Results
Search Results
The initial search resulted in a total of 5,936 citations. After removing duplicates, conference proceedings, book chapters, and historical reviews, 4,204 titles and abstracts were screened. Four hundred and seventy full-text articles were reviewed. After full-text screening, 33 guidelines and meta-analyses met the eligibility criteria. One additional guideline was identified from the manual search. Three eligible guidelines or meta-analyses were found from the updated search; therefore, 37 references were included in the current analysis (Fig. 1)1-3,5-7,11-14,16,17,29-53.
Twenty-two pairwise (or traditional) meta-analyses, 5 Cochrane reviews, 5 network meta-analyses, 4 guidelines (1 of which only focused on exercise interventions), and 1 health technology assessment that included a meta-analysis on intra-articular hyaluronic acid were included (Table I). Eleven of the guidelines and meta-analyses examined >1 knee osteoarthritis treatment, whereas the other 26 investigated just 1 therapy. Variations in items related to the search strategy and identification of eligible studies, inclusion and exclusion criteria, and statistical methodology were noted across these investigations. Additional publication characteristics and methodological details for each of the included guidelines and meta-analyses are summarized in Appendix B.
TABLE I.
| Study Type and Treatment Evaluated | No. of Studies |
|---|---|
| Study type | |
| Pairwise meta-analysis | 22 (59.5%) |
| Cochrane review | 5 (13.5%) |
| Network meta-analysis | 5 (13.5%) |
| Guideline | 4 (10.8%) |
| Health technology assessment* | 1 (2.7%) |
| Treatment evaluated† | |
| Multiple treatments | 11 (29.7%) |
| Intra-articular hyaluronic acid | 11 (29.7%) |
| Exercise interventions | 3 (8.1%) |
| Acupuncture | 2 (5.4%) |
| Dietary supplements | 2 (5.4%) |
| Corticosteroids | 1 (2.7%) |
| Duloxetine (SNRI) | 1 (2.7%) |
| NSAIDs | 1 (2.7%) |
| PEMF | 1 (2.7%) |
| TENS | 1 (2.7%) |
| Ultrasound | 1 (2.7%) |
| Valgus bracing | 1 (2.7%) |
| Weight loss | 1 (2.7%) |
Included a meta-analysis.
SNRI = serotonin and norepinephrine reuptake inhibitor, NSAIDs = nonsteroidal anti-inflammatory drugs, PEMF = pulsed electromagnetic field, and TENS = transcutaneous electrical nerve stimulation.
GRADE Assessment
The quality of evidence was evaluated for 87 effect estimates for pain across 33 publications (Appendix C); the information provided in the other 4 publications was not sufficient to perform a GRADE assessment. The quality of evidence was rated as very low for 16 effect estimates (18.4%), low for 42 (48.3%), moderate for 21 (24.1%), and high for 8 (9.2%). The effect estimates were categorized as high for 16.7% of oral pharmacological therapies, compared with 3.4% of intra-articular interventions and 10.9% of nonpharmacological interventions. The categorization of the quality of evidence by intervention type for all effect estimates is summarized in Appendix D.
Comparison of MCIDs Used for Pain Assessments
MCIDs for pain values were often presented as an SMD or mean difference (MD) on a pain-specific outcome measure (Table II). The most common scales were the WOMAC pain subscale and visual analog scale (VAS) for pain.
TABLE II.
| MCID Values | ||||
|---|---|---|---|---|
| Comparison | Measure | Scale | Single Values Used (No. of Meta-Analyses/Guidelines) | Range of MCID Values Used (No. of Meta-Analyses/Guidelines) |
| Between-group difference | MD | VAS (0-100) | 10 (1) | 8.4-19.9 (1) |
| 14 (1) | 10-30 (1) | |||
| 15 (2) | 15-20 (1) | |||
| 17.5 (2) | ||||
| 19.9 (2) | ||||
| WOMAC (0-100) | 8.3 (1) | 9-12 (1) | ||
| 9.7 (3) | ||||
| WOMAC, Likert (0-20) | 5 (1) | None reported | ||
| SF-36, bodily pain (0-100) | 7.8 (1) | None reported | ||
| NRS (0-10) | 1.0 (1) | None reported | ||
| SMD | Standard deviation units | 0.20 (3) | None reported | |
| 0.37 (2) | ||||
| 0.39 (3)* | ||||
| 0.40 (4) | ||||
| 0.47 (1)* | ||||
| 0.50 (4)† | ||||
| 1.23 (1)* | ||||
| % | Percent improvement relative to control | 15 (1) | None reported | |
| Within-group (pre-treatment to post-treatment) difference | MD | VAS (0-10) | 2.0 (2) | None reported |
| WOMAC (0-100) | 20 (2) | None reported | ||
| SMD | Standard deviation units | 0.37 (1) | None reported | |
| Absolute score | VAS (0-100) | <32.3 (1) | None reported | |
| % | Percent decrease from baseline | None reported | 10-20 (1) |
MCID reported in the American Academy of Orthopaedic Surgeons (AAOS) guideline.
MCID reported in the European League Against Rheumatism (EULAR) and National Institute for Health and Care Excellence (NICE) guidelines.
When the MCID was expressed as an SMD, values ranged from 0.20 to 1.23 standard deviation (SD) units. When the MCID for pain was presented on the VAS (0 to 100), values ranged from 10 to 19.9 points. MCID ranges of 8.4 to 19.9, 10 to 30, and 15 to 20 points were also reported for the VAS (0 to 100). When the MCID was on the WOMAC pain subscale (0 to 100), either 8.3 or 9.7 points were used; however, a range of 9 to 12 points was also reported for this scale. The authors of 1 meta-analysis used an MCID of 5 points for the WOMAC pain (0 to 20-point) Likert scale16. MCIDs for the Short Form-36 (SF-36) bodily pain subscale (100-point scale) and numerical rating scale (NRS, 10-point scale) were 7.8 points and 1 point, respectively. Last, the authors of a guideline used a percentage value as their MCID, stating that a ≥15% improvement relative to a control on a continuous outcome measure was clinically relevant5.
A pre-treatment to post-treatment evaluation (i.e., the improvement from baseline within an individual group) for differences in pain was conducted in 6 meta-analyses14,17,30,32,48,49. The MCIDs for these assessments also varied; a 20-point improvement on the WOMAC pain subscale (0 to 100), a 2-point difference on the VAS (0 to 10), an SMD of 0.37 SD unit, and a 10% to 20% decrease in pain from baseline were all used across these investigations. The authors of 1 meta-analysis also stated that patients who achieved a score of <32.3 on the VAS (0 to 100) after their baseline visit reached a clinically significant result48.
In the methods section of the AAOS guideline, the authors reported an MCID in SD units for 3 different pain measures (the WOMAC pain subscale, VAS for pain, and SF-36 bodily pain scale). The MCID for WOMAC pain (SMD = 0.39) was also used in 2 other publications, but the MCIDs for the VAS (SMD = 1.23) and SF-36 (SMD = 0.47) were not reported in any other publication besides the AAOS guideline (Table II). Two other knee osteoarthritis guidelines, from the European League Against Rheumatism (EULAR) and National Institute for Health and Care Excellence (NICE), were included in the present review; both used an SMD of 0.50 SD unit as the MCID.
Comparison of Treatment Effects and Their Clinical Significance
According to the criteria established for this comparison, only treatment effects for intra-articular hyaluronic acid (also presented as low-molecular-weight [<1,500 kDa] and higher-molecular-weight [≥1,500 kDa] variations), intra-articular corticosteroids, oral (non-selective and cyclooxygenase [COX]-2-selective) and topical NSAIDs, acetaminophen, and acupuncture were included (i.e., effect estimates for the remaining nonsurgical therapies listed in the methods were not eligible for this analysis); however, the AAOS guideline did not synthesize trials examining intra-articular corticosteroids, so the estimates reported for each individual trial were presented.
There were similarities in the effect estimates for oral NSAIDs7,30,32,34,51 (Fig. 2-A), topical NSAIDs7,30 (Fig. 2-B), and intra-articular corticosteroids7,30,32,51 (Fig. 3-A) reported across the included guidelines and meta-analyses; however, there were inconsistencies across the studies and guidelines in the estimates for intra-articular hyaluronic acid7,30-32,45,49,51 (Fig. 3-B), acetaminophen7,30,32 (Fig. 4-A), and acupuncture1,7,38,42,43 (Fig. 4-B). Figures 2, 3, and 4 also demonstrated how differences in the effect estimates and the selection of the MCID (the range of 0.20 to 0.50 SD units presented in the figures) can alter the clinical significance of these therapies.
Figs. 3-A and 3-B Comparison of treatment effect estimates (in SD units) for intra-articular corticosteroids7,30,32,51 (Fig. 3-A) and intra-articular hyaluronic acid7,30-32,45,49,51 (Fig. 3-B) with corresponding 95% confidence intervals. The blue line indicates the AAOS MCID for WOMAC pain (0.39), and the dotted red lines indicate the range of other reported MCIDs (0.20 to 0.50). AAOS = American Academy of Orthopaedic Surgeons, MW = molecular weight, IA = intra-articular, SMD = standardized mean difference.
Fig. 3-A.
Fig. 3-B.
Figs. 4-A and 4-B Comparison of treatment effect estimates (in SD units) for acetaminophen7,30,32 (Fig. 4-A) and acupuncture.1,7,38,42,43 (Fig. 4-B) with corresponding 95% confidence intervals. The blue line indicates the AAOS MCID for WOMAC pain (0.39), and the dotted red lines indicate the range of other reported MCIDs (0.20 to 0.50). AAOS 5 American Academy of Orthopaedic Surgeons, NICE 5 National Institute for Health and Care Excellence, SMD 5 standardized mean difference.
Fig. 4-A.
Fig. 4-B.
The effect estimates used to compare therapies with a placebo control were 0.14 for topical NSAIDs, 0.43 for non-selective NSAIDs, 0.34 for COX-2-selective NSAIDs, 0.18 for acetaminophen, 0.32 for intra-articular corticosteroids, 0.34 for intra-articular hyaluronic acid, 0.57 for higher-molecular-weight intra-articular hyaluronic acid, and 0.23 for low-molecular-weight intra-articular hyaluronic acid (Fig. 5)30,32,45. On the basis of these estimates and the descriptions for clinical significance outlined in Appendix B only non-selective NSAIDs, COX-2-selective NSAIDs, intra-articular hyaluronic acid, and higher-molecular-weight intra-articular hyaluronic acid had precision intervals that exceeded the lowest MCID threshold (0.20 SD unit) and were, therefore, deemed “clinically significant,” whereas topical NSAIDs, acetaminophen, intra-articular corticosteroids, and low-molecular-weight intra-articular hyaluronic acid were considered “possibly clinically significant.” Compared with the AAOS MCID for WOMAC pain (0.39 SD unit), only higher-molecular-weight intra-articular hyaluronic acid was “clinically significant,” whereas non-selective NSAIDs, COX-2-selective NSAIDs, intra-articular corticosteroids, and intra-articular hyaluronic acid were “possibly clinically significant.” Compared with a more conservative MCID of 0.50 SD unit, none of the treatments represented effect estimates that were “clinically significant”; only the effect sizes of non-selective NSAIDs and higher-molecular-weight intra-articular hyaluronic acid were “possibly clinically significant.”
Fig. 5.
Comparison of treatment effect estimates for topical and oral NSAIDs, acetaminophen, and intra-articular corticosteroids and hyaluronic acid from recent meta-analyses30,32,45. The blue line indicates the AAOS MCID for WOMAC pain (0.39), and the red line indicates the range of other reported MCIDs (0.20 to 0.50). IA = intra-articular, MW = molecular weight, NSAID = nonsteroidal anti-inflammatory drug, SMD = standardized mean difference.
In Figure 6, values of <1.0 indicate that the effect estimate of the respective NSAID therapy was larger than that of the comparison treatment. Intra-articular hyaluronic acid (regardless of molecular weight), intra-articular corticosteroids, and acetaminophen all had larger effect estimates than topical NSAIDs (Fig. 6, top panel). Compared with both COX-2-selective and non-selective NSAIDs, only higher-molecular-weight intra-articular hyaluronic acid had a larger effect than the 2 forms of oral NSAID therapy (Fig. 6, middle and bottom panels).
Fig. 6.
Ratios of the point estimates for topical NSAIDs (top panel), COX-2-selective NSAIDs (middle panel), and non-selective NSAIDs (bottom panel) relative to other nonsurgical therapies. Values of <1.0 indicate that the effect estimate for the respective NSAID was larger than the comparison treatment. *Ratio = 1.0. HA = hyaluronic acid, IA = intra-articular, MW = molecular weight, NSAID = nonsteroidal anti-inflammatory drug.
Discussion
This systematic review confirmed the variability in the MCID for pain assessments used across guidelines and meta-analyses evaluating nonsurgical interventions for knee osteoarthritis. In some cases, the threshold for clinical significance was even inconsistent for a single scale (e.g., the WOMAC pain subscale or VAS for pain). The clinical significance associated with an effect estimate for a treatment in patients with knee osteoarthritis is dependent on which threshold is selected. If too low of an MCID is employed, an ineffective treatment may be determined to provide benefit. Alternatively, setting the MCID too high may result in rejecting treatments that are indeed efficacious. The findings also demonstrate that treatment effects of a given therapy could be influenced by either clinical factors (e.g., hyaluronic acid molecular weight) or methodological (both study and statistical) factors. The comparison of the effect estimates of various pharmacological interventions versus a common comparator (e.g., placebo) showed considerable overlap. This similarity of treatment effect size across treatments raises questions as to the validity of and rationale for the heterogeneity of the recommendations assigned to some of these treatments, with certain knee osteoarthritis guidelines recommending for, and others against, the treatments that generate similar effect sizes. Such observations might explain, at least in part, why prior research has demonstrated conflicting treatment recommendations among the various knee osteoarthritis guidelines15,28 and further reinforce the contention that the MCID should be used strictly as a supplementary tool when making treatment decisions.
One factor that could have altered these results and conclusions is that trial quality may have an impact on treatment effect estimates. As highlighted in Appendix D, the quality of evidence of the included pain outcomes was quite variable. If, for example, the authors of a given meta-analysis were to restrict their analysis to include only high-quality studies, the resulting effect size may very well be different from the effect calculated regardless of trial quality, which could then change the interpretation of clinical significance for the effect size. Another consideration that should be addressed is that the WOMAC pain scale was prioritized in this comparison. As noted in the results of the literature search, different scales have different MCIDs. If, for example, the VAS for pain had been prioritized instead of the WOMAC for this analysis, the effect sizes of the included therapies may have compared differently to the range of MCIDs reported for the VAS, which might (or might not) have changed the conclusions made about their clinical significance. An additional consideration for future research on knee osteoarthritis is the emergence of platelet-rich plasma (PRP) as a potential treatment option. This therapy has a small but growing body of evidence examining its effects in comparison with those of intra-articular saline solution as well as those of active comparators such as intra-articular hyaluronic acid. Current guidelines have not typically included PRP in their formal recommendations, perhaps because of the lack of a body of evidence to aid in decision-making, yet this body of evidence is continually growing and should be considered in future knee osteoarthritis investigations.
The authors of the included guidelines and meta-analyses often referred to the previous literature when selecting the most appropriate MCID for their research investigations. Historically, the MCID has been determined with one of a number of different methods, which can be categorized as expert-based, distribution-based, or anchor-based. An expert-based approach involves the development of a consensus panel to review and discuss the available data to determine the MCID, which may involve a voting procedure54,55. A distribution-based MCID involves the use of statistical parameters to estimate thresholds of discrimination for changes in health, as based on the early work by Cohen56 and Norman et al.57. Anchor-based MCIDs, calculated by relating changes on a continuous outcome measure to changes in a patient’s self-assessment of health status58-63, were common across the guidelines and meta-analyses included in this review; however, anchor-based MCIDs may differ for various reasons. For example, the 2 studies by Angst et al.64,65 both used a transition questionnaire to ask patients if their health was “much worse,” “slightly worse,” “equal,” “slightly better,” or “much better” relative to their baseline status, whereas Tubach et al. asked patients to assess their response to treatment on either a 5-point (“none,” “poor,” “fair,” “good,” or “excellent”) or 15-point (ranging from “a very great deal worse” to “a very great deal better”) Likert scale66. Angst et al. defined the MCID for improvement as patients who stated that their health was “slightly better” relative to baseline, whereas Tubach et al. used the scores of 75% of the patients who deemed their response to treatment as “good.”64-66 This example highlights the controversy on how much of a change in a patient’s health status should be considered a “minimal” important difference, as the definition provided by Angst et al. appears to represent a smaller change than the criteria used by Tubach et al., which was, arguably, set too high67. The MCID is recognized to be context-specific, and a patient’s expectation may change depending on factors such as the type of treatment received, the time between outcome assessments, and the patient’s age or other baseline characteristics67,68. Variation in the patient populations and anchors used to determine these clinically significant thresholds may account for the wide range of MCIDs reported in the knee osteoarthritis literature. The anchor-based MCIDs used across these studies also represented populations of patients with conditions other than osteoarthritis (e.g., ankylosing spondylitis, low back pain, fibromyalgia, peripheral neuropathy, rheumatoid arthritis, rotator cuff disease, acute pain/trauma, endometriosis-associated pelvic pain)59,61-63,69-73. A recent systematic review assessing the credibility of the MCID for patients with knee osteoarthritis suggested that the most credible estimates of the MCID were around 12 points for the WOMAC pain score, which is considerably lower than the 19.9-point VAS pain MCID referenced frequently in the assessed literature19. This range of credible MCIDs should be considered in the application of prior research findings, as clinical interpretation of the MCID may vary depending on the cutoff used. An MCID of 12 points on the VAS pain scale is a better representation of an appropriate MCID cutoff19. As the MCID for an outcome may be derived by evaluating a within-group change in health status relative to baseline, it is not clear that the same MCID is appropriate for between-group comparisons67. For example, an SMD of 0.37 has been used for both within-group and between-group differences in pain scores. Also, although the VAS for pain commonly has been used as a pain scale in the knee osteoarthritis literature, it can be assessed under different scenarios (e.g., global pain, pain at rest, pain during activity), and, in many cases, the same MCID value is used for the VAS without this consideration. Using a single threshold as a marker for clinical significance also may be problematic67. When an outcome is quantified on a continuous scale, the scores typically are averaged across all patients in the sample; therefore, if this average score (including its precision interval) does not exceed the MCID, then it would not be considered a clinically significant effect, which could potentially ignore a proportion of individual patients who did have a score greater than this value67,74. When pooled effect estimates of a given intervention are inconsistent across guidelines and meta-analyses, the inconsistency may be due to differences in search strategy, inclusion and exclusion criteria, selection of outcome measures (multiple scales are available that quantify the same outcome), or statistical analysis plan (e.g., the results of a pairwise meta-analysis versus a network meta-analysis or frequentist versus Bayesian approaches). For many nonsurgical interventions for knee osteoarthritis, recommendations for or against use vary across the knee osteoarthritis guidelines28. In the present study, the effect estimates of treatments that have received less support in the guidelines had similar, if not greater, effect sizes than those that have been more commonly recommended. For example, as shown in Figures 5 and 6, the treatment effects of intra-articular hyaluronic acid, especially higher-molecular-weight formulations, were similar to, if not greater than, those of both non-selective and COX-2-selective NSAIDs. Relevant stakeholders must come to a consensus on a standard approach to determining the clinical significance of these therapies in order to ensure that patients are not limited in their treatment options prior to invasive surgical intervention.
The strengths of the current study were that a systematic and reproducible search was conducted within the most comprehensive electronic databases (PubMed/MEDLINE and Embase) and that a manual search for references that were not indexed in these databases was also performed. The most patient-important and most commonly assessed outcome among patients with knee osteoarthritis (i.e., pain) was examined. Meta-analyses and guidelines were only included if treatments were evaluated against a common comparator (placebo or control) in order to ensure comparability between studies when assessing the MCIDs and treatment effect sizes. One of the limitations of the present review was the inclusion of only studies that were published in English. It is unclear how the results might compare with the knee osteoarthritis literature in other countries, and it is possible that other reported MCIDs for this patient population were missed. Only pain outcomes were examined; however, treatment decisions also may be based on other variables, such as costs and safety. Also, as only evaluations of nonsurgical therapies were included, it cannot be assumed that the results and conclusions of the literature search are also representative of a population of patients with knee osteoarthritis that requires surgical intervention. The comparison to published MCID values aimed to provide clinical insights into the treatment effects seen; however, the present study was limited by the inability to determine which of the published MCIDs is most appropriate to inform clinical significance within this patient population. For this reason, >1 MCID cutoff point was included in the comparison.
References
- 1.NICE: National Institute for Health and Care Excellence. Osteoarthritis: care and management. 2014. https://www.nice.org.uk/guidance/cg177. Accessed 2019 Jan 4.
- 2.Altman RD, Bedi A, Karlsson J, Sancheti P, Schemitsch E. Product differences in intra-articular hyaluronic acids for osteoarthritis of the knee. Am J Sports Med. 2016. August;44(8):2158-65. Epub 2015 Nov 17. [DOI] [PubMed] [Google Scholar]
- 3.Jevsevar D, Donnelly P, Brown GA, Cummins DS. Viscosupplementation for osteoarthritis of the knee: a systematic review of the evidence. J Bone Joint Surg Am. 2015. December 16;97(24):2047-60. [DOI] [PubMed] [Google Scholar]
- 4.Trojian TH, Concoff AL, Joy SM, Hatzenbuehler JR, Saulsberry WJ, Coleman CI. AMSSM scientific statement concerning viscosupplementation injections for knee osteoarthritis: importance for individual patient outcomes. Br J Sports Med. 2016. January;50(2):84-92. [DOI] [PubMed] [Google Scholar]
- 5.Loew L, Brosseau L, Wells GA, Tugwell P, Kenny GP, Reid R, Maetzel A, Huijbregts M, McCullough C, De Angelis G, Coyle D; Ottawa Panel. Ottawa Panel evidence-based clinical practice guidelines for aerobic walking programs in the management of osteoarthritis. Arch Phys Med Rehabil. 2012. July;93(7):1269-85. Epub 2012 Mar 12. [DOI] [PubMed] [Google Scholar]
- 6.Wang SY, Olson-Kellogg B, Shamliyan TA, Choi JY, Ramakrishnan R, Kane RL. Physical therapy interventions for knee pain secondary to osteoarthritis: a systematic review. Ann Intern Med. 2012. November 6;157(9):632-44. [DOI] [PubMed] [Google Scholar]
- 7.Jevsevar DS, Brown GA, Jones DL, et al. The American Academy of Orthopaedic Surgeons evidence-based guideline on: treatment of osteoarthritis of the knee, 2nd edition. J Bone Joint Surg Am. 2013;95(20):1885-1886. [DOI] [PubMed] [Google Scholar]
- 8.Lawrence RC, Felson DT, Helmick CG, Arnold LM, Choi H, Deyo RA, Gabriel S, Hirsch R, Hochberg MC, Hunder GG, Jordan JM, Katz JN, Kremers HM, Wolfe F; National Arthritis Data Workgroup. Estimates of the prevalence of arthritis and other rheumatic conditions in the United States. Part II. Arthritis Rheum. 2008. January;58(1):26-35. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Losina E, Weinstein AM, Reichmann WM, Burbine SA, Solomon DH, Daigle ME, Rome BN, Chen SP, Hunter DJ, Suter LG, Jordan JM, Katz JN. Lifetime risk and age at diagnosis of symptomatic knee osteoarthritis in the US. Arthritis Care Res (Hoboken). 2013. May;65(5):703-11. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Puig-Junoy J, Ruiz Zamora A. Socio-economic costs of osteoarthritis: a systematic review of cost-of-illness studies. Semin Arthritis Rheum. 2015. April;44(5):531-41. Epub 2014 Oct 31. [DOI] [PubMed] [Google Scholar]
- 11.McCarthy CJ, Callaghan MJ, Oldham JA. Pulsed electromagnetic energy treatment offers no clinical benefit in reducing the pain of knee osteoarthritis: a systematic review. BMC Musculoskelet Disord. 2006 Jun 15;7:51. doi: 10.1186/1471-2474-7-51. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Health Quality O, Medical Advisory Secretariat Intra-articular viscosupplementation with hylan G-F 20 to treat osteoarthritis of the knee: an evidence-based analysis. Ont Health Technol Assess Ser. 2005;5(10):1-66. Epub 2005 Jun 1. [PMC free article] [PubMed] [Google Scholar]
- 13.Jordan KM, Arden NK, Doherty M, Bannwarth B, Bijlsma JW, Dieppe P, Gunther K, Hauselmann H, Herrero-Beaumont G, Kaklamanis P, Lohmander S, Leeb B, Lequesne M, Mazieres B, Martin-Mola E, Pavelka K, Pendleton A, Punzi L, Serni U, Swoboda B, Verbruggen G, Zimmerman-Gorska I, Dougados M; Standing Committee for International Clinical Studies Including Therapeutic Trials ESCISIT. EULAR Recommendations 2003: an evidence based approach to the management of knee osteoarthritis: Report of a Task Force of the Standing Committee for International Clinical Studies Including Therapeutic Trials (ESCISIT). Ann Rheum Dis. 2003. December;62(12):1145-55. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Wang ZY, Shi SY, Li SJ, Chen F, Chen H, Lin HZ, Lin JM. Efficacy and safety of duloxetine on osteoarthritis knee pain: a meta-analysis of randomized controlled trials. Pain Med. 2015. July;16(7):1373-85. Epub 2015 Jun 5. [DOI] [PubMed] [Google Scholar]
- 15.Altman RD, Schemitsch E, Bedi A. Assessment of clinical practice guideline methodology for the treatment of knee osteoarthritis with intra-articular hyaluronic acid. Semin Arthritis Rheum. 2015. October;45(2):132-9. Epub 2015 May 7. [DOI] [PubMed] [Google Scholar]
- 16.Moyer RF, Birmingham TB, Bryant DM, Giffin JR, Marriott KA, Leitch KM. Valgus bracing for knee osteoarthritis: a meta-analysis of randomized trials. Arthritis Care Res (Hoboken). 2015. April;67(4):493-501. [DOI] [PubMed] [Google Scholar]
- 17.Zeng C, Wei J, Li H, Wang YL, Xie DX, Yang T, Gao SG, Li YS, Luo W, Lei GH. Effectiveness and safety of glucosamine, chondroitin, the two in combination, or celecoxib in the treatment of osteoarthritis of the knee. Sci Rep. 2015. November 18;5:16827. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Jaeschke R, Singer J, Guyatt GH. Measurement of health status. Ascertaining the minimal clinically important difference. Control Clin Trials. 1989. December;10(4):407-15. [DOI] [PubMed] [Google Scholar]
- 19.Devji T, Guyatt GH, Lytvyn L, Brignardello-Petersen R, Foroutan F, Sadeghirad B, Buchbinder R, Poolman RW, Harris IA, Carrasco-Labra A, Siemieniuk RAC, Vandvik PO. Application of minimal important differences in degenerative knee disease outcomes: a systematic review and case study to inform BMJ Rapid Recommendations. BMJ Open. 2017. May 11;7(5):e015587. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Neumann I, Santesso N, Akl EA, Rind DM, Vandvik PO, Alonso-Coello P, Agoritsas T, Mustafa RA, Alexander PE, Schünemann H, Guyatt GH. A guide for health professionals to interpret and use recommendations in guidelines developed with the GRADE approach. J Clin Epidemiol. 2016. April;72:45-55. Epub 2016 Jan 6. [DOI] [PubMed] [Google Scholar]
- 21.Guyatt G, Gutterman D, Baumann MH, Addrizzo-Harris D, Hylek EM, Phillips B, Raskob G, Lewis SZ, Schünemann H. Grading strength of recommendations and quality of evidence in clinical guidelines: report from an American College of Chest Physicians task force. Chest. 2006. January;129(1):174-81. [DOI] [PubMed] [Google Scholar]
- 22.Guyatt G, Oxman AD, Akl EA, Kunz R, Vist G, Brozek J, Norris S, Falck-Ytter Y, Glasziou P, DeBeer H, Jaeschke R, Rind D, Meerpohl J, Dahm P, Schünemann HJ. GRADE guidelines: 1. Introduction-GRADE evidence profiles and summary of findings tables. J Clin Epidemiol. 2011. April;64(4):383-94. Epub 2010 Dec 31. [DOI] [PubMed] [Google Scholar]
- 23.Alhazzani W, Guyatt G. An overview of the GRADE approach and a peek at the future. Med J Aust. 2018. September 1;209(7):291-2. [DOI] [PubMed] [Google Scholar]
- 24.Salanti G, Del Giovane C, Chaimani A, Caldwell DM, Higgins JP. Evaluating the quality of evidence from a network meta-analysis. PLoS One. 2014. July 3;9(7):e99682. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Juhl C, Lund H, Roos EM, Zhang W, Christensen R. A hierarchy of patient-reported outcomes for meta-analysis of knee osteoarthritis trials: empirical evidence from a survey of high impact journals. Arthritis. 2012;2012:136245 Epub 2012 Jun 26. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Higgins JPTGS. Cochrane handbook for systematic reviews of interventions version 5.1.0. The Cochrane Collaboration; Cambridge, 2011. [Google Scholar]
- 27.Stark PB, Tenorio L. A primer of frequentist and Bayesian inference in inverse problems. In: Large-scale inverse problems and quantification of uncertainty. John Wiley & Sons; New Jersey, 2010. p 9-32. [Google Scholar]
- 28.Nelson AE, Allen KD, Golightly YM, Goode AP, Jordan JM. A systematic review of recommendations and guidelines for the management of osteoarthritis: the Chronic Osteoarthritis Management Initiative of the U.S. Bone and Joint Initiative. Semin Arthritis Rheum. 2014. June;43(6):701-12. Epub 2013 Dec 4. [DOI] [PubMed] [Google Scholar]
- 29.Arrich J, Piribauer F, Mad P, Schmid D, Klaushofer K, Müllner M. Intra-articular hyaluronic acid for the treatment of osteoarthritis of the knee: systematic review and meta-analysis. CMAJ. 2005. April 12;172(8):1039-43. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Bannuru RR, McAlindon TE, Sullivan MC, Wong JB, Kent DM, Schmid CH. Effectiveness and implications of alternative placebo treatments: a systematic review and network meta-analysis of osteoarthritis trials. Ann Intern Med. 2015. September 1;163(5):365-72. [DOI] [PubMed] [Google Scholar]
- 31.Bannuru RR, Natov NS, Dasi UR, Schmid CH, McAlindon TE. Therapeutic trajectory following intra-articular hyaluronic acid injection in knee osteoarthritis—meta-analysis. Osteoarthritis Cartilage. 2011. June;19(6):611-9. Epub 2011 Apr 9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Bannuru RR, Schmid CH, Kent DM, Vaysbrot EE, Wong JB, McAlindon TE. Comparative effectiveness of pharmacologic interventions for knee osteoarthritis: a systematic review and network meta-analysis. Ann Intern Med. 2015. January 6;162(1):46-54. [DOI] [PubMed] [Google Scholar]
- 33.Bjordal JM, Johnson MI, Lopes-Martins RA, Bogen B, Chow R, Ljunggren AE. Short-term efficacy of physical interventions in osteoarthritic knee pain. A systematic review and meta-analysis of randomised placebo-controlled trials. BMC Musculoskelet Disord. 2007. June 22;8:51. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Bjordal JM, Ljunggren AE, Klovning A, Slørdal L. Non-steroidal anti-inflammatory drugs, including cyclo-oxygenase-2 inhibitors, in osteoarthritic knee pain: meta-analysis of randomised placebo controlled trials. BMJ. 2004. December 4;329(7478):1317 Epub 2004 Nov 23. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Brien S, Prescott P, Lewith G. Meta-analysis of the related nutritional supplements dimethyl sulfoxide and methylsulfonylmethane in the treatment of osteoarthritis of the knee. Evid Based Complement Alternat Med. 2011;2011:528403 Epub 2011 Feb 17. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Christensen R, Bartels EM, Astrup A, Bliddal H. Effect of weight reduction in obese patients diagnosed with knee osteoarthritis: a systematic review and meta-analysis. Ann Rheum Dis. 2007. April;66(4):433-9. Epub 2007 Jan 4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Colen S, van den Bekerom MP, Mulier M, Haverkamp D. Hyaluronic acid in the treatment of knee osteoarthritis: a systematic review and meta-analysis with emphasis on the efficacy of different products. BioDrugs. 2012. August 1;26(4):257-68. [DOI] [PubMed] [Google Scholar]
- 38.Corbett MS, Rice SJ, Madurasinghe V, Slack R, Fayter DA, Harden M, Sutton AJ, Macpherson H, Woolacott NF. Acupuncture and other physical treatments for the relief of pain due to osteoarthritis of the knee: network meta-analysis. Osteoarthritis Cartilage. 2013. September;21(9):1290-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Fransen M, McConnell S, Harmer AR, Van der Esch M, Simic M, Bennell KL. Exercise for osteoarthritis of the knee. Cochrane Database Syst Rev. 2015. January 9;1:CD004376. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Juhl C, Christensen R, Roos EM, Zhang W, Lund H. Impact of exercise type and dose on pain and disability in knee osteoarthritis: a systematic review and meta-regression analysis of randomized controlled trials. Arthritis Rheumatol. 2014. March;66(3):622-36. [DOI] [PubMed] [Google Scholar]
- 41.Jüni P, Hari R, Rutjes AW, Fischer R, Silletta MG, Reichenbach S, da Costa BR. Intra-articular corticosteroid for knee osteoarthritis. Cochrane Database Syst Rev. 2015. October 22;10:CD005328. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Manheimer E, Cheng K, Linde K, Lao L, Yoo J, Wieland S, van der Windt DA, Berman BM, Bouter LM. Acupuncture for peripheral joint osteoarthritis. Cochrane Database Syst Rev. 2010. January 20;1:CD001977. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Manheimer E, Linde K, Lao L, Bouter LM, Berman BM. Meta-analysis: acupuncture for osteoarthritis of the knee. Ann Intern Med. 2007. June 19;146(12):868-77. [DOI] [PubMed] [Google Scholar]
- 44.Richette P, Chevalier X, Ea HK, Eymard F, Henrotin Y, Ornetti P, Sellam J, Cucherat M, Marty M. Hyaluronan for knee osteoarthritis: an updated meta-analysis of trials with low risk of bias. RMD Open. 2015. May 14;1(1):e000071. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Rutjes AW, Jüni P, da Costa BR, Trelle S, Nüesch E, Reichenbach S. Viscosupplementation for osteoarthritis of the knee: a systematic review and meta-analysis. Ann Intern Med. 2012. August 7;157(3):180-91. [DOI] [PubMed] [Google Scholar]
- 46.Rutjes AW, Nüesch E, Sterchi R, Jüni P. Therapeutic ultrasound for osteoarthritis of the knee or hip. Cochrane Database Syst Rev. 2010. January 20;1:CD003132. [DOI] [PubMed] [Google Scholar]
- 47.Rutjes AW, Nüesch E, Sterchi R, Kalichman L, Hendriks E, Osiri M, Brosseau L, Reichenbach S, Jüni P. Transcutaneous electrostimulation for osteoarthritis of the knee. Cochrane Database Syst Rev. 2009. October 7;4:CD002823. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Schneider H, Maheu E, Cucherat M. Symptom-modifying effect of chondroitin sulfate in knee osteoarthritis: a meta-analysis of randomized placebo-controlled trials performed with Structum(®). Open Rheumatol J. 2012;6:183-9. Epub 2012 Jul 25. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Strand V, McIntyre LF, Beach WR, Miller LE, Block JE. Safety and efficacy of US-approved viscosupplements for knee osteoarthritis: a systematic review and meta-analysis of randomized, saline-controlled trials. J Pain Res. 2015. May 7;8:217-28. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Warden SJ, Hinman RS, Watson MA, Jr, Avin KG, Bialocerkowski AE, Crossley KM. Patellar taping and bracing for the treatment of chronic knee pain: a systematic review and meta-analysis. Arthritis Rheum. 2008. January 15;59(1):73-83. [DOI] [PubMed] [Google Scholar]
- 51.Jevsevar DS, Shores PB, Mullen K, Schulte DM, Brown GA, Cummins DS. Mixed treatment comparisons for nonsurgical treatment of knee osteoarthritis: a network meta-analysis. J Am Acad Orthop Surg. 2018. May 1;26(9):325-36. [DOI] [PubMed] [Google Scholar]
- 52.Xu Z, Luo J, Huang X, Wang B, Zhang J, Zhou A. Efficacy of platelet-rich plasma in pain and self-report function in knee osteoarthritis: a best-evidence synthesis. Am J Phys Med Rehabil. 2017. November;96(11):793-800. [DOI] [PubMed] [Google Scholar]
- 53.Dai WL, Zhou AG, Zhang H, Zhang J. Efficacy of platelet-rich plasma in the treatment of knee osteoarthritis: a meta-analysis of randomized controlled trials. Arthroscopy. 2017. March;33(3):659-670.e1. Epub 2016 Dec 22. [DOI] [PubMed] [Google Scholar]
- 54.Bellamy N, Kirwan J, Boers M, Brooks P, Strand V, Tugwell P, Altman R, Brandt K, Dougados M, Lequesne M. Recommendations for a core set of outcome measures for future Phase III clinical trials in knee, hip, and hand osteoarthritis. Consensus development at OMERACT III. J Rheumatol. 1997. April;24(4):799-802. [PubMed] [Google Scholar]
- 55.Pham T, van der Heijde D, Altman RD, Anderson JJ, Bellamy N, Hochberg M, Simon L, Strand V, Woodworth T, Dougados M. OMERACT-OARSI initiative: Osteoarthritis Research Society International set of responder criteria for osteoarthritis clinical trials revisited. Osteoarthritis Cartilage. 2004. May;12(5):389-99. [DOI] [PubMed] [Google Scholar]
- 56.Cohen J. Statistical power analysis for the behavioral sciences. 2nd ed. Hillsdale: Lawrence Erlbaum Associates; 1988. [Google Scholar]
- 57.Norman GR, Sloan JA, Wyrwich KW. Interpretation of changes in health-related quality of life: the remarkable universality of half a standard deviation. Med Care. 2003. May;41(5):582-92. [DOI] [PubMed] [Google Scholar]
- 58.Crossley KM, Bennell KL, Cowan SM, Green S. Analysis of outcome measures for persons with patellofemoral pain: which are reliable and valid? Arch Phys Med Rehabil. 2004. May;85(5):815-22. [DOI] [PubMed] [Google Scholar]
- 59.Dworkin RH, Turk DC, Wyrwich KW, Beaton D, Cleeland CS, Farrar JT, Haythornthwaite JA, Jensen MP, Kerns RD, Ader DN, Brandenburg N, Burke LB, Cella D, Chandler J, Cowan P, Dimitrova R, Dionne R, Hertz S, Jadad AR, Katz NP, Kehlet H, Kramer LD, Manning DC, McCormick C, McDermott MP, McQuay HJ, Patel S, Porter L, Quessy S, Rappaport BA, Rauschkolb C, Revicki DA, Rothman M, Schmader KE, Stacey BR, Stauffer JW, von Stein T, White RE, Witter J, Zavisic S. Interpreting the clinical importance of treatment outcomes in chronic pain clinical trials: IMMPACT recommendations. J Pain. 2008. February;9(2):105-21. Epub 2007 Dec 11. [DOI] [PubMed] [Google Scholar]
- 60.Ehrich EW, Davies GM, Watson DJ, Bolognese JA, Seidenberg BC, Bellamy N. Minimal perceptible clinical improvement with the Western Ontario and McMaster Universities Osteoarthritis Index questionnaire and global assessments in patients with osteoarthritis. J Rheumatol. 2000. November;27(11):2635-41. [PubMed] [Google Scholar]
- 61.Salaffi F, Stancati A, Silvestri CA, Ciapetti A, Grassi W. Minimal clinically important changes in chronic musculoskeletal pain intensity measured on a numerical rating scale. Eur J Pain. 2004. August;8(4):283-91. [DOI] [PubMed] [Google Scholar]
- 62.Tashjian RZ, Deloach J, Porucznik CA, Powell AP. Minimal clinically important differences (MCID) and patient acceptable symptomatic state (PASS) for visual analog scales (VAS) measuring pain in patients treated for rotator cuff disease. J Shoulder Elbow Surg. 2009. Nov-Dec;18(6):927-32. Epub 2009 Jun 16. [DOI] [PubMed] [Google Scholar]
- 63.Todd KH, Funk KG, Funk JP, Bonacci R. Clinical significance of reported changes in pain severity. Ann Emerg Med. 1996. April;27(4):485-9. [DOI] [PubMed] [Google Scholar]
- 64.Angst F, Aeschlimann A, Michel BA, Stucki G. Minimal clinically important rehabilitation effects in patients with osteoarthritis of the lower extremities. J Rheumatol. 2002. January;29(1):131-8. [PubMed] [Google Scholar]
- 65.Angst F, Aeschlimann A, Stucki G. Smallest detectable and minimal clinically important differences of rehabilitation intervention with their implications for required sample sizes using WOMAC and SF-36 quality of life measurement instruments in patients with osteoarthritis of the lower extremities. Arthritis Rheum. 2001. August;45(4):384-91. [DOI] [PubMed] [Google Scholar]
- 66.Tubach F, Ravaud P, Baron G, Falissard B, Logeart I, Bellamy N, Bombardier C, Felson D, Hochberg M, van der Heijde D, Dougados M. Evaluation of clinically relevant changes in patient reported outcomes in knee and hip osteoarthritis: the minimal clinically important improvement. Ann Rheum Dis. 2005. January;64(1):29-33. Epub 2004 Jun 18. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Bannuru RR, Vaysbrot EE, McIntyre LF. Did the American Academy of Orthopaedic Surgeons osteoarthritis guidelines miss the mark? Arthroscopy. 2014. January;30(1):86-9. [DOI] [PubMed] [Google Scholar]
- 68.King MT. A point of minimal important difference (MID): a critique of terminology and methods. Expert Rev Pharmacoecon Outcomes Res. 2011. April;11(2):171-84. [DOI] [PubMed] [Google Scholar]
- 69.Farrar JT, Young JP, Jr, LaMoreaux L, Werth JL, Poole RM. Clinical importance of changes in chronic pain intensity measured on an 11-point numerical pain rating scale. Pain. 2001. November;94(2):149-58. [DOI] [PubMed] [Google Scholar]
- 70.Gerlinger C, Schumacher U, Faustmann T, Colligs A, Schmitz H, Seitz C. Defining a minimal clinically important difference for endometriosis-associated pelvic pain measured on a visual analog scale: analyses of two placebo-controlled, randomized trials. Health Qual Life Outcomes. 2010. November 24;8:138. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Lee JS, Hobden E, Stiell IG, Wells GA. Clinically important change in the visual analog scale after adequate pain control. Acad Emerg Med. 2003. October;10(10):1128-30. [DOI] [PubMed] [Google Scholar]
- 72.Rowbotham MC. What is a “clinically meaningful” reduction in pain? Pain. 2001. November;94(2):131-2. [DOI] [PubMed] [Google Scholar]
- 73.Wells GA, Tugwell P, Kraag GR, Baker PR, Groh J, Redelmeier DA. Minimum important difference between patients with rheumatoid arthritis: the patient’s perspective. J Rheumatol. 1993. March;20(3):557-60. [PubMed] [Google Scholar]
- 74.Brozek JL, Guyatt GH, Schünemann HJ. How a well-grounded minimal important difference can enhance transparency of labelling claims and improve interpretation of a patient reported outcome measure. Health Qual Life Outcomes. 2006. September 27;4:69. [DOI] [PMC free article] [PubMed] [Google Scholar]
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