrong\u003ePsychometric Outcome\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 400.5pt;border-top: 1pt solid windowtext;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-image: initial;border-left: none;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;line-height:200%;\"\u003e\u003cstrong\u003eDescription\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 103.25pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;line-height:200%;\"\u003eCronbach’s alpha\u003c/p\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;line-height:200%;\"\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 400.5pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;line-height:200%;\"\u003emeasure of internal consistency, that is, how closely correlated a set of scale items are, as a group. \u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 103.25pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;line-height:200%;\"\u003eKappa\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 400.5pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;line-height:200%;\"\u003emeasure of inter-rater agreement or inter-rater reliability for qualitative (categorical) items which takes into account the possibility of the agreement occurring by chance.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 103.25pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;line-height:200%;\"\u003eSensitivity\u003c/p\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;line-height:200%;\"\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 400.5pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;line-height:200%;\"\u003emeasure of a test/scales’ ability to correctly detect patients who do truly have the condition (i.e., proportion of people who screen positive for substance use disorders according to the scale, among those who truly have substance use disorders based on an established standard (“gold standard”) such as meeting diagnostic criteria for a disorder).\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 103.25pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;line-height:200%;\"\u003eSpecificity\u003c/p\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;line-height:200%;\"\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 400.5pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;line-height:200%;\"\u003emeasure of the test/scales’ ability to correctly detect patients without a condition (i.e., proportion of people who screen negative for substance use disorders according to the scale, among those who truly do not have substance use disorders based on an established standard such as meeting diagnostic criteria for a disorder).\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 103.25pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;line-height:200%;\"\u003ePositive predictive value (PPV)\u003c/p\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;line-height:200%;\"\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 400.5pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;line-height:200%;\"\u003ethe probability that persons \u0026nbsp;with a positive screening result actually has the disorder. (i.e., proportion of people who meet diagnostic criteria for a substance use disorder among those who screened positive for the disorder on a scale).\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 103.25pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;line-height:200%;\"\u003eNegative predictive value (NPV)\u003c/p\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;line-height:200%;\"\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 400.5pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;line-height:200%;\"\u003ethe probability that people with a negative screening test actually do not have the disease. (i.e., proportion of people who meet diagnostic criteria for a substance use disorder among those who screened negative for a substance use disorder in a scale ).\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;line-height:200%;\"\u003e\u0026nbsp;\u003c/p\u003e\u003cbr\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003eEligibility Criteria:\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eWe searched for relevant publications that met all of the following inclusion criteria: 1) studies that reported one or more of the psychometric outcomes of interest; 2) studies that examined on one or more substance use measures related to our substance classes of interest (i.e., alcohol, methamphetamine and amphetamine, cocaine,\u0026nbsp; heroin, and ecstasy) or for substance use in general (i.e., some measures do not differentiate between multiple substances or assess classes of substances all together); 3) publication written in English (note: studies that administered measures that were not in English were eligible as long as the publication was written in English)\u0026nbsp;\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eWe excluded publications using the following exclusion criteria: 1) reporting insufficient information on reliability, validity and diagnostic accuracy for substance use measures/assessments (i.e., no numeric information on our psychometric outcomes, sample size); 2) articles that provide psychometric data for a measure/assessment that is not related to substance use (e.g., a study on internal consistency data on a depression scale among substance users); 3) articles and/or secondary data analyses that report reliability and validity data from a primary outcome paper that was already included in the review; 4) reviews, commentaries, case report studies and other publications with insufficient reporting of data; 5) substance use measures/assessments that focus on aspects other than actual substance consumption, dependence or substance use disorder (e.g., a study reporting validity of a self-efficacy scale for resisting substance use; a study that examines the underlying mechanisms of substance use among those who already have a substance use disorder); and 6. studies with psychometric properties that focus on substance classes outside the scope of our review (e.g. marijuana or tobacco).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eScreening procedures:\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAll citations (including their titles and abstracts) captured by the search strategy were imported into Covidence.org (Melbourne Victoria), which allowed research team members to independently review and screen citations using a centralized, online database. Each title/abstract was screened by two members of a team comprising master-, doctoral-, and post-doctoral-level researchers trained in the study protocol (co-authors PP, DH, RC, DS, CM, PM, and FC) and citations that were coded as eligible by both reviewers were moved to the full-text review phase. The same process was then repeated for full-text articles. In the event of discrepancies between reviewers in both the title and abstract phase and the full-text phase, a third team member (GMS) reviewed the relevant documents and helped reconcile the differences. Articles that were deemed eligible in the full-text review stage were included in the data extraction phase described below.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eData extraction:\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eTeam members extracted data on the psychometric properties, scale and study characteristics, sample size, study sample characteristics/co-factors of interest (country where study was conducted, number of sites, language that the scale was administered, gender of participants included), cut-offs used, comparison measure/gold-standard used, and other information relevant to study, including information on study quality (33). Some papers reported multiple data points for psychometric outcomes from different study populations (e.g., disaggregated data by sex or different research sites). These data points were extracted as separate records only if the paper did not provide a single overall measure for the psychometric outcomes for the entire study sample, consistent with other analyses (24).\u0026nbsp;\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAssessment of bias risk:\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eFor studies reporting diagnostic measures (e.g., sensitivity and specificity), reviewers rated study quality using the Revised Tool for the Quality Assessment of Diagnostic Accuracy Studies, QUADAS-2, guidelines (33), which includes quality rating questions on the study\u0026rsquo;s patient selection, index test, reference standard, and flow and timing. \u0026nbsp;For studies that did not include diagnostic accuracy measures, only relevant domains of QUADAS-2 were assessed, as appropriate (i.e., rating regarding the reference standard was not conducted). All extracted data were entered into an electronic questionnaire programmed in Qualtrics, and checked by another researcher (conducted by the same co-authors who screened citations, as well as co-author BK) to verify accuracy. \u0026nbsp;\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eData analyses: \u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eWe calculated separate pooled summary estimates for each of the 37 substance use measures and also fitted separate models for each of the six psychometric outcomes for validity, reliability, and accuracy. For alpha, kappa, PPV and NPV, we pooled data across studies using DerSimonian-Laird random effects models, implemented in STATA version 13 (Colleges Station, TX)(34). Random effects meta-analyses models, as opposed to fixed-effects models, are preferred for pooling data from diagnostic accuracy tests since heterogeneity is presumed to exists across these studies (35). Random effects models, which are considered the default models used in meta-analyses for diagnostic accuracy tests, synthesize the psychometric outcomes from separate studies into a weighted average effect size (pooled summary estimate), using inverse variance weighting, based on sample size, while taking into account the extent of the variability of the effect sizes observed in separate studies (35). Additionally, for sensitivity and specificity, we used hierarchical logistic regression models, implemented using the metandi command in STATA, to account for the correlation between the two measures (i.e., trade-off between sensitivity and specificity)(36-38). Since metandi requires a minimum of four observations to conduct a meta-analysis, we pooled measures with less than four records for sensitivity and specificity outcomes using the random effects models described for other outcomes, and noted this alternate approach in the results, as appropriate.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eClassification and evaluation of pooled estimates\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eQualitatively, pooled summary estimates for alpha and kappa were classified as \u0026ldquo;excellent\u0026rdquo; for estimates that were \u0026gt;0.89, \u0026ldquo;good\u0026rdquo; for estimates that were between 0.85-0.89, \u0026ldquo;moderate\u0026rdquo; for estimates that were between 0.80-0.84, \u0026ldquo;fair\u0026rdquo; for estimates that were between 0.75-0.79, or \u0026ldquo;unsatisfactory\u0026rdquo; for estimates below 0.75, consistent with other studies (24, 39).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003ePooled summary estimates for sensitivity,\u0026nbsp; specificity, positive predictive value and negative predictive value were classified as \u0026ldquo;excellent\u0026rdquo; for estimates that were \u0026gt;0.89,\u0026nbsp; \u0026ldquo;good\u0026rdquo; for estimates that were between 0.8-0.89,\u0026nbsp; \u0026ldquo;moderate\u0026rdquo; for estimates that were between 0.6-0.79, and\u0026nbsp; \u0026ldquo;low\u0026rdquo; for estimates that were \u0026nbsp;\u0026lt;0.6 (24, 40).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eFor each pooled psychometric summary estimate, we calculated I\u003csup\u003e2\u003c/sup\u003e statistics, which represents the percentage of total variation across studies, to assess heterogeneity. We considered pooled estimates as having low heterogeneity if I\u003csup\u003e2 \u003c/sup\u003e25%, moderate heterogeneity if I\u003csup\u003e2 \u003c/sup\u003e50%, and high heterogeneity if I\u003csup\u003e2 \u003c/sup\u003e75% (41). We did not use standard meta-analyses tests for publication bias given the limitations of these tests for diagnostic test accuracy studies and due to the characteristics of our psychometric outcomes (e.g., truncated measures cannot fall below zero) (42). As indicated in the Cochrane Handbook for Systematic Reviews of Diagnostic Test Accuracy, using these tests are inappropriate because they will likely lead to a high false-positive rate for publication bias (35).\u003c/p\u003e"},{"header":"Results","content":"\u003cp\u003e\u003cstrong\u003e\u003cem\u003eScreening and study inclusion:\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eStudy screening and inclusion is summarized in \u003cstrong\u003eFigure 1\u003c/strong\u003e. In brief, in the identification stage, we initially identified 7,555 references in the initial search, of which, 208 were excluded for being duplicates. In the title and abstract review phase, reviewers excluded 5,854 studies that were deemed ineligible. Full-text reviews were conducted for 1,493 articles that were deemed eligible from title and abstract review. Of the full-text reviewed articles, 1105 studies were excluded for not meeting eligibility criteria. The most common reasons for exclusion were: scales or measures that were outside the scope of review (n=386), lack of psychometric data on scales of interests (n=140), lab or methods papers that were outside the scope of the review (n=130), non-English language publications (n=110), duplicate study (n=98), psychometric outcomes that were outside the scope of review (n=79). In total, there were 387 unique studies included in the data extraction phase containing sufficient data on the outcomes for 37 scales \u003cstrong\u003e(Table 1)\u003c/strong\u003e.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003eStudy Characteristics:\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 2 \u003c/strong\u003epresents characteristics of the studies included in this meta-analysis. As mentioned, studies published in English were included in this review, regardless of the language in which the scales were administered. Among the 387 studies included, the most those common language in which the scale/measure was conducted in was English (63%), followed by Spanish (9%), French (5%), Portuguese (3%), and Chinese (2%). A large proportion of studies were conducted in the United States (40%). The median sample size was 286 [Range=9-50,049]. The vast majority of studies (83%) included men and women (n=323). Additionally, 11% (n=42) of the studies included study sample comprised only of men, while 5% (n=20) studies included study samples comprised only of women. Most studies were published after 1999 (66%), with studies published between 2000-2009 accounting for 38% (n=148) of the studies meta-analyzed, and studies published between 2010-2017 accounting for 28% (n=110). Most studies involved a single study site 61%, while 39% were multi-site studies. Additionally, 72% of the studies involved convenience samples, 20% included random or probability based samples, and 7% had other or unclear sampling strategies. \u0026nbsp;\u0026nbsp;\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003eAssessment of bias in Study Quality:\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe risk of bias in the four QUADAS 2 domains for each study included in this meta-analysis is presented in \u003cstrong\u003eSupplementary Table 1. \u003c/strong\u003eThe distribution of the QUADAS 2 domains for the entire study is summarized in \u003cstrong\u003eFigure 3\u003c/strong\u003e. Of the studies included, 58% of studies had a low risk of bias with respect to the patient population; 57% has low risk of bias in the index test domain, 48% has low risk of bias in the reference standard test domain, and 72% had low risk for the flow and timing. Overall, only 16% of studies had low risk of bias across all four of these QUADAS 2 domains.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003ePooled Summary Estimates: Overall findings:\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe pooled summary estimates of psychometric properties of substance use measures (which are described in \u003cstrong\u003eTable 1\u003c/strong\u003e) are quantitatively and qualitatively summarized in \u003cstrong\u003eTable 2 and Table3, respectively\u003c/strong\u003e. Overall, 65% of pooled estimates for alpha were in the range of fair-to-excellent; 44% of estimates for kappa were in the range of fair-to-excellent. In addition, 69%, 97%, 37% and 96% of pooled estimates for sensitivity, specificity, positive predictive value, and negative predictive value, respectively, were in the range of moderate-to-excellent \u003cstrong\u003e(Figure 2)\u003c/strong\u003e.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eSelf-reported measures that had all pooled estimates that were fair/moderate or better include the following: Alcohol Dependence Scale; Addiction Severity Index (ASI); ASI subscale for Alcohol; ASSIST; the Composite International Diagnostic Interview, including the original version, as well as version 2.1 and version 3; Drug Abuse Screen Test - 10 item scale; Drug Use Disorders Identification Test; Problem Oriented Screening Instrument for Teenagers; Severity of Dependence scale; Timeline Followback; and Chemical Use, Abuse, and Dependence. Biomarkers that had all pooled estimates that were fair/moderate or better include the following: Ethyl glucuronide; Phosphatidylethanol test; and the combined used of Carbohydrate deficient transferrin and Mean corpuscular volume. In general, we also observed high heterogeneity between studies for most pooled estimates.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003ePooled Summary Estimates, by Substance Use Measure:\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe pooled estimates and 95% confidence intervals for alpha, kappa, sensitivity, specificity, positive predictive value, and negative predictive value are shown in \u003cstrong\u003eTable 2,\u003c/strong\u003e respectively. Below we summarize the results of the pooled summary estimates alphabetically for each of the 37 substance use measures, grouping self-reported measures and biomarkers separately. The list of references for the studies meta-analyzed for each scale/measure is presented in \u003cstrong\u003eSupplementary Table 2\u003c/strong\u003e.\u003cstrong\u003e\u003cem\u003e\u0026nbsp;\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cu\u003eSelf-Reported Measures:\u003c/u\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAlcohol Dependence Scale (ADS)\u003c/strong\u003e\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe pooled alpha estimate for ADS (3 data points) was good: 0.90 (95%CI=0.80-0.99) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e98.9%). The pooled sensitivity estimate for ADS (2 data points) was excellent: 0.95 (95%CI=0.90-1.00) and there was low heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e0%). The pooled specificity estimate (2 data points) was moderate: 0.64 (95%CI=0.52-0.77) and there was moderate heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e60.1%). There was insufficient data to calculate the pooled PPV and NPV estimates for ADS.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAddiction Severity Index (ASI) \u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe pooled alpha estimate for ASI (3 data points) was good: 0.84 (95%CI=0.81-0.87) and there was moderate heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e38.5%). There was insufficient data to calculate pooled kappa, sensitivity, specificity, PPV, and NPV estimates.\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAddiction Severity Index-Alcohol (alcohol sub-scale; ASI-A)\u003c/strong\u003e\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe pooled alpha estimate (18 data points) was moderate: 0.77 (95%CI=0.73-0.81) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e94.3%). The pooled sensitivity estimate for ASI-A (6 data points) was good: 0.83 (95%CI=0.67-0.92) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e87.6%). The pooled specificity estimate for ASI-A (6 data points) was moderate: 0.79 (95%CI=0.67-0.88) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e91.2%). There was insufficient data to calculate pooled kappa, PPV and NPV estimates for ASI-A.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAddiction Severity Index-Drugs (drugs sub-scale; ASI-D) \u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe pooled alpha estimate for ASI-D (16 data points) was unsatisfactory: 0.68 (95%CI=0.63-0.74) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e95.6%). The pooled sensitivity estimate (5 data points) was good: 0.86 (95%CI=0.83-0.89) and there was moderate heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e62.5%). The pooled specificity estimate (5 data points) was good: 0.85 (95%CI=0.77-0.91) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e86%). There was insufficient data to calculate the pooled kappa, PPV and NPV estimates.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eThe Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST)\u003c/strong\u003e\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe pooled alpha estimate (7 data points) was good: 0.85 (95%CI=0.80-0.91) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e94%). The pooled sensitivity estimate (2 data points) was good: 0.83 (95%CI=0.80-0.87) and there was low heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e0%). The pooled specificity estimate (2 data points) was moderate: 0.73 (95%CI=0.57-0.88) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e91%). There was insufficient data to calculate the pooled estimate for kappa, PPV, and NPV.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAlcohol Use Disorders Identification Test (AUDIT)\u003c/strong\u003e\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe pooled alpha estimate for AUDIT (80 data points) was moderate: 0.85 (95%CI=0.83-0.87) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e98%). The pooled kappa estimate for AUDIT (4 data points) was unsatisfactory: 0.46 (95%CI=0.25-0.67) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e0.99). The pooled sensitivity estimate for AUDIT (135 data points) was good: 0.86 (95%CI=0.84-0.88) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e97%). The pooled specificity estimate for AUDIT (135 data points) was good: 0.87 (95%CI=0.85-0.89) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e99%). The pooled PPV estimate for AUDIT (65 data points) was moderate: 0.61 (95%CI=0.51-0.71) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e99%). The pooled NPV estimate for AUDIT (54 data points) was excellent: 0.94 (95%CI=0.93-0.95) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e96%)\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAlcohol Use Disorders Identification Test-3 (AUDIT-3)\u003c/strong\u003e\u0026nbsp;\u0026nbsp;\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eAlpha cannot be calculated for AUDIT-3 because it is a single-item measure. There was insufficient data to calculate the pooled estimate for kappa. The pooled sensitivity estimate for AUDIT-3 (22 data points) was good: 0.84 (95%CI=0.80-0.88) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e90%). The pooled specificity estimate for AUDIT-3 (22 data points) was good: 0.84 (95%CI=0.75-0.90) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e99%). The pooled PPV estimate for AUDIT-3 (9 data points) was moderate: 0.63 (95%CI=0.49-0.77) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e99%). The pooled NPV estimate (7 data points) was excellent: 0.94 (95%CI=0.90-0.98) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e95%).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAlcohol Use Disorders Identification Test-C (AUDIT-C)\u0026nbsp;\u0026nbsp; \u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe pooled alpha estimate for AUDIT-C (20 data points) was fair: 0.75 (95%CI=0.70-0.80) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e99%). The pooled kappa estimate for AUDIT-C (2 data points) was unsatisfactory: 0.41 (95%CI=0.39-0.43) and there was low heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e0%). The pooled sensitivity estimate for AUDIT-C (45 data points) was good: 0.87 (95%CI=0.84-0.90) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e99%). The pooled specificity estimate for AUDIT-C (45 data points) was good: 0.84 (95%CI=0.81-0.87) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e99%). The pooled PPV estimate for AUDIT-C (22 data points) was low: 0.50 (95%CI=0.39 -0.60) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e99%). The pooled NPV estimate for AUDIT-C (19 data points) was good: 0.88 (95%CI=0.83-0.92) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e99%).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eBrief Michigan Alcoholism Screening Test (B-MAST)\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp; \u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThere was insufficient data to calculate the pooled estimate for B-MAST\u0026rsquo;s alpha and kappa. The pooled sensitivity estimate for B-MAST (21 data points) was low: 0.50 (95%CI=0.38-0.62) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e99%). The pooled specificity estimate for B-MAST (21 data points) was excellent: 0.97 (95%CI=0.96-0.98) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e97%). The pooled PPV estimate for B-MAST (3 data points) was moderate: 0.65 (95%CI=0.38-0.93) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e99%). The pooled NPV estimate for B-MAST (2 data points) was excellent: 0.90 (95%CI=0.87-0.94) and there was moderate heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e33%).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCut down, Annoyed, Guilty, Eye-opener (CAGE) \u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe pooled alpha estimate for CAGE (22 data points) was unsatisfactory: 0.70 (95%CI=0.65-0.75) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e98%). The pooled kappa estimate for CAGE (3 data points) was unsatisfactory: 0.57 (95%CI=0.34-0.81) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e0.97). The pooled sensitivity estimate for CAGE (139 data points) was moderate: 0.70 (95%CI=0.66-0.74) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e98%). The pooled specificity estimate for CAGE (139 data points) was good: 0.90 (95%CI=0.88-0.91) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e99%). The pooled PPV estimate for CAGE (61 data points) was low: 0.51 (95%CI=0.45-0.58) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e99%). The pooled NPV estimate for CAGE (39 data points) was excellent: 0.91 (95%CI=0.88-0.93) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e97%).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eComposite International Diagnostic Interview (CIDI), original version, version 2.1 and version 3\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAlpha coefficients are not calculated for CIDI. The pooled kappa estimate for the original version of CIDI (2 data points) was moderate: 0.82 (95%CI=0.61-1.02) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e0.78). There was insufficient data to calculate the pooled estimate for sensitivity, specificity, PPV, and NPV for the original CIDI.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe pooled sensitivity estimate for CIDI version 2.1 (3 data points) was fair: 0.75 (95%CI=0.69-0.81) and there was low heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e0.0%). The pooled specificity estimate for CIDI version 2.1 (3 data points) was good: 0.84 \u0026nbsp;(95%CI=0.69-1.00) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e98.7%). There was insufficient data to calculate the pooled estimate for kappa, PPV, and NPV for CIDI version 2.1.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe pooled sensitivity estimate for CIDI version 3 (4 data points) was excellent: 0.91 (95%CI=0.82-1.00) and there was moderate heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e48.1%). The pooled specificity estimate for CIDI version 3 (4 data points) was excellent: 0.99 (95%CI=0.98-1.00) and there was low heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e0.0%). The pooled PPV estimate for CIDI version 3 (4 data points) was excellent: 0.91 (95%CI=0.87-0.96) and there was low heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e0.0%). The pooled NPV estimate for CIDI version 3 (4 data points) was excellent: 0.99 (95%CI=0.98-1.00) and there was low heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e0.0%). There was insufficient data to calculate the pooled estimate for kappa CIDI version 3.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCar, Relax, Alone, Forget, Friends, Trouble (CRAFFT)\u003c/strong\u003e\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe pooled alpha estimate for CRAFFT (6 data points) was unsatisfactory: 0.69 (95%CI=0.64-0.74) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e83%). There was insufficient data to calculate the pooled estimate for kappa for CRAFFT. The pooled sensitivity estimate for CRAFFT (10 data points) was good: 0.90 (95%CI=0.84-0.94) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e97%). The pooled specificity estimate for CRAFFT (10 data points) was moderate: 0.76 (95%CI=0.68-0.83) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e97%). The pooled PPV estimate for CRAFFT (8 data points) was low: 0.57 (95%CI=0.34-0.80) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e99%). The pooled NPV estimate for CRAFFT (8 data points) was good: 0.86 (95%CI=0.45-1.00) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e99%)\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eDrug Abuse Screen Test (DAST) \u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe pooled alpha estimate for DAST (6 data points) was excellent: 0.94 (95%CI=0.93-0.95) and there was low heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e0%). The pooled kappa estimate for DAST (2 data points) was moderate: 0.83 (95%CI=0.58-1.00) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e0.98). The pooled sensitivity estimate for DAST (7 data points) was good: 0.85 (95%CI=0.74-0.92) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e89%). The pooled specificity estimate for DAST (7 data points) was good: 0.84 (95%CI=0.68-0.93) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e97%). The pooled PPV estimate for DAST (5 data points) was low: 0.51 (95%CI=0.32-0.70) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e98%). The pooled NPV estimate for DAST (4 data points) was excellent: 0.95 (95%CI=0.89-1.00) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e81%).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eDrug Abuse Screen Test - 10-item version (DAST-10)\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe pooled alpha estimate DAST-10 (6 data points) was fair: 0.79 (95%CI=0.68-0.89) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e98%). There was insufficient data to calculate the pooled estimate for kappa for DAST-10. The pooled sensitivity estimate for DAST-10 (6 data points) was excellent: 0.90 (95%CI=0.75-0.97) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e95%). The pooled specificity estimate for DAST-10 (6 data points) was good: 0.82 (95%CI=0.72-0.89) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e92%). The pooled PPV estimate for DAST-10 (4 data points) was good: 0.80 (95%CI=0.70-0.91) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e99%). The pooled NPV estimate for DAST-10 (4 data points) was good: 0.86 (95%CI=0.81-0.91) and there was moderate heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e40%).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eDrug Use Disorders Identification Test (DUDIT) \u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe pooled alpha estimate for DUDIT (15 data points) was excellent: 0.92 (95%CI=0.90-0.95) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e96%). There was insufficient data to calculate the pooled kappa estimate for DUDIT. The pooled sensitivity estimate for DUDIT (12 data points) was excellent: 0.93 (95%CI=0.89-0.96) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e76%). The pooled specificity estimate for DUDIT (12 data points) was moderate: 0.79 (95%CI=0.67-0.87) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e96%). The pooled PPV estimate (5 data points) was moderate: 0.61 (95%CI=0.34-0.87) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e99%). The pooled NPV estimate (5 data points) was excellent: 0.92 (95%CI=0.82-1.00) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e78%).\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMichigan Alcohol Screening Test (MAST)\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe pooled alpha estimate for MAST (8 data points) was moderate: 0.82 (95%CI=0.78-0.86) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e83%). The pooled kappa estimate for MAST (4 data points) was unsatisfactory: 0.69 (95%CI=0.58-0.81) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e0.88). The pooled sensitivity estimate for MAST (12 data points) was moderate: 0.70 (95%CI=0.58-0.80) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e95%). The pooled specificity estimate for MAST (12 data points) was good: 0.85 (95%CI=0.77-0.91) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e97%). The pooled PPV estimate for MAST (9 data points) was low: 0.51 (95%CI=0.30-0.71) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e98%). The pooled NPV estimate for MAST (6 data points) was good: 0.88 (95%CI=0.82-0.94) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e92%).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eProblem Oriented Screening Instrument for Teenagers (POSIT)\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe pooled alpha estimate for POSIT (2 data points) was good: 0.86 (95%CI=0.73-0.98) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e94%). The pooled sensitivity estimate for POSIT (3 data points) was good: 0.84 (95%CI=0.72-0.96) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e90%). The pooled specificity estimate for POSIT (3 data points) was good: 0.82 (95%CI=0.75-0.90) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e88%). There was insufficient data to calculate the pooled kappa, PPV, and NPV estimates for POSIT.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eSelf-Administered Alcoholism Screening Test\u003c/strong\u003e \u003cstrong\u003e(SAAST)\u003c/strong\u003e\u0026nbsp;\u0026nbsp;\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe pooled alpha estimate for SAAST (2 data points) was good: 0.89 (95%CI=0.79-0.99) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e95%). The pooled sensitivity estimate for SAAST (7 data points) was low: 0.52 (95%CI=0.33-0.71) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e98%). The pooled specificity estimate (7 data points) was good: 0.83 (95%CI=0.76-0.90) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e98%). The pooled PPV estimate for SAAST (6 data points) was low: 0.32 (95%CI=0.22-0.42) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e95%). The pooled NPV estimate for SAAST (6 data points) was excellent: 0.92 (95%CI=0.89-0.95) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e92%). There was insufficient data to calculate the pooled kappa estimates for SAAST.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eSemi-Structured Assessment for Drug Dependence and Alcoholism (SSADDA)\u0026nbsp;\u0026nbsp;\u0026nbsp; \u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThere are no alpha coefficients associated with semi-structures assessments such as SSADDA. The pooled kappa estimate for SSADDA (8 data points) was moderate: 0.84 (95%CI=0.77-0.91) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e0.97). There was insufficient data to calculate the pooled sensitivity, specificity, PPV and NPV estimates for SSADDA.\u0026nbsp;\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eSeverity of Dependence (SDS)\u0026nbsp;\u0026nbsp; \u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe pooled alpha estimate for SDS (6 data points) was good: 0.86 (95%CI=0.78-0.93) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e95%). The pooled sensitivity estimate for SDS (6 data points) was good: 0.83 (95%CI=0.76-0.90) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e77%). The pooled specificity estimate (6 data points) was good: 0.84 (95%CI=0.78-0.89) and there was moderate heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e44%). The pooled PPV estimate for SDS (3 data points) was good: 0.90 (95%CI=0.86-0.94) and there was low heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e0%). The pooled NPV estimate for SDS (3 data points) was good: 0.83 (95%CI=0.76-0.89) and there was low heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e3.5%). There was insufficient data to calculate the pooled kappa estimate for SDS.\u0026nbsp;\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTolerance-Annoyance Cut Down Eye Opener\u003c/strong\u003e \u003cstrong\u003e(T-ACE)\u003c/strong\u003e\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe pooled alpha estimate for T-ACE (2 data points) was unsatisfactory: 0.50 (95%CI=0.47-0.52) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e\u0026nbsp;29%). The pooled sensitivity estimate for T-ACE (8 data points) was good: 0.83 (95%CI=0.74-0.92) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e96%). The pooled specificity estimate for T-ACE (8 data points) was moderate: 0.72 (95%CI=0.65-0.79) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e98%). The pooled PPV estimate for T-ACE (6 data points) was low: 0.35 (95%CI=0.25-0.45) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e99%). The pooled NPV estimate for T-ACE (2 data points) was good: 0.87 (95%CI=0.62-1.00) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e97%). There was insufficient data to calculate the pooled estimate for kappa for T-ACE.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTimeline Followback (TLFB)\u003c/strong\u003e\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThere are no alpha coefficients associated with TLFB. The pooled kappa estimate for TLFB (3 data points) was good: 0.86 (95%CI=0.81-0.91) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e0.88). The pooled sensitivity estimate for TLFB (4 data points) was moderate: 0.80 (95%CI=0.73-0.87) and there was moderate heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e63%). The pooled specificity estimate for TLFB (3 data points) was excellent: 0.97 (95%CI=0.95-0.99) and there was low heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e0%). There was insufficient data to calculate the pooled estimate for PPV and NPV for TLFB.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTolerance, Worried, Eye-Opener, Amnesia, Cut down\u003c/strong\u003e \u003cstrong\u003e(TWEAK)\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe pooled alpha estimate for TWEAK (3 data points) was unsatisfactory: 0.62 (95%CI=0.55-0.69) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e86%). The pooled sensitivity estimate for TWEAK (36 data points) was good: 0.85 (95%CI=0.80-0.89) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e96%). The pooled specificity estimate for TWEAK (36 data points) was good: 0.86 (95%CI=0.82-0.90) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e99%). The pooled PPV estimate for TWEAK (5 data points) was low: 0.43 (95%CI=0.26-0.61) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e99%). The pooled NPV estimate for TWEAK (2 data points) was good: 0.88 (95%CI=0.70-1.00) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e95%). There was insufficient data to calculate the pooled estimate for kappa for TWEAK.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eThe Chemical Use, Abuse, and Dependence (CUAD)\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe pooled alpha estimate for CUAD (3 data points) was excellent: 0.96 (95%CI=0.94-0.98) and there was high heterogeneity between studies (I\u003csup\u003e2 \u0026nbsp;\u003c/sup\u003e95%). There was insufficient data to calculate the pooled estimate for kappa, sensitivity, specificity, PPV, and NPV for CUAD.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cu\u003eBiomarkers: \u003c/u\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAlanine transaminase (ALT)\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp; \u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe pooled sensitivity estimate for ALT (32 data points) was low: 0.32 (95%CI=0.24-0.40) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e96.1%). The pooled specificity estimate for ALT (32 data points) was good: 0.88 (95%CI=0.83-0.92) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e95.8%). The pooled PPV estimate for ALT (7 data points) was low 0.37 (95%CI=0.18-0.56) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e96.1%). The pooled NPV estimate for ALT (4 data points) was moderate: 0.63 (95%CI=0.42-0.85) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e97.5%).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAspartate transaminase (AST)\u0026nbsp;\u0026nbsp; \u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe pooled sensitivity estimate for AST (33 data points) was low: 0.48 (95%CI=0.40-0.55) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e97%). The pooled specificity estimate for AST (33 data points) was good: 0.86 (95%CI=0.81-0.90) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e97%). The pooled PPV estimate for AST (8 data points) was low: 0.42 (95%CI=0.27-0.57) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e93%). The pooled NPV estimate for AST (6 data points) was moderate: 0.69 (95%CI=0.55-0.83) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e95%).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAspartate transaminase, Alanine transaminase ratio (AST/ALT ratio)\u003c/strong\u003e\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe pooled sensitivity estimate for AST/ALT ratio (6 data points) was low: 0.34 (95%CI=0.22-0.46) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e96%). The pooled specificity estimate (4 data points) was moderate: 0.73 (95%CI=0.52-0.94) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e98%). There was insufficient data to calculate the pooled estimate for PPV and NPV.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eBlood alcohol concentration (BAC)\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp; \u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe pooled sensitivity estimate for BAC (5 data points) was moderate: 0.64 (95%CI=0.59-0.69) and there was moderate heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e44%). The pooled specificity estimate for BAC (5 data points) was moderate: 0.80 (95%CI=0.72-0.87) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e93%). The pooled PPV estimate for BAC (3 data points) was low: 0.60 (95%CI=0.15-1.00) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e98%). The pooled NPV estimate for BAC (3 data points) was moderate: 0.69 (95%CI=0.52-0.86) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e93%).\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCarbohydrate deficient transferrin (CDT) \u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThere are no alpha and kappa coefficients associated with biomarkers such as CDT. The pooled sensitivity estimate for CDT (8 data points) was low: 0.59 (95%CI=0.43-0.73) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e97%). The pooled specificity estimate for CDT (8 data points) was excellent: 0.96 (95%CI=0.93-0.98) and there was moderate heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e72%). The pooled PPV estimate for CDT (6 data points) was good: 0.85 (95%CI=0.74-0.97) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e76%). The pooled NPV estimate for CDT (6 data points) was moderate: 0.79 (95%CI=0.73-0.85) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e96%).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCarbohydrate deficient transferrin-Tech\u003c/strong\u003e \u003cstrong\u003e(CDTech)\u003c/strong\u003e\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThere are no alpha and kappa coefficients associated with biomarkers such as CDTech. The pooled sensitivity estimate for CDTech (41 data points) was low: 0.54 (95%CI=0.45-0.62) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e99%). The pooled specificity estimate for CDTech (41 data points) was good: 0.89 (95%CI=0.88-0.91) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e88%). The pooled PPV estimate for CDTech (12 data points) was low: 0.52 (95%CI=0.37-0.67) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e95%). The pooled NPV estimate for CDTech (8 data points) was moderate: 0.80 (95%CI=0.61-0.98) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e99%).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCarbohydrate deficient transferrin with Mean corpuscular volume (CDT with MCV)\u003c/strong\u003e \u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThere are no alpha and kappa coefficients associated with biomarkers such as CDT and MCV. The pooled sensitivity estimate for CDT with MCV (8 data points) was moderate: 0.74 (95%CI=0.60-0.88) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e98%). The pooled specificity estimate for CDT with MCV (4 data points) was excellent: 0.93 (95%CI=0.91-0.95) and there was low heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e0%). The pooled PPV estimate for CDT with MCV (4 data points) was moderate: 0.74 (95%CI=0.51-0.97) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e98%). The pooled NPV estimate for CDT with MCV (4 data points) was excellent: 0.92 (95%CI=0.83-1.00) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e95%)\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eGamma-Glutamyl Transferase (GGT)\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp; \u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThere are no alpha and kappa coefficients associated with biomarkers such as GGT. The pooled sensitivity estimate for GGT (76 data points) was low: 0.57 (95%CI=0.50-0.64) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e99%). The pooled specificity estimate for GGT (76 data points) was good: 0.83 (95%CI=0.78-0.86) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e98%). The pooled PPV estimate for GGT (30 data points) was low: 0.43 (95%CI=0.35-0.51) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e97%). The pooled NPV estimate for GGT (23 data points) was good: 0.82 (95%CI=0.70-0.94) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e99%).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eGamma-Glutamyl Transferase with Mean corpuscular volume (GGT with MCV)\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThere are no alpha and kappa coefficients associated with biomarkers such as GGT and MCV. The pooled sensitivity estimate for GGT with MCV (10 data points) was moderate: 0.64 (95%CI=0.38-0.84) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e99%). The pooled specificity estimate for GGT with MCV (10 data points) was good: 0.87 (95%CI=0.76-0.93) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e97%). The pooled PPV estimate for GGT with MCV (6 data points) was low: 0.47 (95%CI=0.28-0.66) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e98%). The pooled NPV estimate for GGT with MCV (6 data points) was good: 0.88 (95%CI=0.81-0.95) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e94%)\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthyl glucuronide (EtG) \u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThere are no alpha and kappa coefficients associated with biomarkers such as EtG. The pooled sensitivity estimate for EtG (6 data points) was good: 0.83 (95%CI=0.61-0.94) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e91%). The pooled specificity estimate for EtG (6 data points) was excellent: 0.95 (95%CI=0.90-0.98) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e66%). The pooled PPV estimate for EtG (2 data points) was moderate: 0.61 (95%CI=0.39-0.84) and there was moderate heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e58%). The pooled NPV estimate for EtG (2 data points) was good: 0.86 (95%CI=0.78-0.94) and there was moderate heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e60%).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMean corpuscular volume (MCV)\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp; \u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThere are no alpha and kappa coefficients associated with biomarkers such as MCV. The pooled sensitivity estimate for MCV (55 data points) was low: 0.39 (95%CI=0.33-0.45) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e97%). The pooled specificity estimate for MCV (55 data points) was excellent: 0.91 (95%CI=0.88-0.93) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e98%). The pooled PPV estimate for MCV (28 data points) was low: 0.48 (95%CI=0.36-0.59) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e98%). The pooled NPV estimate for MCV (22 data points) was moderate: 0.79 (95%CI=0.73-0.86) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e99%).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003ePercent Carbohydrate deficient transferrin (%CDT)\u003c/strong\u003e\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe pooled sensitivity estimate for %CDT (40 data points) was low: 0.56 (95%CI=0.47-0.65) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e98.2%). The pooled specificity estimate for %CDT (40 data points) was 0.91, which is considered as excellent (95%CI=0.88-0.94) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e97%). The pooled PPV estimate for %CDT (13 data points) was low: 0.58 (95%CI=0.38-0.78) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e98.5%). The pooled NPV estimate for %CDT (13 data points) was good: 0.85 (95%CI=0.78-0.92) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e97.6%).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003ePhosphatidylethanol (PEth) \u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp; \u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThere are no alpha and kappa coefficients associated with biomarkers such as PEth. The pooled sensitivity estimate for PEth (7 data points) was good: 0.87 (95%CI=0.79-0.96) and there was high heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e94%). The pooled specificity estimate for PEth (4 data points) was excellent: 0.94 (95%CI=0.91-0.97) and there was moderate heterogeneity between studies (I\u003csup\u003e2 \u003c/sup\u003e31%). There was insufficient data to calculate the pooled estimate for PPV and NPV for PEth\u003c/p\u003e"},{"header":"Discussion","content":"\u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;line-height:200%;\"\u003eIn this systematic review and meta-analysis, we identified 387 unique papers that have published data on the validity, reliability and diagnostic accuracy of 37 scales for substance classes that are associated with HIV risk. We observed based on meta-analyzable data available, that fourteen of the thirty-seven measures/scales (38%) that had all pooled estimates consistently meet criteria for acceptability (e.g., ranging between fair/moderate-to-excellent), which included the following self-reported measures:\u003c/p\u003e\n\u003cul\u003e\n \u003cli\u003e\u003cspan style=\"font-family:Helvetica;color:black;\"\u003eAlcohol Dependence Scale\u003c/span\u003e\u003c/li\u003e\n \u003cli\u003e\u003cspan style=\"font-family:Helvetica;color:black;\"\u003eAddiction Severity Index (ASI)\u003c/span\u003e\u003c/li\u003e\n \u003cli\u003e\u003cspan style=\"font-family:Helvetica;color:black;\"\u003eASI subscale for Alcohol; ASSIST\u003c/span\u003e\u003c/li\u003e\n \u003cli\u003e\u003cspan style=\"font-family:Calibri;\"\u003eComposite International Diagnostic Interview\u003c/span\u003e\u003c/li\u003e\n \u003cli\u003e\u003cspan style=\"font-family:Calibri;\"\u003eDrug Abuse Screen Test - 10 item scale\u003c/span\u003e\u003c/li\u003e\n \u003cli\u003e\u003cspan style=\"font-family:Calibri;\"\u003eDrug Use Disorders Identification Test\u003c/span\u003e\u003c/li\u003e\n \u003cli\u003e\u003cspan style=\"font-family:Helvetica;color:black;\"\u003eProblem Oriented Screening Instrument for Teenagers\u003c/span\u003e\u003c/li\u003e\n \u003cli\u003e\u003cspan style=\"font-family:Helvetica;color:black;\"\u003eSeverity of Dependence scale\u003c/span\u003e\u003c/li\u003e\n \u003cli\u003e\u003cspan style=\"font-family:Helvetica;color:black;\"\u003eTimeline Followback\u003c/span\u003e\u003c/li\u003e\n \u003cli\u003e\u003cspan style=\"font-family:Calibri;\"\u003eChemical Use, Abuse, and Dependence\u003c/span\u003e\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp style=\"margin-top:0in;margin-right:0in;margin-bottom:.0001pt;margin-left:.5in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;line-height:200%;\"\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;line-height:200%;\"\u003e\u003cspan style=\"color:black;background:#FAFAFA;\"\u003eBiomarkers that had all pooled estimates that were fair/moderate or better include the following:\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n\u003cul\u003e\n \u003cli\u003e\u003cspan style=\"font-family:Calibri;\"\u003eEthyl glucuronide\u003c/span\u003e\u003c/li\u003e\n \u003cli\u003e\u003cspan style=\"font-family:Helvetica;color:black;\"\u003ePhosphatidylethanol test\u003c/span\u003e\u003c/li\u003e\n \u003cli\u003e\u003cspan style=\"font-family:Helvetica;color:black;\"\u003eThe combined used of Carbohydrate deficient transferrin and Mean corpuscular volume.\u0026nbsp;\u003c/span\u003e\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp style=\"margin-top:0in;margin-right:0in;margin-bottom:.0001pt;margin-left:.5in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;line-height:200%;\"\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;line-height:200%;\"\u003e\u003cspan style=\"color:black;background:#FAFAFA;\"\u003eTaken together, our findings highlight the availability of a promising range of tools for researchers and practitioners when assessing substance use, particularly those working with classes of substances associated with HIV risk, such as heroin, methamphetamine, cocaine, ecstasy, and alcohol. Nevertheless, further research is needed to determine why some substance use measures do not consistently have acceptable psychometric properties across different studies.\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n\u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;line-height:200%;\"\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;line-height:200%;\"\u003e\u003cspan style=\"color:black;background:#FAFAFA;\"\u003eOverall, while most of the self-reported scales had acceptable validity, most did not have acceptable reliability: 65% of pooled estimates for alpha were in the range of fair-to-excellent though only 44% of estimates for kappa were in the range of fair-to-excellent. Moreover,\u0026nbsp;\u003c/span\u003ea greater proportion of the scales we identified and meta-analyzed were better at correctly identifying individuals who are truly not using substances/not problematic users among those truly without these conditions (specificity: 97% of summary estimates) and among those who were deemed as not having this condition in the scale (negative predictive value: 96%). In contrast to specificity and negative predictive value estimates, fewer scales had pooled estimates on sensitivity and positive predictive value that were in the fair-to-excellent range (69% and 37%, respectively). These may have implications in the application of these measures in different settings. For example, in the criminal justice system, it may be better to utilize measures that have high specificity and negative predictive properties if the priority is to avoid false-positive results. However, in health settings, it may be more ideal to use measures with better sensitivity and positivity to better capture individuals who may require further assessment for substance use disorder assessments and treatment referrals, as appropriate.\u0026nbsp;\u003c/p\u003e\n\u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;line-height:200%;\"\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;line-height:200%;\"\u003eOverall, the studies identified in this review had administered scales in English, were conducted within in the United States, and were less commonly tested among exclusively-women samples (there were twice as many exclusively-men samples in comparison). These findings highlight the general lack of diversity in terms of language, setting, and study population for the studies reporting validity, reliability, and diagnostic accuracy on substance use measures. Given the high morbidity and mortality associated with substance use globally and for different risk populations, greater effort is needed to further evaluate the psychometric properties of substance use measures in such samples. This study also found that few papers on substance use psychometric properties are “low risk” across all QUADAS 2 domains (16%). This finding highlights the need to further study the validity, reliability, and diagnostic accuracy of substance use measures using studies designed with better methodological rigor to reduce risk of bias.\u0026nbsp;\u003c/p\u003e\n\u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;line-height:200%;\"\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;line-height:200%;\"\u003eThis present study has several limitations. First, our inclusion criteria may have excluded some potentially relevant studies on the psychometric properties of substance use measures that were not published in English. Hence, although we included measures that were not administered in English as long as they were published in English, our findings may not necessarily be generalizable to the psychometric properties of non-English measures that were not published in English. It should also be noted that our eligibility criteria likely favored the inclusion of studies that were conducted in settings where English proficiency was higher, which is correlated with countries with higher gross national income per capita (42). \u0026nbsp;Moreover, while our search strategy was developed to try and identify all the relevant studies, many publications that have calculated our psychometric properties of interest may not have language referencing the specific key words/terms in our strategy in their titles and/or abstracts. In particular, this may occur because the psychometric data of scales may not be considered a “primary outcome” of a study, and thus not be highlighted in the title or abstract (i.e., the relevant data are imbedded within the full-text only). Additionally, while we did not specifically seek out studies only among HIV-risk populations, per se, our study did focus on substance classes that have been associated with HIV risk, namely alcohol, stimulants (methamphetamine, amphetamine, cocaine, ecstasy), and heroin. Hence, our search may have missed studies on more general substance use measures that did not explicitly name our targeted substance classes. Therefore, our findings should be interpreted with this limitation in mind. Furthermore, we were unable to calculate pooled estimates for some psychometric outcomes of several measures due to lack of published data. Further research to fill our gaps in knowledge on the psychometric properties of these substance use measures.\u003c/p\u003e\n\u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;line-height:200%;\"\u003e\u003cstrong\u003e\u003cu\u003e\u003cspan style=\"text-decoration:none;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/u\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;line-height:200%;\"\u003eTo our knowledge, this is the first systematic review and meta-analysis involving the synthesis of psychometric data across different measures of substances that are associated with HIV risk. As mentioned, limited research has been conducted with respect with quantitatively pooling the psychometric characteristics of substance use measures. Our findings highlight the general strengths of many substance use measures with respect to their validity, reliability, and diagnostic accuracy across multiple studies/samples. To facilitate the dissemination of these findings, and provide researchers with a resource to identify validated, reliable, and accurate measures for substance use, we collaborated with members of the [BLINDED] Scientific Committee to develop a web-based tool, with the results of the pooled summary estimates presented in this study. The tool, named “Substance Use Measure Identification (SUMI) Tool” is available as a free resource in the [BLINDED] website (URL: [BLINDED]).\u003c/p\u003e\n\u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;line-height:200%;\"\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;line-height:200%;\"\u003eIn summary, researchers in the field of substance use should endeavor to conduct more validity, reliability, and diagnostic accuracy studies on measures to identify substance use and use disorders among more diverse settings and populations, and with more rigorous study designs. Ultimately, accurate identification of substance users and problematic substance use is a critical step in identifying individuals for substance use treatment and evaluating the effectiveness of treatment strategies. Hence, further evaluation of substance use measures is of great importance not only to the field of substance use research, but also substance use treatment. Given the substantial contribution of substance use to the global burden of disease\u0026nbsp;(5), having robust data on the psychometric properties of substance use measure can help researchers identify the best tools to use in research studies, further enhancing the collection of more valid, reliable, accurate data to inform evidence-based responses to substance use.\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\n \u003cbr\u003e\u0026nbsp;\n \u003c/span\u003e\u003c/p\u003e\n\u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u0026nbsp;\u003c/p\u003e"},{"header":"Conclusions","content":"\u003cp\u003eIn summary, researchers in the field of substance use should endeavor to conduct more validity, reliability, and diagnostic accuracy studies on measures to identify substance use and use disorders among more diverse settings and populations, and with more rigorous study designs. Ultimately, accurate identification of substance users and problematic substance use is a critical step in identifying individuals for substance use treatment and evaluating the effectiveness of treatment strategies. Hence, further evaluation of substance use measures is of great importance not only to the field of substance use research, but also substance use treatment. Given the substantial contribution of substance use to the global burden of disease (5), having robust data on the\u003c/p\u003e\n\u003cp\u003epsychometric properties of substance use measure can help researchers identify the best tools to use in research studies, further enhancing the collection of more valid, reliable, accurate data to inform evidence-based responses to substance use.\u003c/p\u003e"},{"header":"Abbreviations","content":"\u003ctable width=\"654\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd width=\"114\"\u003e\n\u003cp\u003e%CDT\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"540\"\u003e\n\u003cp\u003e% Carbohydrate deficient transferrin\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"114\"\u003e\n\u003cp\u003eADS\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"540\"\u003e\n\u003cp\u003eAlcohol Dependence Scale\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"114\"\u003e\n\u003cp\u003eALT\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"540\"\u003e\n\u003cp\u003eAlanine transaminase\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"114\"\u003e\n\u003cp\u003eART\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"540\"\u003e\n\u003cp\u003eAntiretroviral therapy\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"114\"\u003e\n\u003cp\u003eASI\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"540\"\u003e\n\u003cp\u003eAddiction Severity Index\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"114\"\u003e\n\u003cp\u003eASI-A\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"540\"\u003e\n\u003cp\u003eAddiction Severity Index-Alcohol (alcohol sub-scale)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"114\"\u003e\n\u003cp\u003eASI-D\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"540\"\u003e\n\u003cp\u003eAddiction Severity Index-Drugs\u0026nbsp; (drugs sub-scale)\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"114\"\u003e\n\u003cp\u003eASSIST\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"540\"\u003e\n\u003cp\u003eThe Alcohol, Smoking, and Substance Involvement Screening Test\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"114\"\u003e\n\u003cp\u003eAST\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"540\"\u003e\n\u003cp\u003eAspartate transaminase\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"114\"\u003e\n\u003cp\u003eAST/ALT\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"540\"\u003e\n\u003cp\u003eAspartate transaminase, Alanine transaminase ratio\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"114\"\u003e\n\u003cp\u003eAUDADIS\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"540\"\u003e\n\u003cp\u003eAlcohol Use Disorder and Associated Disabilities Interview Schedule\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"114\"\u003e\n\u003cp\u003eAUDIT\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"540\"\u003e\n\u003cp\u003eAlcohol Use Disorders Identification Test\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"114\"\u003e\n\u003cp\u003eAUDIT-3\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"540\"\u003e\n\u003cp\u003eAlcohol Use Disorders Identification Test - Question 3\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"114\"\u003e\n\u003cp\u003eAUDIT-C\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"540\"\u003e\n\u003cp\u003eAlcohol Use Disorders Identification Test - C\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"114\"\u003e\n\u003cp\u003eB-MAST\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"540\"\u003e\n\u003cp\u003eBrief Michigan Alcoholism Screening Test\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"114\"\u003e\n\u003cp\u003eBAC\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"540\"\u003e\n\u003cp\u003eBlood alcohol concentration\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"114\"\u003e\n\u003cp\u003eCAGE\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"540\"\u003e\n\u003cp\u003eCut down, Annoyed, Guilty, Eye-opener\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"114\"\u003e\n\u003cp\u003eCDT\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"540\"\u003e\n\u003cp\u003eCarbohydrate deficient transferrin\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"114\"\u003e\n\u003cp\u003eCDTech\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"540\"\u003e\n\u003cp\u003eCDTech\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"114\"\u003e\n\u003cp\u003eCDT + MCV\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"540\"\u003e\n\u003cp\u003eCarbohydrate deficient transferrin + Mean corpuscular volume\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"114\"\u003e\n\u003cp\u003eCIDI\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"540\"\u003e\n\u003cp\u003eComposite International Diagnostic Interview\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"114\"\u003e\n\u003cp\u003eCRAFFT\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"540\"\u003e\n\u003cp\u003eCar, Relax, Alone, Forget, Friends, Trouble\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"114\"\u003e\n\u003cp\u003eCUAD\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"540\"\u003e\n\u003cp\u003eThe Chemical Use, Abuse, and Dependence\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"114\"\u003e\n\u003cp\u003eDALY\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"540\"\u003e\n\u003cp\u003eDisability-adjusted life year\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"114\"\u003e\n\u003cp\u003eDAST\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"540\"\u003e\n\u003cp\u003eDrug Abuse Screen Test\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"114\"\u003e\n\u003cp\u003eDAST-10\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"540\"\u003e\n\u003cp\u003eDrug Abuse Screen Test \u0026ndash; 10 item\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"114\"\u003e\n\u003cp\u003eDSM\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"540\"\u003e\n\u003cp\u003eDiagnostic and Statistical Manual of Mental Disorders\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"114\"\u003e\n\u003cp\u003eDUDIT\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"540\"\u003e\n\u003cp\u003eDrug Use Disorders Identification Test\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"114\"\u003e\n\u003cp\u003eGGT\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"540\"\u003e\n\u003cp\u003eGamma-Glutamyl Transferase\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"114\"\u003e\n\u003cp\u003eGGT + MCV\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"540\"\u003e\n\u003cp\u003eGamma-Glutamyl Transferase + Mean corpuscular volume\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"114\"\u003e\n\u003cp\u003eHIV\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"540\"\u003e\n\u003cp\u003eHuman immunodeficiency virus\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"114\"\u003e\n\u003cp\u003eEtG\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"540\"\u003e\n\u003cp\u003eEthyl glucuronide\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"114\"\u003e\n\u003cp\u003eMAST\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"540\"\u003e\n\u003cp\u003eMichigan Alcohol Screening Test\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"114\"\u003e\n\u003cp\u003eMCV\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"540\"\u003e\n\u003cp\u003eMean corpuscular volume\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"114\"\u003e\n\u003cp\u003eMDMA\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"540\"\u003e\n\u003cp\u003e3,4-methylenedioxy-methamphetamine\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"114\"\u003e\n\u003cp\u003eMeSH\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"540\"\u003e\n\u003cp\u003eMedical Subject Headings\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"114\"\u003e\n\u003cp\u003eMLIS\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"540\"\u003e\n\u003cp\u003eMaster\u0026rsquo;s degree in library and information science\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"114\"\u003e\n\u003cp\u003eNPV\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"540\"\u003e\n\u003cp\u003eNegative predictive value\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"114\"\u003e\n\u003cp\u003ePEth\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"540\"\u003e\n\u003cp\u003ePhosphatidylethanol\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"114\"\u003e\n\u003cp\u003ePLWH\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"540\"\u003e\n\u003cp\u003ePeople living with HIV\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"114\"\u003e\n\u003cp\u003ePOSIT\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"540\"\u003e\n\u003cp\u003eProblem Oriented Screening Instrument for Teenagers\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"114\"\u003e\n\u003cp\u003ePPV\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"540\"\u003e\n\u003cp\u003ePositive predictive value\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"114\"\u003e\n\u003cp\u003eQUADAS-2\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"540\"\u003e\n\u003cp\u003eRevised Tool for the Quality Assessment of Diagnostic Accuracy Studies\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"114\"\u003e\n\u003cp\u003eSAAST\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"540\"\u003e\n\u003cp\u003eSelf-Administered Alcoholism Screening Test\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"114\"\u003e\n\u003cp\u003eSSADDA\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"540\"\u003e\n\u003cp\u003eSemi-Structured Assessment for Drug Dependence and Alcoholism\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"114\"\u003e\n\u003cp\u003eSDS\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"540\"\u003e\n\u003cp\u003eSeverity of Dependence\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"114\"\u003e\n\u003cp\u003eTACE\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"540\"\u003e\n\u003cp\u003eTolerance-Annoyance Cut Down Eye Opener\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"114\"\u003e\n\u003cp\u003eTLFB\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"540\"\u003e\n\u003cp\u003eTimeline Followback\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"114\"\u003e\n\u003cp\u003eTWEAK\u003c/p\u003e\n\u003c/td\u003e\n\u003ctd width=\"540\"\u003e\n\u003cp\u003eTolerance, Worried, Eye-Opener, Amnesia, Cut down\u003c/p\u003e\n\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003c/table\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003e-Ethics approval and consent to participate \u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis study involved only analysis of data from published scientific literature; we did not collect any primary data.\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e-Consent for publication\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNot applicable.\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e-Availability of data and material\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAll data used in this meta-analyses have been previously published and accessible in the literature.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003e-Competing interests\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAuthors declare no competing interests.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e-Funding\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis study was supported by HPTN, which receives its funding from three NIH Institutes: the National Institute of Allergy and Infectious Diseases, the National Institute of Mental Health and the National Institute on Drug Abuse (Grant # UM1 AI068619). No funding bodies had any role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e-Author Contributions:\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eGMS performed the data analysis, interpreted the data, and let the preparation of the manuscript. SAS, NE, SS, designed the study with GMS, and contributed to data interpretation and revising the manuscript critically for important intellectual content. PP, DS, DH, RC, CM, PM, FC, BK performed the systematic search, and data extraction, and contributed to data interpretation and revising the manuscript critically for important intellectual content. IA provided input on the data analysis and revise the manuscript critically for important intellectual content.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e-Acknowledgements\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eWe would like to thank Evans Whitaker, MD, MLIS from University of California San Francisco library for his assistance with the development and execution of the search strategy. We also thank the members of the HPTN Substance Use Scientific Committee for the feedback they provided on this project.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eUnited Nations Office on Drugs and Crime. World Drug Report 2017. Vienna, Austria: United Nations Office on Drugs and Crime; 2017 2017.\u003c/li\u003e\n\u003cli\u003eWorld Health Organization. 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The performance of tests of publication bias and other sample size effects in systematic reviews of diagnostic test accuracy was assessed. Journal of clinical epidemiology. 2005;58(9):882-93.\u003c/li\u003e\n\u003cli\u003eMcCormick C. Correlates of Validity of Self-Reported Methamphetamine Use Among a Sample of Dependent Adults. Harvard Business Review. 2013;2013(11).\u003c/li\u003e\n\u003cli\u003eSubstance Abuse and Mental Health Services Administration. Results from the 2013 National Survey on Drug Use and Health: Summary of National Findings,. Rockville, MD; 2014. Contract No.: Publication No. (SMA) 14-4863.\u003c/li\u003e\n\u003cli\u003eRobins LN, Helzer JE, Croughan J, Ratcliff KS. National Institute of Mental Health Diagnostic Interview Schedule. Its history, characteristics, and validity. Arch Gen Psychiatry. 1981;38(4):381-9.\u003c/li\u003e\n\u003cli\u003eGrant BF, Goldstein RB, Smith SM, Jung J, Zhang H, Chou SP, et al. The Alcohol Use Disorder and Associated Disabilities Interview Schedule-5 (AUDADIS-5): reliability of substance use and psychiatric disorder modules in a general population sample. Drug and alcohol dependence. 2015;148:27-33.\u003c/li\u003e\n\u003cli\u003eBuck AA, Gart JJ. Comparison of a screening test and a reference test in epidemiologic studies. I. Indices of agreement and their relation to prevalence. Am J Epidemiol. 1966;83(3):586-92.\u003c/li\u003e\n\u003cli\u003eSchmidt RL, Factor RE. Understanding sources of bias in diagnostic accuracy studies. Arch Pathol Lab Med. 2013;137(4):558-65.\u003c/li\u003e\n\u003cli\u003eBentley TG, Catanzaro A, Ganiats TG. Implications of the impact of prevalence on test thresholds and outcomes: lessons from tuberculosis. BMC Res Notes. 2012;5:563.\u003c/li\u003e\n\u003c/ol\u003e"},{"header":"Tables","content":"\u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\n \u003cbr\u003e\n\u003c/p\u003e\n\u003ctable style=\"width: 1140;border-collapse:collapse;border:none;\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"4\" style=\"width: 854.75pt;border: 1pt solid windowtext;background: rgb(217, 217, 217);padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cstrong\u003eTable 1. \u003cstrong style=\"font-weight: 700; color: rgb(0, 0, 0); font-family: Calibri, sans-serif; font-size: 15px; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; text-decoration-style: initial; text-decoration-color: initial;\"\u003eSubstance use Measures/Scales identified in Systematic Review and Meta-analyzed\u003c/strong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 139.25pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;background: rgb(217, 217, 217);padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cstrong\u003e\u003cspan style=\"color:black;\"\u003eScale Name Full\u003c/span\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58.5pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(217, 217, 217);padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cstrong\u003e\u003cspan style=\"color:black;\"\u003eScale Abbreviation\u003c/span\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 0.75in;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(217, 217, 217);padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cstrong\u003e\u003cspan style=\"color:black;\"\u003eNo. of Unique Studies*\u003c/span\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 603pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(217, 217, 217);padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cstrong\u003e\u003cspan style=\"color:black;\"\u003eDescription\u003c/span\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"4\" style=\"width: 854.75pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;background: rgb(222, 234, 246);padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cstrong\u003e\u003cspan style=\"color:black;\"\u003eSELF-REPORTED MEASURES\u003c/span\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 139.25pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin-left:.25in;\"\u003e\u003cspan style=\"color:black;\"\u003eAlcohol Dependence Scale\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58.5pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eADS\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 0.75in;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 603pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003eThe Alcohol Dependence Scale (ADS) is an alcohol screening and assessment tool that provides a quantitative index for the severity of alcohol dependence. Developed with respect to the concept of alcohol dependence syndrome, the ADS is comprised of 25 items that assess withdrawal symptoms, alcohol tolerance, awareness of dependence, ability to control drinking, and the salience of drink-seeking behavior.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 139.25pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin-left:.25in;\"\u003e\u003cspan style=\"color:black;\"\u003eAddiction Severity Index\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58.5pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eASI\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 0.75in;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 603pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003eThe Addiction Severity Index (ASI) is a structured interview for assessing alcohol and drug dependence. The ASI comprises 200 items across seven scales assessing past 30-day and lifetime alcohol use, drug use, medical problems, employment/support problems, legal problems, family/social problems, and psychological problems.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 139.25pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin-left:.25in;\"\u003e\u003cspan style=\"color:black;\"\u003eAddiction Severity Index-Alcohol (alcohol sub-scale)\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58.5pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eASI-A\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 0.75in;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 603pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003eThe Addiction Severity Index – Alcohol (ASI-A) is the alcohol sub-scale of the Addiction Severity Index. It assesses frequency of past 30-day and lifetime alcohol use and intoxication, alcohol-related problems including withdrawal symptoms, and treatment experiences.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 139.25pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin-left:.25in;\"\u003e\u003cspan style=\"color:black;\"\u003eAddiction Severity Index-Drugs \u0026nbsp;(drugs sub-scale)\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58.5pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eASI-D\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 0.75in;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e20\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 603pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003eThe Addiction Severity Index – Drugs (ASI-D) is the drug sub-scale of the Addiction Severity Index. It assesses frequency of past 30-day and lifetime use of 10 drug classes (heroin, methadone, other opiates/analgesics, barbiturates, other sedatives/hypnotics/tranquilizers, cocaine, amphetamines, cannabis, hallucinogens, and inhalants), drug-related problems including overdose, and treatment experiences.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 139.25pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin-left:.25in;\"\u003e\u003cspan style=\"color:black;\"\u003eThe Alcohol, Smoking, and Substance Involvement Screening Test\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58.5pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eASSIST\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 0.75in;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 603pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003eThe Alcohol, Smoking and Substance Involvement Screening Test (ASSIST) is a tool developed by the World Health Organization to screen for risky use of alcohol, tobacco and other drugs. It comprises items measuring past three-month and lifetime frequency of use of tobacco products, alcohol and illicit drugs (cannabis, cocaine, amphetamine-type stimulants, inhalants, sedatives/sleeping pills, hallucinogens, opioids, other drugs) and related health, social, legal and financial problems.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 139.25pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin-left:.25in;\"\u003e\u003cspan style=\"color:black;\"\u003eAlcohol Use Disorders Identification Test\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58.5pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eAUDIT\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 0.75in;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e127\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 603pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003eThe Alcohol Use Disorders Identification Test (AUDIT) is a ten-question test developed by a World Health Organization-sponsored collaborative project to identify persons with hazardous and harmful patterns of alcohol consumption or alcohol dependence. It comprises questions on amount and frequency of alcohol consumed, alcohol dependence, and alcohol-related problems.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 139.25pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin-left:.25in;\"\u003e\u003cspan style=\"color:black;\"\u003eAlcohol Use Disorders Identification Test - Question 3\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58.5pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eAUDIT-3\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 0.75in;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e16\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 603pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003eThe Alcohol Use Disorders Identification Test – 3 (AUDIT-3) is a brief alcohol screening instrument. Derived from the third question of the ten-item AUDIT developed by the World Health Organization, it consists of a single-item measure assessing heavy episodic drinking.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 139.25pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin-left:.25in;\"\u003e\u003cspan style=\"color:black;\"\u003eAlcohol Use Disorders Identification Test - C\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58.5pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eAUDIT-C\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 0.75in;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 603pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003eThe Alcohol Use Disorders Identification Test - Concise (AUDIT-C) is a brief alcohol screening instrument derived from the first three questions of the ten-item AUDIT developed by the World Health Organization. It assesses frequency of alcohol consumption, number of standard drinks consumed on a typical drinking day, and frequency of consumption of six or more drinks on one occasion.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 139.25pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin-left:.25in;\"\u003e\u003cspan style=\"color:black;\"\u003eBrief Michigan Alcoholism Screening Test\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58.5pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eB-MAST\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 0.75in;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 603pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003eAdapted from the original Michigan Alcohol Screening Test (MAST), the Brief Michigan Alcohol Screening Test (B-MAST) is a shortened 10-item alcohol use questionnaire that aims to identify alcohol dependence. The 10 items assess the presence or absence of negative consequences as a result of drinking through yes or no self-reported responses.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 139.25pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin-left:.25in;\"\u003e\u003cspan style=\"color:black;\"\u003eCut down, Annoyed, Guilty, Eye-opener\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58.5pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eCAGE\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 0.75in;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e98\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 603pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003eCAGE is a four-item measure designed to identify problem drinking. The four items assess whether an individual has ever felt the need to cut down on their drinking, been annoyed by others’ criticism of their drinking, felt guilty about drinking, or felt the need to have a drink first-thing in the morning to steady their nerves or get rid of a hangover.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:139.25pt;border:solid windowtext 1.0pt;border-top:none;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin-left:.25in;\"\u003e\u003cspan style=\"color:black;\"\u003eComposite International Diagnostic Interview\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:58.5pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eCIDI\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.75in;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003eOriginal version: 2; \u0026nbsp;Version 2.1: 2; Version 3: 2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:603.0pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003eThe \u003cspan style=\"color:black;\"\u003eComposite International Diagnostic Interview (CIDI) is a structure interview developed by the World Health Organization to assess psychiatric disorders based on International Statistical Classification of Diseases and Related Health Problems (ICD) definitions and Diagnostic and Statistical Manual of Mental Disorders (DSM) criteria.\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 139.25pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin-left:.25in;\"\u003e\u003cspan style=\"color:black;\"\u003eCar, Relax, Alone, Forget, Friends, Trouble\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58.5pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eCRAFFT\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 0.75in;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 603pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003eThe Car, Relax, Alone, Forget, Friends, Trouble (CRAFFT) questionnaire is screening tool to identify substance use problems among adolescents.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 139.25pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin-left:.25in;\"\u003e\u003cspan style=\"color:black;\"\u003eDrug Abuse Screen Test\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58.5pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eDAST\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 0.75in;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 603pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003eThe \u003cspan style=\"color:black;\"\u003eDrug Abuse Screen Test (DAST) is a 28-item questionnaire parallel to those of the Michigan Alcoholism Screening Test (MSM) to screen for drug use problems and consequences.\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 139.25pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin-left:.25in;\"\u003e\u003cspan style=\"color:black;\"\u003eDrug Abuse Screen Test – 10 item\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58.5pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eDAST-10\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 0.75in;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 603pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003eThe \u003cspan style=\"color:black;\"\u003eDrug Abuse Screen Test – 10 item (DAST-10) is a shorten version of the DAST screening test. It is used to assess problems and consequences related to substance use.\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 139.25pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin-left:.25in;\"\u003e\u003cspan style=\"color:black;\"\u003eDrug Use Disorders Identification Test\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58.5pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eDUDIT\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 0.75in;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 603pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003eThe Drug Use Disorders Identification Test (DUDIT), designed as a parallel instrument to the AUDIT, is an 11-item self-administered screening instrument for drug-related problems. It assesses use patterns of use and various drug-related problems.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 139.25pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin-left:.25in;\"\u003e\u003cspan style=\"color:black;\"\u003eMichigan Alcohol Screening Test\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58.5pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eMAST\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 0.75in;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 603pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003eThe Michigan Alcohol Screening Test (MAST) is a 25-item scale designed to assess lifetime symptoms of alcoholism with a focus on late-stage symptoms.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 139.25pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin-left:.25in;\"\u003e\u003cspan style=\"color:black;\"\u003eProblem Oriented Screening Instrument for Teenagers\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58.5pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003ePOSIT\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 0.75in;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 603pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003eThe Problem Oriented Screening Instrument for Teenagers (POSIT) is a self-administer screening questionnaire comprised of 139 items which screen for potential problems in 10 domains including Substance use and abuse; Physical health; Mental health; Family relations; Peer relations; Educational status; Vocational status; Social skills; Leisure/recreation; and Aggressive behavior.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 139.25pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin-left:.25in;\"\u003e\u003cspan style=\"color:black;\"\u003eSelf-Administered Alcoholism Screening Test\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58.5pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eSAAST\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 0.75in;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 603pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003eThe \u003cspan style=\"color:black;\"\u003eSelf-Administered Alcoholism Screening Test (SAAST) is a 35-item questionnaire to screen for alcohol dependence. It assesses problem related to alcohol in the following domains:\u003c/span\u003e loss of control, occupational and social disruption, physical consequences, emotional consequences, concern on the part of others, and family members with alcohol problems.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 139.25pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin-left:.25in;\"\u003e\u003cspan style=\"color:black;\"\u003eSemi-Structured Assessment for Drug Dependence and Alcoholism\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58.5pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eSSADDA\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 0.75in;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 603pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003eThe Semi-structured Assessment for Drug Dependence and Alcoholism (SSADDA) is a screening instrument that assesses alcohol/drug abuse and dependence as well as other DSM-IV disorders throughout the lifetime. It was developed from the Semi-Structured Assessment for the Genetics of Alcoholism, and therefore includes questions on the onset and recency of individual alcohol/drug abuse and dependence symptoms, allowing temporal assessment of symptom clusters. Its format as a semi-structured interview lists questions to be read verbatim, but also allows the interviewer to add follow-up questions.\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 139.25pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin-left:.25in;\"\u003e\u003cspan style=\"color:black;\"\u003eSeverity of Dependence\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58.5pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eSDS\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 0.75in;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 603pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003eThe Severity of Dependence Scale (SDS) is a 5-item questionnaire used to measure the degree of dependence on different classes of drugs, with a focus on the psychological components of dependence.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 139.25pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin-left:.25in;\"\u003e\u003cspan style=\"color:black;\"\u003eTolerance-Annoyance Cut Down Eye Opener\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58.5pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eTACE\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 0.75in;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 603pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003eTolerance-Annoyance Cut Down Eye Opener (TACE) is a 4-item screening tool to identify maternal prenatal problematic alcohol use.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 139.25pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin-left:.25in;\"\u003e\u003cspan style=\"color:black;\"\u003eTimeline \u0026nbsp;Followback\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58.5pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eTLFB\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 0.75in;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 603pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003eThe Timeline \u0026nbsp;Followback (TLFB) is a method that involves the use of a timeline (e.g., calendar) to ask individuals to estimate their daily alcohol and/or drug use consumption retrospectively (e.g., 7 days, 2 years). \u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 139.25pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin-left:.25in;\"\u003e\u003cspan style=\"color:black;\"\u003eTolerance, Worried, Eye-Opener, Amnesia, Cut down\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58.5pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eTWEAK\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 0.75in;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 603pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003eOriginally developed as an alcohol screening tool for periconceptional risk in obstetric outpatients, TWEAK, is a 5-item questionnaire that seeks to identify harmful drinking. The 5-items are comprised of questions from the MAST, CAGE, and T-ACE screening tools and cover tolerance, worry, eye-opener, amnesia, k/cut-down (which make up the acronym TWEAK). TWEAK is primarily used as an efficient method to determine whether or not the risk or presence of harmful drinking should be further assessed and/or treated.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 139.25pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin-left:.25in;\"\u003e\u003cspan style=\"color:black;\"\u003eThe Chemical Use, Abuse, and Dependence\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58.5pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eCUAD\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 0.75in;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 603pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003eThe Chemical Use, Abuse, and Dependence (CUAD) is a semi-structure interview that can measure substance use severity and substance use disorders.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"4\" style=\"width: 854.75pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;background: rgb(251, 228, 213);padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cstrong\u003e\u003cspan style=\"color:black;\"\u003eBIOMARKERS\u003c/span\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 139.25pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin-left:.25in;\"\u003e\u003cspan style=\"color:black;\"\u003e% Carbohydrate deficient transferrin\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58.5pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003e%CDT\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 0.75in;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 603pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003eCarbohydrate-deficient transferrin (CDT) is an alcohol biomarker that is used as a clinical screening and monitoring tool to identify heavy drinking. Transferrin is glycoprotein produced in the liver that normally has 3-5 carbohydrate side chains. Heavy alcohol use, however, inhibits the enzymes involved to appropriately regulate these side chains; causing the transferrin to be carbohydrate deficient. A %CDT reading ≥ 2.6 indicates that a participant may have had on average at least 5 alcoholic drinks daily for ≥ 2 weeks. Laboratory blood test can detect elevated levels of CDT (%CDT), which are indicative of heavy alcohol consumption and often used to detect relapses.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 139.25pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin-left:.25in;\"\u003e\u003cspan style=\"color:black;\"\u003eAlanine transaminase\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58.5pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eALT\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 0.75in;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 603pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003eAlanine aminotransferase (ALT) is a biomarker, which indicates liver damage from different types of disease and conditions. It that is used as a clinical screening and monitoring tool to check for chronic alcohol use. ALT is an enzyme found mostly in the cells of the liver and kidney. When the liver is damaged, ALT is released into the blood. \u0026nbsp;Elevated ALT in laboratory tests is indicative of heavy alcohol consumption and often used to detect relapses.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 139.25pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin-left:.25in;\"\u003e\u003cspan style=\"color:black;\"\u003eAspartate transaminase\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58.5pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eAST\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 0.75in;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e31\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 603pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003eAspartate transaminase (AST) is a biomarker, which indicates liver damage from different types of disease and conditions. It that is used as a clinical screening and monitoring tool to check for chronic alcohol use. The concentrations of AST in the serum are normally low. However, if the liver is damaged, the liver cell (hepatocyte) membrane becomes more permeable and some of the enzymes leak out into the blood circulation. Elevated AST in laboratory tests are indicative of chronic alcohol abuse\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 139.25pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin-left:.25in;\"\u003e\u003cspan style=\"color:black;\"\u003eAspartate transaminase, Alanine transaminase ratio\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58.5pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eAST/ALT\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 0.75in;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 603pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003eAST and ALT are considered to be two of the most important tests to detect liver injury. The ALT: AST ratio is normally and in other condition is less than 1, but becomes greater than unity during liver injury. Elevated AST/ALT in laboratory tests are indicative of chronic alcohol abuse.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 139.25pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin-left:.25in;\"\u003e\u003cspan style=\"color:black;\"\u003eBlood alcohol concentration\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58.5pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eBAC\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 0.75in;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 603pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003eBlood Alcohol Concentration (BAC) levels represent the percent of your blood that is concentrated with alcohol. It is most commonly used as a metric of alcohol intoxication for legal or medical purposes. Its primary goal is to determine if alcohol has been consumed.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 139.25pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin-left:.25in;\"\u003e\u003cspan style=\"color:black;\"\u003eCarbohydrate deficient transferrin\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58.5pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eCDT\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 0.75in;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 603pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003eCarbohydrate-deficient transferrin (CDT) is an alcohol biomarker that is used as a clinical screening and monitoring tool to identify heavy drinking. Transferrin is glycoprotein produced in the liver that normally has 3-5 carbohydrate sidechains. Heavy alcohol use, however, inhibits the enzymes involved to appropriately regulate these sidechains; causing the transferrin to be carbohydrate deficient. Laboratory blood test can detect elevated levels of CDT (%CDT), which are indicative of heavy alcohol consumption and often used to detect relapses.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 139.25pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin-left:.25in;\"\u003e\u003cspan style=\"color:black;\"\u003eCDTech\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58.5pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eCDTech\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 0.75in;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 603pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003eDescription: CDTect is a common method of using carbohydrate-deficient transferrin (CDT) to screen for heavy alcohol use.\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 139.25pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin-left:.25in;\"\u003e\u003cspan style=\"color:black;\"\u003eCarbohydrate deficient transferrin + Mean corpuscular volume\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58.5pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eCDT + MCV\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 0.75in;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 603pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003eCarbohydrate-deficient transferrin (CDT) and Mean corpuscular volume (MCV) are two biomarkers commonly used to screen for heavy drinking. MCV is the average volume of blood cells, which increase in size after 4 to 8 weeks of excessive alcohol intake. CDT is transferrin, a glycoprotein produced in the liver that has become carbohydrate deficient. Heavy alcohol use prevents enzymes from properly regulating the carbohydrate side chains in transferrin, thus increasing the value of carbohydrate-deficient transferrin. Using the combined biomarkers of CDT and MCV, a patient must exceed the cut-off of both biomarkers to be screened positive.\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 139.25pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin-left:.25in;\"\u003e\u003cspan style=\"color:black;\"\u003eGamma-Glutamyl Transferase\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58.5pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eGGT\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 0.75in;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e68\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 603pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003eGamma-Glutamyl Transferase (GGT) is an enzyme that when elevated in serum is reflective of liver damage. Subsequently, clinical laboratory GGT tests are commonly used to detect and monitor excessive alcohol consumption. \u0026nbsp;Elevated GGT levels typically correspond with continuous and chronic alcohol abuse as opposed to episodic heavy drinking.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 139.25pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin-left:.25in;\"\u003e\u003cspan style=\"color:black;\"\u003eGamma-Glutamyl Transferase + Mean corpuscular volume\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58.5pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eGGT + MCV\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 0.75in;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 603pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003eGamma-Glutamyl Transferase (GGT) and Mean corpuscular volume\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e(MCV) are two biomarkers commonly used in screening heavy alcohol intake. GGT is a type of enzyme that, when elevated in serum, is reflective of liver damage. MCV is the average volume of red blood cells, which increases after 4 to 8 weeks of excessive drinking. Used in combination, a patient must exceed the cut-offs for both GGT and MCV in order to be screened positive.\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 139.25pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin-left:.25in;\"\u003e\u003cspan style=\"color:black;\"\u003eEthyl glucuronide\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58.5pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eEtG\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 0.75in;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 603pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003eEthyl glucuronide (EtG) is a byproduct of the body’s metabolization of alcohol, and can be detected in the hair for up to 90 days. Compared to a blood or urine analysis, a hair analysis for EtG provides a much longer window of detection for heavy alcohol consumption.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 139.25pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin-left:.25in;\"\u003e\u003cspan style=\"color:black;\"\u003eMean corpuscular volume\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58.5pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eMCV\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 0.75in;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e51\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 603pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003eMean corpuscular volume (MCV) is the average volume of red blood cells, measured by multiplying a volume of blood by the proportion of the blood that is cellular, and then dividing the product by the number of red blood cells within that sample. The size of red blood cells increase after 4 to 8 weeks of excessive alcohol intake, making MCV effective as an alcohol biomarker. MCV is not very sensitive as a standalone measure or specific in detecting alcohol relapse, as it is slow to return to a normal value. It is, however, an easy and affordable method of testing.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 139.25pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin-left:.25in;\"\u003e\u003cspan style=\"color:black;\"\u003ePhosphatidylethanol\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 58.5pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003ePEth\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 0.75in;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 603pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003ePhosphatidylethanol (PEth), a commonly used alcohol biomarker, is an abnormal group of phospholipids that are formed in red blood cells only in the presence of alcohol. Clinical laboratory tests can identify the presence of PEth in blood, which is indicative of alcohol abuse. PEth testing is a popular detection tool for heavy alcohol consumption because it is considered a direct biomarker for ethanol and has 99% sensitivity.\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"4\" style=\"width: 854.75pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 15pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003eNote:*Some studies contributed more than one data point/were comprised of more than on study populations. References for studies, by scale/measure, are presented in Supplementary Table 2.\u003c/span\u003e\u003c/p\u003e\u003cbr\u003e\u003cbr\u003e\n\u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cstrong\u003e\u003cu\u003eTable 2. Pooled Summary Estimates\u003c/u\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003ctable style=\"width: 1224;margin-left:-.25pt;border-collapse:collapse;border:none;\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:179.6pt;border:solid windowtext 1.0pt;background:#DEEAF6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\u003cstrong\u003e\u003cu\u003e\u003cspan style=\"font-size:12px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\n \u003cbr\u003e\u0026nbsp;\n \u003c/span\u003e\u003c/u\u003e\u003c/strong\u003e\u0026nbsp;\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cstrong\u003e\u003cu\u003e\u003cspan style=\"font-size:12px;color:black;\"\u003eSelf-Reported\u0026nbsp;\u003c/span\u003e\u003c/u\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:12px;color:black;\"\u003eScale/Measure\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:62.8pt;border:solid windowtext 1.0pt;border-left:none;background:#DEEAF6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:12px;color:black;\"\u003eScale Abbreviation\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"4\" style=\"width:108.6pt;border:solid windowtext 1.0pt;border-left:none;background:#DEEAF6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:12px;color:black;\"\u003ePooled \u003cstrong\u003eAlpha\u003c/strong\u003e ; 95%CI\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"4\" style=\"width:117.0pt;border:solid windowtext 1.0pt;border-left:none;background: #DEEAF6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:12px;color:black;\"\u003ePooled\u003cstrong\u003e\u0026nbsp;Kappa\u003c/strong\u003e ; 95%CI\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"4\" style=\"width:112.0pt;border:solid windowtext 1.0pt;border-left:none;background: #DEEAF6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:12px;color:black;\"\u003ePooled \u003cstrong\u003eSensitivity\u003c/strong\u003e; 95%CI\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"4\" style=\"width:112.75pt;border:solid windowtext 1.0pt;border-left:none;background: #DEEAF6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:12px;color:black;\"\u003ePooled\u003cstrong\u003e\u0026nbsp;Specificity\u003c/strong\u003e; 95%CI\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"4\" style=\"width:112.75pt;border:solid windowtext 1.0pt;border-left:none;background: #DEEAF6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:12px;color:black;\"\u003ePooled \u003cstrong\u003ePPV\u003c/strong\u003e; 95%CI\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"4\" style=\"width:112.5pt;border:solid windowtext 1.0pt;border-left:none;background: #DEEAF6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:12px;color:black;\"\u003ePooled \u003cstrong\u003eNPV\u003c/strong\u003e; 95%CI\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:179.6pt;border:solid windowtext 1.0pt;border-top:none;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eAlcohol Dependence Scale\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:62.8pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eADS\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.3pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.897\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.3pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:right;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.800\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.2pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background: #E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.993\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.6pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:22.5pt;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:29.5pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:35.3pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background: #E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.908\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.822\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.5pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background: #E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.955\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.25pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.794\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.25pt;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.671\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:36.45pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.879\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background: #E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:36.15pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:35.9pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:179.6pt;border:solid windowtext 1.0pt;border-top:none;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eAddiction Severity Index\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:62.8pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eASI\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.3pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.837\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.3pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:right;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.809\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.2pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background: #E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.866\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.6pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp 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style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.877\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background: #E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:36.15pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:35.9pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:179.6pt;border:solid windowtext 1.0pt;border-top:none;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eAddiction Severity Index-Drugs \u0026nbsp;(drugs sub-scale)\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:62.8pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eASI-D\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.3pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.684\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.3pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:right;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.627\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.2pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background: #E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.742\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.6pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:22.5pt;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:29.5pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:35.3pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background: #E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.839\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.753\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.5pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background: #E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.899\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.25pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.854\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.25pt;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.766\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:36.45pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.913\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background: #E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:36.15pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:35.9pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:179.6pt;border:solid windowtext 1.0pt;border-top:none;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eThe Alcohol, Smoking, and Substance Involvement Screening Test\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:62.8pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eASSIST\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.3pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.854\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.3pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:right;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.804\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.2pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background: #E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.905\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.6pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:22.5pt;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:29.5pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:35.3pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background: #E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.834\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.799\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.5pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background: #E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.868\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.25pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.726\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.25pt;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.570\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:36.45pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.882\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background: #E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:36.15pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:35.9pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:179.6pt;border:solid windowtext 1.0pt;border-top:none;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eAlcohol Use Disorders Identification Test\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:62.8pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eAUDIT\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.3pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.847\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.3pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:right;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.829\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.2pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background: #E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.865\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.6pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.461\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.253\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:22.5pt;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:29.5pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.669\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:35.3pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background: #E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.860\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp 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style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.953\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:179.6pt;border:solid windowtext 1.0pt;border-top:none;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eAlcohol Use Disorders Identification Test-3\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:62.8pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp 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style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.895\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background: #E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.631\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.491\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:36.15pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.771\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.940\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.902\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:35.9pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.979\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:179.6pt;border:solid windowtext 1.0pt;border-top:none;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eAlcohol Use Disorders Identification Test-C\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:62.8pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eAUDIT-C\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.3pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.748\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.3pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:right;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.695\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.2pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background: #E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.802\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.6pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.410\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.386\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:22.5pt;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:29.5pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.433\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:35.3pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background: #E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.874\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.843\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.5pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background: #E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.900\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.25pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.842\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.25pt;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.811\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:36.45pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.870\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background: #E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.496\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.390\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:36.15pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.602\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.878\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.834\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:35.9pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.923\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:179.6pt;border:solid windowtext 1.0pt;border-top:none;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eBrief Michigan Alcoholism Screening Test\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:62.8pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eB-MAST\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.3pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.3pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:right;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.2pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background: #E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp 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style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:179.6pt;border:solid windowtext 1.0pt;border-top:none;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eComposite International Diagnostic Interview,version 2.1\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:62.8pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eCIDI, version 2.1\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.3pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eNA\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.3pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:right;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.2pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background: #E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.6pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;background:yellow;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:22.5pt;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:29.5pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:35.3pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background: #E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:12px;color:black;\"\u003e0.749\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:12px;color:black;\"\u003e0.686\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:12px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.5pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background: #E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:12px;color:black;\"\u003e0.812\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.25pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:12px;\"\u003e0.842\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.25pt;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:12px;\"\u003e0.689\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:12px;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:36.45pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:12px;\"\u003e0.995\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background: #E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:36.15pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:35.9pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:179.6pt;border:solid windowtext 1.0pt;border-top:none;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eComposite International Diagnostic Interview, \u0026nbsp;version 3\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:62.8pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eCIDI, version 3\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.3pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eNA\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.3pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:right;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.2pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background: #E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.6pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp 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style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.343\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:36.15pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.799\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.857\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.449\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:35.9pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e1.00\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:179.6pt;border:solid windowtext 1.0pt;border-top:none;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eDrug Abuse Screen Test\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:62.8pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eDAST\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.3pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.937\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.3pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:right;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.927\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.2pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background: #E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.947\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.6pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.832\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.577\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:22.5pt;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:29.5pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e1.0\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:35.3pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background: #E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.847\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.740\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.5pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background: #E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.915\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.25pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.844\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.25pt;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.679\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:36.45pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.932\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background: #E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.510\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.323\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:36.15pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.698\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.946\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.892\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:35.9pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.999\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:179.6pt;border:solid windowtext 1.0pt;border-top:none;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eDrug Abuse Screen Test - 10 item\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:62.8pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eDAST-10\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.3pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.785\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.3pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:right;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.678\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.2pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background: #E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.892\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.6pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:22.5pt;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:29.5pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:35.3pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background: #E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.902\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.748\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.5pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background: #E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.966\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.25pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.81 8\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.25pt;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.716\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:36.45pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.889\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background: #E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.803\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.695\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:36.15pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.910\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.864\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.813\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:35.9pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.914\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:179.6pt;border:solid windowtext 1.0pt;border-top:none;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eDrug Use Disorders Identification Test\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:62.8pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eDUDIT\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.3pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.922\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.3pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:right;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.895\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.2pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background: #E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.950\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.6pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:22.5pt;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:29.5pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:35.3pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background: #E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.932\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.887\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.5pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background: #E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp 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style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.302\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:36.15pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.713\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.878\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.816\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:35.9pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.940\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:179.6pt;border:solid windowtext 1.0pt;border-top:none;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eProblem Oriented Screening Instrument for Teenagers\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:62.8pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003ePOSIT\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.3pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.857\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.3pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:right;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.730\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.2pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background: #E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.984\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.6pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.881\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.817\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:22.5pt;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:29.5pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.945\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:35.3pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background: #E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.842\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.722\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.5pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background: #E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.962\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.25pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.823\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.25pt;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.745\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:36.45pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.902\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background: #E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:36.15pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:35.9pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:179.6pt;border:solid windowtext 1.0pt;border-top:none;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eSelf-Administered Alcoholism Screening Test\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:62.8pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eSAAST\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.3pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.889\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.3pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:right;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.791\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.2pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background: #E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.987\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.6pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp 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style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.606\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.880\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.704\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:35.9pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e1.0\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:179.6pt;border:solid windowtext 1.0pt;border-top:none;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eThe Chemical Use, Abuse, and Dependence\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:62.8pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eCUAD\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.3pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.962\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.3pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:right;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.940\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.2pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background: #E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.983\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.6pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:22.5pt;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:29.5pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:35.3pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background: #E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.5pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background: #E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.25pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.25pt;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:36.45pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background: #E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:36.15pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:35.9pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:179.6pt;border:solid windowtext 1.0pt;border-top:none;background:#FBE4D5;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\u003cstrong\u003e\u003cu\u003e\u003cspan style=\"font-size:12px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;color:black;\"\u003e\n \u003cbr\u003e\u0026nbsp;\n \u003c/span\u003e\u003c/u\u003e\u003c/strong\u003e\u0026nbsp;\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cstrong\u003e\u003cu\u003e\u003cspan style=\"font-size:12px;color:black;\"\u003eBiomarkers\u0026nbsp;\u003c/span\u003e\u003c/u\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:62.8pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background:#FBE4D5;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;\"\u003e\u003cspan style=\"font-size:12px;color:black;\"\u003eAbbreviation\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"4\" style=\"width:108.6pt;border-top:none;border-left: none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background:#FBE4D5;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;\"\u003e\u003cspan style=\"font-size:12px;color:black;\"\u003ePooled \u003cstrong\u003eAlpha\u003c/strong\u003e ; 95%CI\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"4\" style=\"width:117.0pt;border-top:none;border-left: none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background:#FBE4D5;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:12px;color:black;\"\u003ePooled\u003cstrong\u003e\u0026nbsp;Kappa\u003c/strong\u003e ; 95%CI\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"4\" style=\"width:112.0pt;border-top:none;border-left: none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background:#FBE4D5;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:12px;color:black;\"\u003ePooled \u003cstrong\u003eSensitivity\u003c/strong\u003e; 95%CI\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"4\" style=\"width:112.75pt;border-top:none;border-left: none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background:#FBE4D5;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:12px;color:black;\"\u003ePooled\u003cstrong\u003e\u0026nbsp;Specificity\u003c/strong\u003e; 95%CI\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"4\" style=\"width:112.75pt;border-top:none;border-left: none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background:#FBE4D5;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:12px;color:black;\"\u003ePooled \u003cstrong\u003ePPV\u003c/strong\u003e; 95%CI\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"4\" style=\"width:112.5pt;border-top:none;border-left: none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background:#FBE4D5;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:12px;color:black;\"\u003ePooled \u003cstrong\u003eNPV\u003c/strong\u003e; 95%CI\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:179.6pt;border:solid windowtext 1.0pt;border-top:none;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e% Carbohydrate deficient transferrin\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:62.8pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e%CDT\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.3pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eNA\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.3pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:right;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.2pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background: #E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.6pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eNA\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:22.5pt;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:29.5pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:35.3pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background: #E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.565\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.471\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.5pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background: #E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.654\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.25pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.913\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.25pt;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.884\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:36.45pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.936\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background: #E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.580\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.377\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:36.15pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.783\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.850\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.782\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:35.9pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.918\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:179.6pt;border:solid windowtext 1.0pt;border-top:none;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eAlanine transaminase\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:62.8pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp 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style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.6pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eNA\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp 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style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.719\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:36.45pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.871\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background: #E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.596\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.145\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:36.15pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp 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style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.518\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:35.9pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.856\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:179.6pt;border:solid windowtext 1.0pt;border-top:none;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eCarbohydrate deficient transferrin\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:62.8pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eCDT\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.3pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eNA\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.3pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp 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style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.367\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:36.15pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.669\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.795\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.614\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:35.9pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.975\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:179.6pt;border:solid windowtext 1.0pt;border-top:none;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eCarbohydrate deficient transferrin + Mean corpuscular volume\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:62.8pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eCDT + MCV\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.3pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eNA\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.3pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:right;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.2pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background: #E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.6pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eNA\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:22.5pt;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:29.5pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:35.3pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background: #E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.742\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.599\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.5pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background: #E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.884\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.25pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.928\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.25pt;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.908\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:36.45pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.947\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background: #E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.741\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.509\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:36.15pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.974\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.917\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.826\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:35.9pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e1.00\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:179.6pt;border:solid windowtext 1.0pt;border-top:none;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eGamma-Glutamyl Transferase\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:62.8pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eGGT\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.3pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eNA\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.3pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:right;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.2pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background: #E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.6pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eNA\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:22.5pt;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:29.5pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:35.3pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background: #E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.571\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.502\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.5pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background: #E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.638\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.25pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.827\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.25pt;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.782\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:36.45pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.865\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background: #E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.430\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.351\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:36.15pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.509\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.819\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.701\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:35.9pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.937\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:179.6pt;border:solid windowtext 1.0pt;border-top:none;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eGamma-Glutamyl Transferase + Mean corpuscular volume\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:62.8pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eGGT + MCV\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.3pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eNA\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.3pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:right;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.2pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background: #E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.6pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eNA\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:22.5pt;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:29.5pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:35.3pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background: #E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.641\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.377\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.5pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background: #E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp 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style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.779\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:35.9pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.935\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:179.6pt;border:solid windowtext 1.0pt;border-top:none;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eMean corpuscular volume\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:62.8pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eMCV\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.3pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eNA\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.3pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:right;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.2pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background: #E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.6pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eNA\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:22.5pt;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:29.5pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp 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style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.330\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.5pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background: #E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.453\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.25pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.905\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.25pt;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.878\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:36.45pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp 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style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.362\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:36.15pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.589\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.794\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.728\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:35.9pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.860\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width:179.6pt;border:solid windowtext 1.0pt;border-top:none;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003ePhosphatidylethanol\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:62.8pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003ePEth\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.3pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eNA\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.3pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:right;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.2pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background: #E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.6pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eNA\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:22.5pt;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:29.5pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:35.3pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background: #E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.871\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.787\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.5pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background: #E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e0.956\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.25pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.939\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:32.25pt;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.905\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:36.45pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e0.973\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background: #E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:36.15pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background:#E7E6E6;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:.45in;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:11.8pt;border:none;border-bottom:solid windowtext 1.0pt;padding:0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;color:black;\"\u003e-\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:35.9pt;border-top:none;border-left:none;border-bottom: solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;padding: 0in 5.4pt 0in 5.4pt;height:15.0pt;\"\u003e\n \u003cp style=\"margin-right:0in;margin-left:0in;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin:0in;margin-bottom:.0001pt;text-align:center;\"\u003e\u003cspan style=\"font-size:11px;\"\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\n \u003cbr\u003e\n\u003c/p\u003e\n\u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003eNote: For biomarker measures, alpha is not calculated, therefore this estimate is not applicable (NA). Measures with less than 2 studies have ID for meta-analyses (ID).\u003c/span\u003e\u003c/p\u003e\u003cbr\u003e\u003cbr\u003e\n\u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\n \u003cbr\u003e\n\u003c/p\u003e\n\u003ctable style=\"width: 1145;border: none;margin-left:4.65pt;border-collapse:collapse;\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"8\" style=\"width: 859.1pt;border: 1pt solid windowtext;background: rgb(231, 230, 230);padding: 0in 5.4pt;height: 14pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cstrong\u003e\u003cspan style=\"color:black;\"\u003eTable 3.\u003c/span\u003e\u003c/strong\u003e\u003cspan style=\"color:black;\"\u003e\u0026nbsp;\u003cstrong style=\"font-weight: 700; color: rgb(0, 0, 0); font-family: Calibri, sans-serif; font-size: 15px; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; text-decoration-style: initial; text-decoration-color: initial;\"\u003eQualitative Interpretation of Pooled Estimates\u003c/strong\u003e\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 305.6pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;background: rgb(222, 234, 246);padding: 0in 5.4pt;height: 14pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cstrong\u003e\u003cspan style=\"color:black;\"\u003eSelf-Reported Scale/Measure name\u003c/span\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(222, 234, 246);padding: 0in 5.4pt;height: 14pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cstrong\u003e\u003cspan style=\"color:black;\"\u003eScale Abbreviation\u003c/span\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(222, 234, 246);padding: 0in 5.4pt;height: 14pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cstrong\u003e\u003cspan style=\"color:black;\"\u003eAlpha\u003c/span\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(222, 234, 246);padding: 0in 5.4pt;height: 14pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cstrong\u003e\u003cspan style=\"color:black;\"\u003eKappa\u003c/span\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(222, 234, 246);padding: 0in 5.4pt;height: 14pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cstrong\u003e\u003cspan style=\"color:black;\"\u003eSensitivity\u003c/span\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(222, 234, 246);padding: 0in 5.4pt;height: 14pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cstrong\u003e\u003cspan style=\"color:black;\"\u003eSpecificity\u003c/span\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(222, 234, 246);padding: 0in 5.4pt;height: 14pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cstrong\u003e\u003cspan style=\"color:black;\"\u003ePPV\u003c/span\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(222, 234, 246);padding: 0in 5.4pt;height: 14pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cstrong\u003e\u003cspan style=\"color:black;\"\u003eNPV\u003c/span\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 305.6pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 14pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003eAlcohol Dependence Scale\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 14pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003eADS\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 14pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003egood\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 14pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 14pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003eexcellent\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(255, 235, 156);padding: 0in 5.4pt;height: 14pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#9C6500;\"\u003emoderate\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 14pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 14pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 305.6pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 14pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003eAddiction Severity Index\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 14pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003eASI\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(255, 235, 156);padding: 0in 5.4pt;height: 14pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#9C6500;\"\u003emoderate\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 14pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 14pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 14pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 14pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 14pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 305.6pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 13.9pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003eAddiction Severity Index-Alcohol (alcohol sub-scale)\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 13.9pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003eASI-A\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(255, 235, 156);padding: 0in 5.4pt;height: 13.9pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#9C6500;\"\u003efair\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 13.9pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 13.9pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003egood\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(255, 235, 156);padding: 0in 5.4pt;height: 13.9pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#9C6500;\"\u003emoderate\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 13.9pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 13.9pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 305.6pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 13pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003eAddiction Severity Index-Drugs \u0026nbsp; \u0026nbsp; (drugs sub-scale)\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 13pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003eASI-D\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(255, 199, 206);padding: 0in 5.4pt;height: 13pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#9C0006;\"\u003eunsatisfactory\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 13pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 13pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003egood\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 13pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003egood\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 13pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 13pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 305.6pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 8.5pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003eThe Alcohol, Smoking, and Substance Involvement Screening Test\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 8.5pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003eASSIST\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 8.5pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003egood\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 8.5pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 8.5pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003egood\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(255, 235, 156);padding: 0in 5.4pt;height: 8.5pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#9C6500;\"\u003emoderate\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 8.5pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 8.5pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 305.6pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 16.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003eAlcohol Use Disorders Identification Test\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 16.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003eAUDIT\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(255, 235, 156);padding: 0in 5.4pt;height: 16.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#9C6500;\"\u003emoderate\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(255, 199, 206);padding: 0in 5.4pt;height: 16.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#9C0006;\"\u003eunsatisfactory\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 16.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003egood\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 16.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003egood\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(255, 235, 156);padding: 0in 5.4pt;height: 16.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#9C6500;\"\u003emoderate\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 16.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003eexcellent\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 305.6pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 13.9pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003eAlcohol Use Disorders Identification Test-3\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 13.9pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003eAUDIT-3\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 13.9pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eN/A\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 13.9pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 13.9pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003egood\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 13.9pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003egood\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(255, 235, 156);padding: 0in 5.4pt;height: 13.9pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#9C6500;\"\u003emoderate\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 13.9pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003eexcellent\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 305.6pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 16.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003eAlcohol Use Disorders Identification Test-C\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 16.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003eAUDIT-C\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(255, 235, 156);padding: 0in 5.4pt;height: 16.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#9C6500;\"\u003efair\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(255, 199, 206);padding: 0in 5.4pt;height: 16.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#9C0006;\"\u003eunsatisfactory\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 16.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003egood\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 16.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003egood\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(255, 199, 206);padding: 0in 5.4pt;height: 16.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#9C0006;\"\u003elow\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 16.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003egood\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 305.6pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 13.9pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003eBrief Michigan Alcoholism Screening Test\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 13.9pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003eB-MAST\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 13.9pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eN/A\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 13.9pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(255, 199, 206);padding: 0in 5.4pt;height: 13.9pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#9C0006;\"\u003elow\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 13.9pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003eexcellent\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(255, 235, 156);padding: 0in 5.4pt;height: 13.9pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#9C6500;\"\u003emoderate\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 13.9pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003eexcellent\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 305.6pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 11.65pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003eCut down, Annoyed, Guilty, Eye-opener\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 11.65pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003eCAGE\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(255, 199, 206);padding: 0in 5.4pt;height: 11.65pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#9C0006;\"\u003eunsatisfactory\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(255, 199, 206);padding: 0in 5.4pt;height: 11.65pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#9C0006;\"\u003eunsatisfactory\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(255, 235, 156);padding: 0in 5.4pt;height: 11.65pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#9C6500;\"\u003emoderate\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 11.65pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003egood\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(255, 199, 206);padding: 0in 5.4pt;height: 11.65pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#9C0006;\"\u003elow\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 11.65pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003eexcellent\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 305.6pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 16.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003eComposite International Diagnostic Interview, original\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 16.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003eCIDI\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 16.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eN/A\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(255, 235, 156);padding: 0in 5.4pt;height: 16.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#9C6500;\"\u003emoderate\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 16.6pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 16.6pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 16.6pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 16.6pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 305.6pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 8.5pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003eComposite International Diagnostic Interview, version 2.1\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 8.5pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;margin-right:-21.3pt;\"\u003e\u003cspan style=\"color:black;\"\u003eCIDI, version 2.1\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 8.5pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eN/A\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 8.5pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(255, 235, 156);padding: 0in 5.4pt;height: 8.5pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#806000;\"\u003emoderate\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 8.5pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003egood\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 8.5pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 8.5pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 305.6pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 8.5pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003eComposite International Diagnostic Interview, version 3l\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 8.5pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003eCIDI, version 3\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 8.5pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eN/A\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 8.5pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 8.5pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003eexcellent\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 8.5pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003eexcellent\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 8.5pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003eexcellent\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 8.5pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003eexcellent\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 305.6pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 8.5pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003eCar, Relax, Alone, Forget, Friends, Trouble\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 8.5pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003eCRAFFT\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(255, 199, 206);padding: 0in 5.4pt;height: 8.5pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#9C0006;\"\u003eunsatisfactory\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 8.5pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 8.5pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003egood\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(255, 235, 156);padding: 0in 5.4pt;height: 8.5pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#9C6500;\"\u003emoderate\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(255, 199, 206);padding: 0in 5.4pt;height: 8.5pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#9C0006;\"\u003elow\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 8.5pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003egood\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 305.6pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 14pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003eDrug Abuse Screen Test\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 14pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003eDAST\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 14pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003eexcellent\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(255, 235, 156);padding: 0in 5.4pt;height: 14pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#9C6500;\"\u003emoderate\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 14pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003egood\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 14pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003egood\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(255, 199, 206);padding: 0in 5.4pt;height: 14pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#9C0006;\"\u003elow\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 14pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003eexcellent\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 305.6pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 11.65pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003eDrug Abuse Screen Test - 10 item\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 11.65pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003eDAST-10\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(255, 235, 156);padding: 0in 5.4pt;height: 11.65pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#9C6500;\"\u003efair\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 11.65pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 11.65pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003eexcellent\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 11.65pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003egood\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 11.65pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003egood\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 11.65pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003egood\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 305.6pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 10.75pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003eDrug Use Disorders Identification Test\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 10.75pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003eDUDIT\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 10.75pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003eexcellent\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 10.75pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 10.75pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003eexcellent\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(255, 235, 156);padding: 0in 5.4pt;height: 10.75pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#9C6500;\"\u003emoderate\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(255, 235, 156);padding: 0in 5.4pt;height: 10.75pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#9C6500;\"\u003emoderate\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 10.75pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003eexcellent\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 305.6pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 16.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003eMichigan Alcohol Screening Test\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 16.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003eMAST\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(255, 235, 156);padding: 0in 5.4pt;height: 16.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#9C6500;\"\u003emoderate\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(255, 199, 206);padding: 0in 5.4pt;height: 16.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#9C0006;\"\u003eunsatisfactory\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(255, 235, 156);padding: 0in 5.4pt;height: 16.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#9C6500;\"\u003emoderate\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 16.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003egood\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(255, 199, 206);padding: 0in 5.4pt;height: 16.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#9C0006;\"\u003elow\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 16.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003egood\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 305.6pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 15.25pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003eProblem Oriented Screening Instrument for Teenagers\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 15.25pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003ePOSIT\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 15.25pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003egood\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 15.25pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 15.25pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003egood\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 15.25pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003egood\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 15.25pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 15.25pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 305.6pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 16.15pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003eSelf-Administered Alcoholism Screening Test \u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 16.15pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003eSAAST\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 16.15pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003egood\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 16.15pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(255, 199, 206);padding: 0in 5.4pt;height: 16.15pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#9C0006;\"\u003elow\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 16.15pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003egood\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(255, 199, 206);padding: 0in 5.4pt;height: 16.15pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#9C0006;\"\u003elow\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 16.15pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003eexcellent\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 305.6pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 18.85pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003eSemi-Structured Assessment for Drug Dependence and Alcoholism\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 18.85pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003eSSADDA\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(255, 199, 206);padding: 0in 5.4pt;height: 18.85pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#9C0006;\"\u003eunsatisfactory\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(255, 235, 156);padding: 0in 5.4pt;height: 18.85pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#9C6500;\"\u003emoderate\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:79.05pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background:#404040;padding:0in 5.4pt 0in 5.4pt;height:18.85pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:79.1pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background:#404040;padding:0in 5.4pt 0in 5.4pt;height:18.85pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width:79.05pt;border-top:none;border-left:none;border-bottom:solid windowtext 1.0pt;border-right:solid windowtext 1.0pt;background:#404040;padding:0in 5.4pt 0in 5.4pt;height:18.85pt;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 18.85pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 305.6pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 14pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003eSeverity of Dependence\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 14pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003eSDS\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 14pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003egood\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 14pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 14pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003egood\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 14pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003egood\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 14pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003egood\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 14pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003egood\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 305.6pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 11.65pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003eTolerance-Annoyance Cut Down Eye Opener\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 11.65pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003eTACE\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(255, 199, 206);padding: 0in 5.4pt;height: 11.65pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#9C0006;\"\u003eunsatisfactory\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 11.65pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 11.65pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003egood\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(255, 235, 156);padding: 0in 5.4pt;height: 11.65pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#9C6500;\"\u003emoderate\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(255, 199, 206);padding: 0in 5.4pt;height: 11.65pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#9C0006;\"\u003elow\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 11.65pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003egood\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 305.6pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 14pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003eTimeline \u0026nbsp;Followback\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 14pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003eTLFB\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 14pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eN/A\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 14pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003egood\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(255, 235, 156);padding: 0in 5.4pt;height: 14pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#9C6500;\"\u003emoderate\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 14pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003eexcellent\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 14pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 14pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 305.6pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 13.9pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003eTolerance, Worried, Eye-Opener, Amnesia, Cut down\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 13.9pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003eTWEAK\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(255, 199, 206);padding: 0in 5.4pt;height: 13.9pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#9C0006;\"\u003eunsatisfactory\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 13.9pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 13.9pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003egood\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 13.9pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003egood\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(255, 199, 206);padding: 0in 5.4pt;height: 13.9pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#9C0006;\"\u003elow\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 13.9pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003egood\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 305.6pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003eThe Chemical Use, Abuse, and Dependence\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003eCUAD\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(226, 239, 217);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003eexcellent\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 7.6pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 7.6pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 7.6pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 7.6pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 7.6pt;vertical-align: top;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 305.6pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;background: rgb(251, 228, 213);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cstrong\u003e\u003cspan style=\"color:black;\"\u003eBiomarker name\u003c/span\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(251, 228, 213);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cstrong\u003e\u003cspan style=\"color:black;\"\u003eScale Abbreviation\u003c/span\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(251, 228, 213);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cstrong\u003e\u003cspan style=\"color:black;\"\u003eAlpha\u003c/span\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(251, 228, 213);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cstrong\u003e\u003cspan style=\"color:black;\"\u003eKappa\u003c/span\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(251, 228, 213);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cstrong\u003e\u003cspan style=\"color:black;\"\u003eSensitivity\u003c/span\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(251, 228, 213);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cstrong\u003e\u003cspan style=\"color:black;\"\u003eSpecificity\u003c/span\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(251, 228, 213);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cstrong\u003e\u003cspan style=\"color:black;\"\u003ePPV\u003c/span\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(251, 228, 213);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cstrong\u003e\u003cspan style=\"color:black;\"\u003eNPV\u003c/span\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 305.6pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003e-% Carbohydrate deficient transferrin\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003e%CDT\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eN/A\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eN/A\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(255, 199, 206);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#9C0006;\"\u003elow\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003eexcellent\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(255, 199, 206);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#9C0006;\"\u003elow\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003egood\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 305.6pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003e-Alanine transaminase\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003eALT\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eN/A\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eN/A\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(255, 199, 206);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#9C0006;\"\u003elow\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003egood\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(255, 199, 206);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#9C0006;\"\u003elow\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(255, 235, 156);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#9C6500;\"\u003emoderate\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 305.6pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003e-Aspartate transaminase\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003eAST\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eN/A\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eN/A\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(255, 199, 206);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#9C0006;\"\u003elow\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003egood\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(255, 199, 206);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#9C0006;\"\u003elow\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(255, 235, 156);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#9C6500;\"\u003emoderate\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 305.6pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003e-Aspartate transaminase, Alanine transaminase ratio\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003eAST/ALT\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eN/A\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eN/A\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(255, 199, 206);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#9C0006;\"\u003elow\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(255, 235, 156);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#9C6500;\"\u003emoderate\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eN/A\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eN/A\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 305.6pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003e-Blood alcohol concentration\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003eBAC\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eN/A\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eN/A\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(255, 235, 156);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#9C6500;\"\u003emoderate\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(255, 235, 156);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#9C6500;\"\u003emoderate\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(255, 199, 206);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#9C0006;\"\u003elow\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(255, 235, 156);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#9C6500;\"\u003emoderate\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 305.6pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003e-Carbohydrate deficient transferrin\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003eCDT\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eN/A\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eN/A\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(255, 199, 206);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#9C0006;\"\u003elow\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003eexcellent\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003egood\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(255, 235, 156);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#9C6500;\"\u003emoderate\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 305.6pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003e-CDTech\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003eCDTech\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eN/A\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eN/A\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(255, 199, 206);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#9C0006;\"\u003elow\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003egood\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(255, 199, 206);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#9C0006;\"\u003elow\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(255, 235, 156);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#9C6500;\"\u003emoderate\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 305.6pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003e-Carbohydrate deficient transferrin + Mean corpuscular volume\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003eCDT + MCV\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eN/A\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eN/A\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(255, 235, 156);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#9C6500;\"\u003emoderate\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003eexcellent\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(255, 235, 156);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#9C6500;\"\u003emoderate\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003eexcellent\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 305.6pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003e-Gamma-Glutamyl Transferase\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003eGGT\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eN/A\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eN/A\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(255, 199, 206);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#9C0006;\"\u003elow\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003egood\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(255, 199, 206);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#9C0006;\"\u003elow\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003egood\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 305.6pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003e-Gamma-Glutamyl Transferase + Mean corpuscular volume\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003eGGT + MCV\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eN/A\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eN/A\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(255, 235, 156);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#9C6500;\"\u003emoderate\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003egood\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(255, 199, 206);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#9C0006;\"\u003elow\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003egood\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 305.6pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003e-Ethyl glucuronide\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003eEtG\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eN/A\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eN/A\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003egood\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003eexcellent\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(255, 235, 156);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#9C6500;\"\u003emoderate\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003egood\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd style=\"width: 305.6pt;border-right: 1pt solid windowtext;border-bottom: 1pt solid windowtext;border-left: 1pt solid windowtext;border-image: initial;border-top: none;padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003e-Mean corpuscular volume\u0026nbsp;\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\u003cspan style=\"color:black;\"\u003eMCV\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp 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style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eN/A\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eN/A\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003egood\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(198, 239, 206);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:#006100;\"\u003eexcellent\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.05pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 79.1pt;border-top: none;border-left: none;border-bottom: 1pt solid windowtext;border-right: 1pt solid windowtext;background: rgb(64, 64, 64);padding: 0in 5.4pt;height: 7.6pt;vertical-align: bottom;\"\u003e\n \u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;text-align:center;\"\u003e\u003cspan style=\"color:black;\"\u003eID\u003c/span\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003e\n \u003cbr\u003e\n\u003c/p\u003e\n\u003cp style=\"margin:0in;margin-bottom:.0001pt;font-size:15px;font-family:\u0026quot;Calibri\u0026quot;,sans-serif;\"\u003eNotes: Pooled summary estimates for alpha and kappa were classified as “excellent” for estimates that were \u0026gt;0.89, “good” for estimates that were between 0.85-0.89, “moderate” for estimates that were between 0.80-0.84, “fair” for estimates that were between 0.75-0.79, or “unsatisfactory” for estimates below 0.75, consistent with other studies (24, 39). Pooled summary estimates for sensitivity, \u0026nbsp; specificity, positive predictive value and negative predictive value were classified as “low” for estimates that were \u0026lt;0.6, “moderate” for estimates that were between 0.6-0.79, \u0026nbsp; “good” for estimates that were between 0.8-0.89 and “excellent” for estimates that were \u0026gt;0.89 (24, 40). N/A=not applicable. ID=Insufficient Data.\u003c/p\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"bmc-medical-research-methodology","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"bmrm","sideBox":"Learn more about [BMC Medical Research Methodology](http://bmcmedresmethodol.biomedcentral.com/)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/bmrm/default.aspx","title":"BMC Medical Research Methodology","twitterHandle":"BMC_series","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"em","reportingPortfolio":"BMC Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"Substance Use, Alcohol, Drugs, Psychometric Properties, Meta-Analysis","lastPublishedDoi":"10.21203/rs.2.13004/v2","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.2.13004/v2","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"Background Synthesis of psychometric properties of substance use measures to identify patterns of use and substance use disorders remains limited. To address this gap, we sought to systematically evaluate the psychometric properties of measures to detect substance use and misuse. Methods We conducted a systematic review and meta-analysis of literature on measures of substance classes associated with HIV risk (heroin, methamphetamine, cocaine, ecstasy, alcohol) that were published in English before June 2016 that reported at least one of the following psychometric outcomes of interest: internal consistency (alpha), test-retest/inter-rater reliability (kappa), sensitivity, specificity, positive predictive value, and negative predictive value. We used meta-analytic techniques to generate pooled summary estimates for these outcomes using random effects and hierarchical logistic regression models. Results Findings across 387 paper revealed that overall, 65% of pooled estimates for alpha were in the range of fair-to-excellent; 44% of estimates for kappa were in the range of fair-to-excellent. In addition, 69%, 97%, 37% and 96% of pooled estimates for sensitivity, specificity, positive predictive value, and negative predictive value, respectively, were in the range of moderate-to-excellent. Conclusion We conclude that many substance use measures had pooled summary estimates that were at the fair/moderate-to-excellent range across different psychometric outcomes. Most scales were conducted in English, within the United States, highlighting the need to test and validate these measures in more diverse settings. Additionally, the majority of studies had high risk of bias, indicating a need for more studies with higher methodological quality.","manuscriptTitle":"Psychometric Properties of Measures of substance use: A systematic review and meta-analysis of reliability, validity and diagnostic test accuracy","msid":"","msnumber":"","nonDraftVersions":[{"code":2,"date":"2020-03-31 16:53:07","doi":"10.21203/rs.2.13004/v2","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Accept","date":"2020-03-30T12:00:00+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2020-03-26T12:00:00+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2020-03-25T12:00:00+00:00","index":"","fulltext":""},{"type":"editorInvited","content":"","date":"2020-03-25T12:00:00+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"bmc-medical-research-methodology","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"bmrm","sideBox":"Learn more about [BMC Medical Research Methodology](http://bmcmedresmethodol.biomedcentral.com/)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/bmrm/default.aspx","title":"BMC Medical Research Methodology","twitterHandle":"BMC_series","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"em","reportingPortfolio":"BMC Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true}},{"code":1,"date":"2019-08-28 19:02:29","doi":"10.21203/rs.2.13004/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Minor revision","date":"2020-03-03T12:00:00+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2020-02-25T12:00:00+00:00","index":2,"fulltext":"Recommendation: Accept after minor essential revisions\nForm responses:\n---\n\nComments to Author:\n---\nPEER REVIEWER ASSESSMENTS:\n\nOBJECTIVE - Full research articles: is there a clear objective that addresses a testable research question(s) (brief or other article types: is there a clear objective)?\nYes - there is a clear objective\n\nDESIGN - Is the current approach (including controls and analysis protocols) appropriate for the objective?\nYes - the approach is appropriate\n\nEXECUTION - Are the experiments and analyses performed with technical rigor to allow confidence in the results?\nYes - experiments and analyses were performed appropriately\n\nSTATISTICS - Is the use of statistics in the manuscript appropriate?\nYes - appropriate statistical analyses have been used in the study\n\nINTERPRETATION - Is the current interpretation/discussion of the results reasonable and not overstated?\nYes - the author's interpretation is reasonable\n\nOVERALL MANUSCRIPT POTENTIAL - Is the current version of this work technically sound? If not, can revisions be made to make the work technically sound?\nProbably - with minor revisions\n\nPEER REVIEWER COMMENTS:\n\nGENERAL COMMENTS: There some minor conceptual problems (e.g., the definition of validity and the examination of further types of validity) that can be easily fixed by authors. However, this is a well done paper, technically sound and useful for those researchers involved in the field of substance use. However, I strongly suggest revision for the formal presentation of this article. For example, Tables 2 and 10, respectively 20 and 39 pages, are too huge to accommodate all data. Only in Cochrane's Journal it is allowed such long articles. Both tables must be presented in a comprehensive manner and placed as supplementary material. Tables 4 - 9 should be merged, with the same 3 first-columns. In addition, it is better placing this merged table before Table 3. Suggest split the paper, with a separate one to inspect the biomarkers involved in substance use. Finally, the inclusion of HIV risk in Introduction could be deleted, but authors can expand the contribution of present study to people with HIV.\nMy first impression is about the extension of present submission. It is not easy to handle almost 8000 articles in an initiative to review and summarize existing evidence on psychometric properties of measures for substance use. Authors should be commended because this review is time-consuming and with a plenty of details not always easy to overcome.\nAuthors have followed some standards for conducting a systematic review and meta-analysis (PRISMA, QUADAS-2, PROSPERO registration, etc). Although there are additional indicators of validity, they have made a decision to focus on validity, reliability, and diagnostic accuracy.\nWhat I would suggest to authors is to present quickly and comprehensively their findings in the text, just go straight to your scientific question.* Are the methods appropriate and well described?: **Yes**\n* Does the work include the necessary controls?: **Yes**\n* Are the conclusions drawn adequately supported by the data shown?: **Yes**\n* Are you able to assess any statistics in the manuscript or would you recommend an additional statistical review?: **I am able to assess the statistics**\n* Quality of written English: **Acceptable**\n* Declaration of competing interests: **This reviewer has been recruited by a partner organization, Research Square. Reviewers with declared or apparent competing interests are not utilized for these reviews. This reviewer has agreed to publication of their comments online under a Creative Commons Attribution License attributed to Research Square and was paid a small honorarium for completing the review within a specified timeframe. Honoraria for reviews such as this are paid regardless of the reviewer recommendation.**\n* I agree to the open peer review policy of the journal. I understand that my name will be included on my report to the authors and, if the manuscript is accepted for publication, my named report including any attachments I upload will be posted on the website along with the authors' responses. I agree for my report to be made available under an Open Access Creative Commons CC-BY license (http://creativecommons.org/licenses/by/4.0/). I understand that any comments which I do not wish to be included in my named report can be included as confidential comments to the editors, which will not be published.: ** I agree to the open peer review policy of the journal**\n"},{"type":"reviewerAgreed","content":"","date":"2019-11-21T12:00:00+00:00","index":2,"fulltext":""},{"type":"reviewerAgreed","content":"","date":"2019-10-15T12:00:00+00:00","index":1,"fulltext":""},{"type":"editorInvitedReview","content":"","date":"2019-10-15T12:00:00+00:00","index":1,"fulltext":"Recommendation: Accept without revision\nForm responses:\n---\n\nComments to Author:\n---\nThe authors should be commended for undertaking this systematic review.\nIt is remarkable with a few blemishes.\nThe CIDI actually has several versions and it is not clear that the authors distinguished between them. A search for 'gating' or 'gated' as a term in the title field of a Pubmed search should disclose the several versions that have been used, including the original CIDI-SAM as well as the later two versions of the UM-CIDI.\nThree of the most widely used assessments do not seem to have been covered, although validity studies have been published.\nPerhaps the number of validity studies did not surpass the systematic review threshold, but the widespread use of these assessments provides a rationale for mentioning them and their comparative performance in validity studies:\n(1) The DSM-IV diagnostic modules used in the US National Surveys on Drug Use and Health in a generally ACASI version that is in the public domain and would represent a useful addition to the toolbox that the authors describe in their discussion section;\n(2) Lee N. Robins' original Diagnostic Interview Schedule, which was found to perform better for the alcohol and other drug use disorders than for virtually all of the other DSM categories under study;\n(3) The NLAES and NESARC assessment protocols, now AUDADIS.\nAll of these assessments can be converted in to web-based assessments. None seems to be perfect, but their widespread use is of note. For example, the fact that the US NSDUH is completed annually with large US nationally representative samples (n\u003e75,000 persons) means that there is the equivalent of annually renewed normative data about the study population from which the US HPTN participants arise -- i.e., against which a small local area study sample can be compared. As noted, SAMHSA did conduct validity studies on these modules and a new DSM-5 version validity study is in the planning stages.\nTwo methods notes deserve attention:\n(1) Alpha and kappa are quite margin-sensitive and are not optimal statistical metrics as we work back and forth between clinical samples and community samples in epidemiology. Consider a validity study sample designed to have 500 known cases and 500 known non-cases versus an alternative design with 300 known cases and 2700 known non-cases. The sensitivity and specificity of a test might well be constant across these two samples, but the kappa estimates would differ.\n(2) In theory, sensitivity and specificity are not margin sensitive, but as Buck and Gart showed c. 1972 in AJE, if the 'gold standard' is not perfect, these parameters become distorted. For this reason, Buck and Gart recommended 'co-positivity' and 'co-negativity' as alternative terms when there was concern that the diagnostic gold standard was not perfect. There also is the issue of disease spectrum severity and the prevalence of sources of falsely positive test results. With respect to disease spectrum severity, consider the design of a validity study in which the known non-cases are judged by an expert diagnostic conferencing team to have zero signs and symptoms and its estimate of specificity for a new test to be evaluated, versus an alternative design in which non-cases are allowed to have the standard distribution of clinical or lab manifestations in the absence of disease, and the resulting estimate of specificity. Most likely the second design is closer to clinical practice and research realities, and the first design will yield an overly optimistic specificity estimate as compared to test performance under conditions of real world practice. As for prevalence of sources of falsely positive test results, consider TB testing in areas with lower versus higher prevalence of other mycobacteria and you can devise analogous conditions for the drug use disorders seen in the HIV research setting.\nBut these issues represent minor blemishes* Are the methods appropriate and well described?: **Yes**\n* Does the work include the necessary controls?: **Yes**\n* Are the conclusions drawn adequately supported by the data shown?: **Yes**\n* Are you able to assess any statistics in the manuscript or would you recommend an additional statistical review?: **I am able to assess the statistics**\n* Quality of written English: **Acceptable**\n* Declaration of competing interests: **I declare that I have no competing interests.**\n* I agree to the open peer review policy of the journal. I understand that my name will be included on my report to the authors and, if the manuscript is accepted for publication, my named report including any attachments I upload will be posted on the website along with the authors' responses. I agree for my report to be made available under an Open Access Creative Commons CC-BY license (http://creativecommons.org/licenses/by/4.0/). I understand that any comments which I do not wish to be included in my named report can be included as confidential comments to the editors, which will not be published.: ** I agree to the open peer review policy of the journal**\n"},{"type":"reviewersInvited","content":"","date":"2019-09-06T12:00:00+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2019-08-20T12:00:00+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2019-08-19T12:00:00+00:00","index":"","fulltext":""},{"type":"editorInvited","content":"","date":"2019-08-11T12:00:00+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"bmc-medical-research-methodology","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"bmrm","sideBox":"Learn more about [BMC Medical Research Methodology](http://bmcmedresmethodol.biomedcentral.com/)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/bmrm/default.aspx","title":"BMC Medical Research Methodology","twitterHandle":"BMC_series","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"em","reportingPortfolio":"BMC Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"cdf4a3db-4103-493c-8218-f742005503f7","owner":[],"postedDate":"March 31st, 2020","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"published-in-journal","subjectAreas":[{"id":23851,"name":"Health Economics \u0026 Outcomes Research"}],"tags":[],"updatedAt":"2021-08-05T16:29:12+00:00","versionOfRecord":{"articleIdentity":"rs-3726","link":"https://doi.org/10.1186/s12874-020-00963-7","journal":{"identity":"bmc-medical-research-methodology","isVorOnly":false,"title":"BMC Medical Research Methodology"},"publishedOn":"2020-05-07 20:40:20","publishedOnDateReadable":"May 7th, 2020"},"versionCreatedAt":"2020-03-31 16:53:07","video":"","vorDoi":"10.1186/s12874-020-00963-7","vorDoiUrl":"https://doi.org/10.1186/s12874-020-00963-7","workflowStages":[]},"version":"v2","identity":"rs-3726","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"identity":"rs-3726","version":["v2"]},"buildId":"_2-kVJe1T_tPrBINL-cwx","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}