Validation of a Lip Asymmetry Scale and Determination of Lip Asymmetry Associated Factors Among Children Following Primary Unilateral Cleft Lip Repair at Corsu Rehabilitation Hospital, Uganda

Validation of a Lip Asymmetry Scale and Determination of Lip Asymmetry Associated Factors Among Children Following Primary Unilateral Cleft Lip Repair at Corsu Rehabilitation Hospital, Uganda | 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 Short Report Validation of a Lip Asymmetry Scale and Determination of Lip Asymmetry Associated Factors Among Children Following Primary Unilateral Cleft Lip Repair at Corsu Rehabilitation Hospital, Uganda Lubega William, Martin Tungotyo, Andrew Hodges This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7123058/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract This cross-sectional study involving 80 children assessed lip asymmetry after primary unilateral cleft lip (UCL) repair at CoRSU Rehabilitation Hospital in Uganda. The research aimed to determine the prevalence and associated factors of lip asymmetry and validate a visual analog Unilateral Cleft Lip Asymmetry Scale (UCLAS). Key findings included 100% of participants had some degree of lip asymmetry. 17.5% had severe lip asymmetry. Factors significantly associated with severe asymmetry included respiratory infection 14 days prior to surgery , surgical technique , surgeon’s cadre , early postoperative complications , and assessments within 6 months post-surgery . UCLAS proved reliable, with good intra- and inter-rater agreement and high internal consistency (Cronbach’s α > 0.8). INTRODUCTION Cleft lip (CL), often associated with cleft palate (CP), is one of the most common craniofacial anomalies. It presents both physical and psychosocial challenges, with postoperative facial appearance being a central concern. Lip asymmetry, particularly in Unilateral Cleft Lip (UCL) patients, impacts self-esteem and social integration [ 1 ],[ 2 ]. In Uganda, CL/CP incidence ranges between 73–134 per 100,000 live births [ 3 ],[ 4 ]. However, there is a scarcity of African studies focusing on postoperative lip asymmetry. There also lacks a standardized aesthetic assessment tool. Thus, this study fills that gap by evaluating lip asymmetry and validating a novel visual scale. METHODS A cross sectional study conducted at CoRSU hospital, a cleft centre in Uganda, from July 2019 to April 2020. Children with repaired UCL, minimum 3 months post-surgery and whose caregivers/parents gave written consent were enrolled. Those with secondary lip revisions and incomplete medical records. 80 children underwent assessment and data collected included demographics, surgical details, pre-operative health status. Lip measurements were done using Castroviejo calipers. Standardized 2D photos were cropped to show only the nasolabial region evaluated. The visual analog Unilateral Cleft Lip Asymmetry Scale (UCLAS) was based on a 5-point Likert scale (1 = very poor, 5 = very good), the following components were scored: 1. Lip height discrepancy 2. Vermillion border shape 3. Vermillion mucosa volume 4. Scar thickness Total scores: 16–20 = Mild asymmetry 12–15 = Moderate asymmetry 4–11 = Severe asymmetry Assessments were conducted twice by two cleft surgeons for reliability testing. Statistical Analysis of the data was done using STATA version 12.0, Chi square, Fischer’s exact T test and multivariate logistic regression were performed to determine factors associated with severe lip asymmetry. Probability values (p-values) less than 0.05 were considered statistically significant. Intra- and inter-rater reliabilities of overall scores of assessment tool were assessed using the weighted Kappa scores. The overall reliability of the test was determined using the Cronbach alpha, which is a measure for internal consistency of the test. Cronbach Alpha level of 0.7 is acceptable. RESULTS Demographically 80 children were enrolled for this study. Age range was 6- 214 months (medium = 13 months). Male to female ratio of 1.1:1. 70% has complete UCL The ratio of left to right unilateral cleft lip was 1.2: 1. 56% had associated cleft palate. For the lip asymmetry prevalence, our study revealed that all children had lip asymmetry with mild (16.2%), Moderate (66.3%) and Severe (17.5%). For the lip component findings were found that: Lip height asymmetry : Present in 54%; long lips more common than short Vermillion mucosa discrepancy : 53%; mostly excess mucosa Vermillion border mismatch : Severe in 18% Scar thickness : Severe in 18% Analysis of patient factors revealed that history of infection (especially respiratory) within 14 days pre-surgery was significantly associated with severe asymmetry (A0R = 5.03, p = 0.033. Other factors (cleft type, haemoglobin level, nutritional status were not statistically significant. For surgical factors our study found that: Surgical technique : Fisher technique associated with long lips and excess vermillion mucosa Cadre of surgeon : Trainees (less experienced surgeons) associated with higher severe asymmetry Post-op complications within 72 hours : Associated with increased asymmetry Post-op assessment < 6 months : AOR = 13.69, significant predictor On evaluation of the reliability of UCLAS our study found that for the Inter-rater reliability, the overall Kappa was in fair agreement (0.35–0.37) with the highest agreement the scar thickness (Kappa – 0.46). For Intra- rater reliability we found excellent for assessor 1 (Kappa = 1.0), moderate for assessor 2 (Kappa = 0.51). For internal Consistency; Cronbach’s Alpha > 0.84 across assessments, indicating strong internal consistency DISCUSSION Perfect symmetry in the human face is non-existent; every child had lip asymmetry post UCL repair aligning with literature [ 5 – 8 ]. Most asymmetries were moderate. Lip height (long lip) and vermillion mucosa excess were the most common deformities, differing from other studies (e.g., Cheema et al.) where scars and mucosa deficiency were more prevalent [ 9 ]. The widespread use of Fisher technique in this study may explain the predominance of these specific asymmetries. Only recent respiratory infections were significantly associated with severe asymmetry, potentially due to wound contamination or impaired healing. In our study center we follow a strict presurgical criteria whereby all cleft lip surgical patients should have body weight ≥ 5kgs, haemoglobin levels of > 10g/dl, no malaria parasites, white cell count of 4.5 kg at the time of surgery, hemoglobin of > 10 g/dl, and white blood cell count of < 10,000/ ml was associated with less risk of complications. However, fifteen (15) of our participants suffered from infections and majority of these (60%) suffered from respiratory tract infections 14 days prior to surgery. [ 10 ] and [ 11 ] reported that partial wound dehiscence following cleft lip repair could be due to contamination of the surgical site with mucus. This could interfere with healing resulting in lip asymmetry. Adekeye [ 11 ]. also attributed the wound dehiscence observed in his study to contamination of surgical site by the attending mothers trying to perhaps clean the mucus or hasten wound healing. These observations could perhaps explain our findings. Other anticipated factors like weight-for-age or anemia were not statistically significant. Cadre of primary surgeon was found to be associated with severe lip asymmetry. Experienced plastic surgeons had better outcomes than trainees—consistent with Narayanan’s statement that cleft surgery is more of an art honed by experience [ 12 ]. The less experienced surgeons, plastic surgery trainees, had a higher proportion of severe lip asymmetry among the participants they operated (30%) compared to those operated by experienced plastic surgeons (12%). Postoperative assessments done earlier (< 6 months) were more likely to identify severe asymmetry, possibly due to unresolved inflammation and scar remodeling. A meta-analysis study by Al Omari [ 13 ] found no consensus on the timing of measurements of cleft lip surgical outcomes. Assessments have been done as early as 4 weeks post-operative by Abdurazaq et al. [ 14 ] assessed their participants at 9 years. Early assessment could be associated with more asymmetry due to ongoing post-surgical inflammatory process and vertical lip scar contraction as observed in some studies [ 15 – 16 ]. Further research is needed to follow up cleft lips with severe lip asymmetry to establish whether they improve over time and also guide on the timing of measurement of surgical outcomes. Findings of our study revealed that the surgical technique used to repair unilateral cleft lips was associated with severe lip asymmetry. Most of the unilateral cleft lips in our study were repaired using the Fisher technique (70%) [ 17 ]. Our study also found a significant statistical association between Fisher technique and both lip height asymmetry (p = 0.001) and vermillion asymmetry (p = 0.023) (long lips and vermillion mucosa excess respectively). Grabb [ 18 ] and Cheema [ 9 ] reported similar findings. Also, majority of patients with severe cleft lip 92.9% were repaired using the fisher technique. This could be because it’s the commonest procedure used and more especially by junior surgeons. Postoperative complications like bleeding, wound dehiscence, and infections were also linked to poor symmetry, highlighting the importance of early surgical care. Visual analog unilateral cleft lip asymmetry scale for labial assessment In our study, the inter-rater reliability and intra rater reliability was found to range from fair to perfect agreement with weighted Cohen’s kappa scores ranging from 0.35–1 at 95% CIs. The reliability scores in our study are lower than findings by Adeola et al. [ 19 ], who reported substantial to almost perfect agreement with kappa values range of 0.80–0.87. The difference could be due to the fact that the raters in Adeola et al. were familiar with the assessment tool. Similar to findings by Adeola et al. [ 19 ], our study had strong internal consistency with Cronbach’s Alpha values > 0.8. Based on these results our visual analog unilateral Cleft lip asymmetry rating scale is reliable. The strength of this rating scale is its ability to immediately express the individual lip component anatomical deficiency of concern, hence the type and severity of asymmetry and perhaps, the extent of secondary surgery that may be required. The scores are nominal and ranked ordered whereby the Score 1 is the worst outcome and Score 5 is the best outcome. Thus a high score is associated with less lip asymmetry and more aesthetically acceptable. Limitations include: Levelling effect when totaling component scores (i.e., high scores may mask low ones) Only labial aesthetics assessed, excluding nasal components Nollet [50] reported that among the numerous advantages of standard rating scales for nasolabial aesthetics in unilateral cleft lip surgery, is the prospect of being able to draw comparisons between protocols, centers, and individuals and to determine the necessity for secondary surgery and type of surgery that may be required. Also a standardized tool aids in patient/caregiver communication about expected treatment outcomes of both primary and secondary unilateral cleft lip repair. CONCLUSION Severe lip asymmetry post-UCL repair at CoRSU is 17.5%. Key associated factors are pre-op respiratory infections, surgical technique, timing of assessment, surgeon’s experience, and early complications. UCLAS is a reliable tool for evaluating lip symmetry post-surgery. Abbreviations CL – Cleft Lip CP – Cleft Palate UCL – Unilateral Cleft Lip UCLAS- Unilateral Cleft Lip Asymmetry Scale CoRSU- comprehensive Rehabilitation Services in Uganda W.H.O- World Health Organization Declarations ETHICS APPROVAL AND CONSENT TO PARTICIPATE Study was approved by the Mbarara University of Science and Technology Research Ethics committee and Uganda National Council of Science and Technology (UNCST). All informed consent was obtained from only the parents of legal guardians of the participants as all participants were under age of 16 years. AVAILABILLITY OF DATA AND MATERIAL The datasets generated and analysed during this study are not publicly available as the author is still using the data set to carry out more research. COMPETEING INTERESTS The authors declare that they have no competing interests FUNDING Study was funded by Mbarara University of Science and Technology as part of its policy to help fund research projects for students. It funded all aspects of the study from proposal development to manuscript development. AUTHORS’ CONTRIBUTIONS WL was the principal investigator in the study who designed and conducted the study, analysed and interpreted the data and wrote the manuscript. AH and MT were the research supervisors providing overall guidance in the research and also critically reviewed the manuscript. All authors read and approved the final manuscript. AUTHOR INFORMATION The author is a Plastic and reconstructive surgeon trained at Mbarara University of Science and Technology (CoRSU hospital campus) and currently working at Uganda Cancer Institute as an Onco-plastic and Reconstructive Surgeon. The research study was done as a requirement for the achievement of Masters of Medicine in Plastic and Reconstructive surgery at the University. ACKNOWLWDGEMENTS Authors would like to thank all the staff at CoRSU hospital and Mbarara University of Science and Technology (MUST) for their contribution towards completion of this research References JAN SN, ANSARI KHANFA, HANIF HH, A., BAJWA A. Reducing the vermilion notch in primary lip repairs: Z-plasty versus the Noordhoff triangular flap. J Coll Physicians Surg Pak. 2012;22:307–10. MEYER-MARCOTTY P, STELLZIG-EISENHAUER A. Dentofacial self-perception and social perception of adults with unilateral cleft lip and palate. J Orofac Orthopedics/Fortschritte der Kieferorthopädie. 2009;70:224–36. DREISE M, GALIWANGO G, HODGES A. Incidence of cleft lip and palate in Uganda. Cleft Palate-Craniofacial J. 2011;48:156–60. KALANZI E, MENGISTE A, KATAMBA A. Incidence of Cleft Deformities among Neonates in Mulago National Referral hospital, Uganda. East Cent Afr J Surg. 2013;18:78–83. KUIJPERS MA, DESMEDT DJ, NADA RM, FUDALEJ BERGÉSJ, P. S., MAAL TJ. Regional facial asymmetries in unilateral orofacial clefts. Eur J Orthod. 2015;37:636–42. MEYER-MARCOTTY P, BOEHM KOCHELJ, LINZ H, C., KLAMMERT, U., STELLZIG-EISENHAUER A. Face perception in patients with unilateral cleft lip and palate and patients with severe Class III malocclusion compared to controls. J Cranio-Maxillofacial Surg. 2011;39:158–63. SPRINGER IN, ZERNIAL WANNICKEBWARNKEPH, TERHEYDEN OWILTFANGJRUSSOPA, H., REINHARDT, A., WOLFART S. 2007. Facial attractiveness: visual impact of symmetry increases significantly towards the midline. Annals of plastic surgery , 59, 156–162. VAN LOON B, VAN REDDYSG, HEERBEEK N, MAAL INGELSK, BORSTLAP TJ, KUIJPERS-JAGTMAN WAREDDYRR. A.-M. & BERGÉ, S. J. 2011. 3D stereophotogrammetric analysis of lip and nasal symmetry after primary cheiloseptoplasty in complete unilateral cleft lip repair. Rhinology , 49, 546. CHEEMA SA, ASIM M. An analysis of deformities in revision surgeries for secondary unilateral cleft lip. J Coll Physicians Surg Pakistan. 2014;24:666–9. ADESINA OA, OMEJE EFUNKOYAAA, K. U., IDON PI. Postoperative complications from primary repair of cleft lip and palate in a semi-urban Nigerian teaching hospital. Nigerian Med journal: J Nigeria Med Association. 2016;57:155. ADEKEYE E, LAVERY K. Cleft lip and palate in Nigerian children and adults: a comparative study. Br J Oral Maxillofac Surg. 1985;23:398–403. NARAYANAN PV, ADENWALLA HS. Unfavourable results in the repair of the cleft lip. Indian J Plast surgery: official publication Association Plast Surg India. 2013;46:171. AL-OMARI I, MILLETT D, AYOUB A. Methods of assessment of cleft-related facial deformity: a review. Cleft palate-craniofacial J. 2005;42:145–56. ABDURRAZAQ TO, OLUGBENGA MICHEALAOLANREAW, O. M., AKIN LL. Surgical outcome and complications following cleft lip and palate repair in a teaching hospital in Nigeria. Afr J Pediatr Surg. 2013;10:345. CUTTING CB, DAYAN JH. Lip height and lip width after extended Mohler unilateral cleft lip repair. Plast Reconstr Surg. 2003;111:17–23. discussion 24 – 6. REDDY GS, WEBB RM, REDDY, R. R., REDDY, L. V., THOMAS, P., MARKUS AF. Choice of incision for primary repair of unilateral complete cleft lip: a comparative study of outcomes in 796 patients. Plast Reconstr Surg. 2008;121:932–40. FISHER DM. Unilateral cleft lip repair: an anatomical subunit approximation technique. Plast Reconstr Surg. 2005;116:61–71. GRABB WC, ROSENSTEIN, S. W., BZOCH KR. Cleft lip and palate; surgical, dental, and speech aspects. Little Brown and Company; 1971. ADEOLA AO, OLADIMEJI AA. Developing a visual rating chart for the esthetic outcome of unilateral cleft lip and palate repair. Annals maxillofacial Surg. 2015;5:55. Tables Table 1 : patient & surgical factors associated with severe lip asymmetry COR: denotes Crude odds ratio (unadjusted), CI: denotes confidence interval, X 2 : denotes Pearson chi square Table 2: the inter-rater and intra-rater weighted cohen’s kappa statistics. Rater Reliability Test Description Overall score Lip Height Score Vermillion border line up score Vermillion mucosa score Scar thickness score Inter-Rater Series 1 0.3578 0.3574 0.4118 0.3034 0.4650 Series 2 0.3669 0.3752 0.3350 0.2694 0.4121 Intra-Rater Assessor 1 1.000 0.6480 0.5013 0.5631 0.5732 Assessor 2 0.5178 0.4847 0.4625 0.4188 0.4494 Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version 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. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-7123058","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Short Report","associatedPublications":[],"authors":[{"id":513736200,"identity":"1731e420-2b4d-41b5-9672-29121c364401","order_by":0,"name":"Lubega William","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABDUlEQVRIiWNgGAWjYDCCA8wNzBAWY+OBBwYMDPwgdkIBPi2McC0NBxKAWiQbQFoMiNICZCcACYMDICYeLXy3D7ZJF1TUyjNIJANtKbCLNj6/OvED0IXy/GIHsGqRPJfYJj3jzHHDBolEkMOSc7fdeLtZAugww5mzE7BqMTjD2CbN23aMsUEarIUZqOXsBpCWBIPb+LT8O2YP1VKfu3nG2c0/CGtpqEmEajmcu4G/dxteWyTPMDZbzzh2ILlN/iFIy/HcGTd4t1kkGEjg9AvfGeaDtwtq6mz7eY4/fPDhT3Vuf//ZzTd/VNjI80tj1wIFhxnY4GwJsEoJfMpBoA6JzX+AkOpRMApGwSgYYQAAqMhqdwPvNtoAAAAASUVORK5CYII=","orcid":"","institution":"Mbarara University of Science and Technology","correspondingAuthor":true,"prefix":"","firstName":"Lubega","middleName":"","lastName":"William","suffix":""},{"id":513736201,"identity":"dc9d24fb-c977-4930-9c1c-6620154bc2ed","order_by":1,"name":"Martin Tungotyo","email":"","orcid":"","institution":"Mbarara University of Science and Technology","correspondingAuthor":false,"prefix":"","firstName":"Martin","middleName":"","lastName":"Tungotyo","suffix":""},{"id":513736202,"identity":"7c7c7013-780d-4e39-af36-82ab884716c2","order_by":2,"name":"Andrew Hodges","email":"","orcid":"","institution":"Comprehensive Rehabilitation Services Uganda (CoRSU) hospital","correspondingAuthor":false,"prefix":"","firstName":"Andrew","middleName":"","lastName":"Hodges","suffix":""}],"badges":[],"createdAt":"2025-07-14 16:10:27","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-7123058/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-7123058/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":100367002,"identity":"a12027b1-21d5-42ca-bf62-57896ebc8ab1","added_by":"auto","created_at":"2026-01-16 07:56:43","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":811089,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7123058/v1/06eafaae-8b26-44c5-adf3-17066e5b231b.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"\u003cp\u003eValidation of a Lip Asymmetry Scale and Determination of Lip Asymmetry Associated Factors Among Children Following Primary Unilateral Cleft Lip Repair at Corsu Rehabilitation Hospital, Uganda\u003c/p\u003e","fulltext":[{"header":"Key findings included","content":"\u003cul\u003e\n \u003cli\u003e100% of participants had some degree of lip asymmetry.\u003c/li\u003e\n \u003cli\u003e17.5% had \u003cstrong\u003esevere\u003c/strong\u003e lip asymmetry.\u003c/li\u003e\n \u003cli\u003eFactors significantly associated with severe asymmetry included \u003cstrong\u003erespiratory infection 14 days prior to surgery\u003c/strong\u003e, \u003cstrong\u003esurgical technique\u003c/strong\u003e, \u003cstrong\u003esurgeon’s cadre\u003c/strong\u003e, \u003cstrong\u003eearly postoperative complications\u003c/strong\u003e, and \u003cstrong\u003eassessments within 6 months post-surgery\u003c/strong\u003e.\u003c/li\u003e\n \u003cli\u003eUCLAS proved reliable, with good intra- and inter-rater agreement and high internal consistency (Cronbach’s α \u0026gt; 0.8).\u003c/li\u003e\n\u003c/ul\u003e"},{"header":"INTRODUCTION","content":"\u003cp\u003eCleft lip (CL), often associated with cleft palate (CP), is one of the most common craniofacial anomalies. It presents both physical and psychosocial challenges, with postoperative facial appearance being a central concern. Lip asymmetry, particularly in Unilateral Cleft Lip (UCL) patients, impacts self-esteem and social integration [\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e],[\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e].\u003c/p\u003e\u003cp\u003eIn Uganda, CL/CP incidence ranges between \u003cb\u003e73–134 per 100,000\u003c/b\u003e live births [\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e],[\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e]. However, there is a scarcity of African studies focusing on postoperative lip asymmetry. There also lacks a standardized aesthetic assessment tool. Thus, this study fills that gap by evaluating lip asymmetry and validating a novel visual scale.\u003c/p\u003e"},{"header":"METHODS","content":"\u003cp\u003eA\u0026nbsp;cross sectional study conducted at CoRSU hospital, a cleft centre in Uganda, from July 2019 to April 2020.\u0026nbsp;Children with repaired UCL, minimum 3 months post-surgery and whose caregivers/parents gave written consent were enrolled.\u0026nbsp;Those with secondary lip revisions and incomplete medical records.\u003c/p\u003e\n\u003cp\u003e80 children underwent assessment and data collected included demographics, surgical details, pre-operative health status. Lip measurements were done using Castroviejo calipers. Standardized 2D photos were cropped to show only the nasolabial region evaluated.\u003c/p\u003e\n\u003cp\u003eThe visual analog Unilateral Cleft Lip Asymmetry Scale (UCLAS) was based on a 5-point Likert scale (1 = very poor, 5 = very good), the following components were scored:\u003c/p\u003e\n\u003cp\u003e1. Lip height discrepancy\u003c/p\u003e\n\u003cp\u003e2. Vermillion border shape\u003c/p\u003e\n\u003cp\u003e3. Vermillion mucosa volume\u003c/p\u003e\n\u003cp\u003e4. \u0026nbsp;Scar thickness\u003c/p\u003e\n\u003cp\u003eTotal scores:\u003c/p\u003e\n\u003cul\u003e\n \u003cli\u003e16\u0026ndash;20 = Mild asymmetry\u003c/li\u003e\n \u003cli\u003e12\u0026ndash;15 = Moderate asymmetry\u003c/li\u003e\n \u003cli\u003e4\u0026ndash;11 = Severe asymmetry\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003eAssessments were conducted twice by two cleft surgeons for reliability testing.\u003c/p\u003e\n\u003cp\u003eStatistical Analysis of the data was done using STATA version 12.0, Chi square, Fischer\u0026rsquo;s exact T test and multivariate logistic regression were performed to determine factors associated with severe lip asymmetry. Probability values (p-values) less than 0.05 were considered statistically significant.\u003c/p\u003e\n\u003cp\u003eIntra- and inter-rater reliabilities of overall scores of assessment tool were assessed using the weighted Kappa scores. The overall reliability of the test was determined using the Cronbach alpha, which is a measure for internal consistency of the test. Cronbach Alpha level of 0.7 is acceptable.\u003c/p\u003e"},{"header":"RESULTS","content":"\u003cp\u003eDemographically 80 children were enrolled for this study. Age range was 6- 214 months (medium\u0026thinsp;=\u0026thinsp;13 months). Male to female ratio of 1.1:1. 70% has complete UCL The ratio of left to right unilateral cleft lip was 1.2: 1. 56% had associated cleft palate.\u003c/p\u003e\u003cp\u003eFor the lip asymmetry prevalence, our study revealed that all children had lip asymmetry with mild (16.2%), Moderate (66.3%) and Severe (17.5%).\u003c/p\u003e\u003cp\u003eFor the lip component findings were found that:\u003c/p\u003e\u003cp\u003e\u003cul\u003e\u003cli\u003e\u003cp\u003e\u003cb\u003eLip height asymmetry\u003c/b\u003e: Present in 54%; long lips more common than short\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003e\u003cb\u003eVermillion mucosa discrepancy\u003c/b\u003e: 53%; mostly excess mucosa\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003e\u003cb\u003eVermillion border mismatch\u003c/b\u003e: Severe in 18%\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003e\u003cb\u003eScar thickness\u003c/b\u003e: Severe in 18%\u003c/p\u003e\u003c/li\u003e\u003c/ul\u003e\u003c/p\u003e\u003cp\u003eAnalysis of patient factors revealed that history of infection (especially respiratory) within 14 days pre-surgery was significantly associated with severe asymmetry (A0R\u0026thinsp;=\u0026thinsp;5.03, p\u0026thinsp;=\u0026thinsp;0.033. Other factors (cleft type, haemoglobin level, nutritional status were not statistically significant.\u003c/p\u003e\u003cp\u003eFor surgical factors our study found that:\u003c/p\u003e\u003cp\u003e\u003cul\u003e\u003cli\u003e\u003cp\u003e\u003cb\u003eSurgical technique\u003c/b\u003e: Fisher technique associated with long lips and excess vermillion mucosa\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003e\u003cb\u003eCadre of surgeon\u003c/b\u003e: Trainees (less experienced surgeons) associated with higher severe asymmetry\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003e\u003cb\u003ePost-op complications within 72 hours\u003c/b\u003e: Associated with increased asymmetry\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003e\u003cb\u003ePost-op assessment\u0026thinsp;\u0026lt;\u0026thinsp;6 months\u003c/b\u003e: AOR\u0026thinsp;=\u0026thinsp;13.69, significant predictor\u003c/p\u003e\u003c/li\u003e\u003c/ul\u003e\u003c/p\u003e\u003cp\u003e On evaluation of the reliability of UCLAS our study found that for the Inter-rater reliability, the overall Kappa was in fair agreement (0.35\u0026ndash;0.37) with the highest agreement the scar thickness (Kappa \u0026ndash; 0.46). For Intra- rater reliability we found excellent for assessor 1 (Kappa\u0026thinsp;=\u0026thinsp;1.0), moderate for assessor 2 (Kappa\u0026thinsp;=\u0026thinsp;0.51). For internal Consistency; Cronbach\u0026rsquo;s Alpha\u0026thinsp;\u0026gt;\u0026thinsp;0.84 across assessments, indicating \u003cb\u003estrong internal consistency\u003c/b\u003e\u003c/p\u003e"},{"header":"DISCUSSION","content":"\u003cp\u003ePerfect symmetry in the human face is non-existent; every child had lip asymmetry post UCL repair aligning with literature [\u003cspan additionalcitationids=\"CR6 CR7\" citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e]. Most asymmetries were moderate. Lip height (long lip) and vermillion mucosa excess were the most common deformities, differing from other studies (e.g., Cheema et al.) where scars and mucosa deficiency were more prevalent [\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e]. The widespread use of Fisher technique in this study may explain the predominance of these specific asymmetries.\u003c/p\u003e\u003cp\u003eOnly recent respiratory infections were significantly associated with severe asymmetry, potentially due to wound contamination or impaired healing. In our study center we follow a strict presurgical criteria whereby all cleft lip surgical patients should have body weight\u0026thinsp;\u0026ge;\u0026thinsp;5kgs, haemoglobin levels of \u0026gt;\u0026thinsp;10g/dl, no malaria parasites, white cell count of \u0026lt;\u0026thinsp;10,000/ml and no lower respiratory infections. Fillies [23] reported that a body weight of \u0026gt;\u0026thinsp;4.5 kg at the time of surgery, hemoglobin of \u0026gt;\u0026thinsp;10 g/dl, and white blood cell count of \u0026lt;\u0026thinsp;10,000/ ml was associated with less risk of complications. However, fifteen (15) of our participants suffered from infections and majority of these (60%) suffered from respiratory tract infections 14 days prior to surgery. [\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e] and [\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e] reported that partial wound dehiscence following cleft lip repair could be due to contamination of the surgical site with mucus. This could interfere with healing resulting in lip asymmetry. Adekeye [\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e]. also attributed the wound dehiscence observed in his study to contamination of surgical site by the attending mothers trying to perhaps clean the mucus or hasten wound healing. These observations could perhaps explain our findings. Other anticipated factors like weight-for-age or anemia were not statistically significant.\u003c/p\u003e\u003cp\u003eCadre of primary surgeon was found to be associated with severe lip asymmetry. Experienced plastic surgeons had better outcomes than trainees\u0026mdash;consistent with Narayanan\u0026rsquo;s statement that cleft surgery is more of an art honed by experience [\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e]. The less experienced surgeons, plastic surgery trainees, had a higher proportion of severe lip asymmetry among the participants they operated (30%) compared to those operated by experienced plastic surgeons (12%).\u003c/p\u003e\u003cp\u003ePostoperative assessments done earlier (\u0026lt;\u0026thinsp;6 months) were more likely to identify severe asymmetry, possibly due to unresolved inflammation and scar remodeling. A meta-analysis study by Al Omari [\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e] found no consensus on the timing of measurements of cleft lip surgical outcomes. Assessments have been done as early as 4 weeks post-operative by Abdurazaq et al. [\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e] assessed their participants at 9 years. Early assessment could be associated with more asymmetry due to ongoing post-surgical inflammatory process and vertical lip scar contraction as observed in some studies [\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e]. Further research is needed to follow up cleft lips with severe lip asymmetry to establish whether they improve over time and also guide on the timing of measurement of surgical outcomes.\u003c/p\u003e\u003cp\u003eFindings of our study revealed that the surgical technique used to repair unilateral cleft lips was associated with severe lip asymmetry. Most of the unilateral cleft lips in our study were repaired using the Fisher technique (70%) [\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e]. Our study also found a significant statistical association between Fisher technique and both lip height asymmetry (p\u0026thinsp;=\u0026thinsp;0.001) and vermillion asymmetry (p\u0026thinsp;=\u0026thinsp;0.023) (long lips and vermillion mucosa excess respectively). Grabb [\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e] and Cheema [\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e] reported similar findings. Also, majority of patients with severe cleft lip 92.9% were repaired using the fisher technique. This could be because it\u0026rsquo;s the commonest procedure used and more especially by junior surgeons.\u003c/p\u003e\u003cp\u003ePostoperative complications like bleeding, wound dehiscence, and infections were also linked to poor symmetry, highlighting the importance of early surgical care.\u003c/p\u003e\u003cp\u003e\u003cb\u003eVisual analog unilateral cleft lip asymmetry scale for labial assessment\u003c/b\u003e\u003c/p\u003e\u003cp\u003e In our study, the inter-rater reliability and intra rater reliability was found to range from fair to perfect agreement with weighted Cohen\u0026rsquo;s kappa scores ranging from 0.35\u0026ndash;1 at 95% CIs. The reliability scores in our study are lower than findings by Adeola et al. [\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e], who reported substantial to almost perfect agreement with kappa values range of 0.80\u0026ndash;0.87. The difference could be due to the fact that the raters in Adeola et al. were familiar with the assessment tool.\u003c/p\u003e\u003cp\u003eSimilar to findings by Adeola et al. [\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e], our study had strong internal consistency with Cronbach\u0026rsquo;s Alpha values\u0026thinsp;\u0026gt;\u0026thinsp;0.8.\u003c/p\u003e\u003cp\u003eBased on these results our visual analog unilateral Cleft lip asymmetry rating scale is reliable. The strength of this rating scale is its ability to immediately express the individual lip component anatomical deficiency of concern, hence the type and severity of asymmetry and perhaps, the extent of secondary surgery that may be required. The scores are nominal and ranked ordered whereby the Score 1 is the worst outcome and Score 5 is the best outcome. Thus a high score is associated with less lip asymmetry and more aesthetically acceptable.\u003c/p\u003e\u003cp\u003eLimitations include:\u003c/p\u003e\u003cp\u003e\u003cul\u003e\u003cli\u003e\u003cp\u003eLevelling effect when totaling component scores (i.e., high scores may mask low ones)\u003c/p\u003e\u003c/li\u003e\u003cli\u003e\u003cp\u003eOnly labial aesthetics assessed, excluding nasal components\u003c/p\u003e\u003c/li\u003e\u003c/ul\u003e\u003c/p\u003e\u003cp\u003eNollet [50] reported that among the numerous advantages of standard rating scales for nasolabial aesthetics in unilateral cleft lip surgery, is the prospect of being able to draw comparisons between protocols, centers, and individuals and to determine the necessity for secondary surgery and type of surgery that may be required. Also a standardized tool aids in patient/caregiver communication about expected treatment outcomes of both primary and secondary unilateral cleft lip repair.\u003c/p\u003e"},{"header":"CONCLUSION","content":"\u003cp\u003eSevere lip asymmetry post-UCL repair at CoRSU is 17.5%. Key associated factors are pre-op respiratory infections, surgical technique, timing of assessment, surgeon\u0026rsquo;s experience, and early complications. UCLAS is a reliable tool for evaluating lip symmetry post-surgery.\u003c/p\u003e"},{"header":"Abbreviations","content":"\u003cp\u003eCL \u0026ndash; Cleft Lip\u003c/p\u003e\n\u003cp\u003eCP \u0026ndash; Cleft Palate\u003c/p\u003e\n\u003cp\u003eUCL \u0026ndash; Unilateral Cleft Lip\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eUCLAS- Unilateral Cleft Lip Asymmetry Scale\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eCoRSU- comprehensive Rehabilitation Services in Uganda\u003c/p\u003e\n\u003cp\u003eW.H.O- World Health Organization\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eETHICS APPROVAL AND CONSENT TO PARTICIPATE\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eStudy was approved by the Mbarara University of Science and Technology Research Ethics committee and Uganda National Council of Science and Technology (UNCST). All informed consent was obtained from only the parents of legal guardians of the participants as all participants were under age of 16 years.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAVAILABILLITY OF DATA AND MATERIAL\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe datasets generated and analysed during this study are not publicly available as the author is still using the data set to carry out more research.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCOMPETEING INTERESTS\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors declare that they have no competing interests\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFUNDING\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eStudy was funded by Mbarara University of Science and Technology as part of its policy to help fund research projects for students. It funded all aspects of the study from proposal development to manuscript development.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAUTHORS\u0026rsquo; CONTRIBUTIONS\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eWL was the principal investigator in the study who designed and conducted the study, analysed and interpreted the data and wrote the manuscript. AH and MT were the research supervisors providing overall guidance in the research and also critically reviewed the manuscript. All authors read and approved the final manuscript.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAUTHOR INFORMATION\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe author is a Plastic and reconstructive surgeon trained at Mbarara University of Science and Technology (CoRSU hospital campus) and currently working at Uganda Cancer Institute as an Onco-plastic and Reconstructive Surgeon. The research study was done as a requirement for the achievement of Masters of Medicine in Plastic and Reconstructive surgery at the University.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eACKNOWLWDGEMENTS\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAuthors would like to thank all the staff at CoRSU hospital and Mbarara University of Science and Technology (MUST) for their contribution towards completion of this research\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eJAN SN, ANSARI KHANFA, HANIF HH, A., BAJWA A. Reducing the vermilion notch in primary lip repairs: Z-plasty versus the Noordhoff triangular flap. J Coll Physicians Surg Pak. 2012;22:307\u0026ndash;10.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eMEYER-MARCOTTY P, STELLZIG-EISENHAUER A. Dentofacial self-perception and social perception of adults with unilateral cleft lip and palate. J Orofac Orthopedics/Fortschritte der Kieferorthop\u0026auml;die. 2009;70:224\u0026ndash;36.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eDREISE M, GALIWANGO G, HODGES A. Incidence of cleft lip and palate in Uganda. Cleft Palate-Craniofacial J. 2011;48:156\u0026ndash;60.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eKALANZI E, MENGISTE A, KATAMBA A. Incidence of Cleft Deformities among Neonates in Mulago National Referral hospital, Uganda. East Cent Afr J Surg. 2013;18:78\u0026ndash;83.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eKUIJPERS MA, DESMEDT DJ, NADA RM, FUDALEJ BERG\u0026Eacute;SJ, P. S., MAAL TJ. Regional facial asymmetries in unilateral orofacial clefts. Eur J Orthod. 2015;37:636\u0026ndash;42.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eMEYER-MARCOTTY P, BOEHM KOCHELJ, LINZ H, C., KLAMMERT, U., STELLZIG-EISENHAUER A. Face perception in patients with unilateral cleft lip and palate and patients with severe Class III malocclusion compared to controls. J Cranio-Maxillofacial Surg. 2011;39:158\u0026ndash;63.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eSPRINGER IN, ZERNIAL WANNICKEBWARNKEPH, TERHEYDEN OWILTFANGJRUSSOPA, H., REINHARDT, A., WOLFART S. 2007. Facial attractiveness: visual impact of symmetry increases significantly towards the midline. \u003cem\u003eAnnals of plastic surgery\u003c/em\u003e, 59, 156\u0026ndash;162.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eVAN LOON B, VAN REDDYSG, HEERBEEK N, MAAL INGELSK, BORSTLAP TJ, KUIJPERS-JAGTMAN WAREDDYRR. A.-M. \u0026amp; BERG\u0026Eacute;, S. J. 2011. 3D stereophotogrammetric analysis of lip and nasal symmetry after primary cheiloseptoplasty in complete unilateral cleft lip repair. \u003cem\u003eRhinology\u003c/em\u003e, 49, 546.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eCHEEMA SA, ASIM M. An analysis of deformities in revision surgeries for secondary unilateral cleft lip. J Coll Physicians Surg Pakistan. 2014;24:666\u0026ndash;9.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eADESINA OA, OMEJE EFUNKOYAAA, K. U., IDON PI. Postoperative complications from primary repair of cleft lip and palate in a semi-urban Nigerian teaching hospital. Nigerian Med journal: J Nigeria Med Association. 2016;57:155.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eADEKEYE E, LAVERY K. Cleft lip and palate in Nigerian children and adults: a comparative study. Br J Oral Maxillofac Surg. 1985;23:398\u0026ndash;403.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eNARAYANAN PV, ADENWALLA HS. Unfavourable results in the repair of the cleft lip. Indian J Plast surgery: official publication Association Plast Surg India. 2013;46:171.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eAL-OMARI I, MILLETT D, AYOUB A. Methods of assessment of cleft-related facial deformity: a review. Cleft palate-craniofacial J. 2005;42:145\u0026ndash;56.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eABDURRAZAQ TO, OLUGBENGA MICHEALAOLANREAW, O. M., AKIN LL. Surgical outcome and complications following cleft lip and palate repair in a teaching hospital in Nigeria. Afr J Pediatr Surg. 2013;10:345.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eCUTTING CB, DAYAN JH. Lip height and lip width after extended Mohler unilateral cleft lip repair. Plast Reconstr Surg. 2003;111:17\u0026ndash;23. discussion 24\u0026thinsp;\u0026ndash;\u0026thinsp;6.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eREDDY GS, WEBB RM, REDDY, R. R., REDDY, L. V., THOMAS, P., MARKUS AF. Choice of incision for primary repair of unilateral complete cleft lip: a comparative study of outcomes in 796 patients. Plast Reconstr Surg. 2008;121:932\u0026ndash;40.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eFISHER DM. Unilateral cleft lip repair: an anatomical subunit approximation technique. Plast Reconstr Surg. 2005;116:61\u0026ndash;71.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eGRABB WC, ROSENSTEIN, S. W., BZOCH KR. Cleft lip and palate; surgical, dental, and speech aspects. Little Brown and Company; 1971.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eADEOLA AO, OLADIMEJI AA. Developing a visual rating chart for the esthetic outcome of unilateral cleft lip and palate repair. Annals maxillofacial Surg. 2015;5:55.\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"},{"header":"Tables","content":"\u003cp\u003e\u003cem\u003eTable\u0026nbsp;\u003c/em\u003e\u003cem\u003e1\u003c/em\u003e\u003cem\u003e:\u0026nbsp;\u003c/em\u003e\u003cem\u003epatient \u0026amp; surgical factors associated with severe lip asymmetry\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cimg src=\"data:image/png;base64,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\" width=\"546\" height=\"752\"\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCOR: denotes Crude odds ratio (unadjusted), CI: denotes confidence interval, X\u003csup\u003e2\u003c/sup\u003e: denotes Pearson chi square\u003c/strong\u003e\u003c/p\u003e\n\u003cp id=\"_Toc53978852\"\u003e\u003cem\u003eTable 2:\u0026nbsp;\u003c/em\u003ethe inter-rater and intra-rater weighted cohen\u0026rsquo;s kappa statistics.\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" class=\"fr-table-selection-hover\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 73px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eRater Reliability\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eTest\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 94px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eDescription\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 90px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eOverall score\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 89px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eLip Height Score\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 99px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eVermillion border line up score\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 99px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eVermillion mucosa score\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 95px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eScar thickness score\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" valign=\"top\" style=\"width: 73px;\"\u003e\n \u003cp\u003eInter-Rater\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 94px;\"\u003e\n \u003cp\u003eSeries 1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 90px;\"\u003e\n \u003cp\u003e0.3578\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 89px;\"\u003e\n \u003cp\u003e0.3574\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 99px;\"\u003e\n \u003cp\u003e0.4118\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 99px;\"\u003e\n \u003cp\u003e0.3034\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 95px;\"\u003e\n \u003cp\u003e0.4650\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 94px;\"\u003e\n \u003cp\u003eSeries 2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 90px;\"\u003e\n \u003cp\u003e0.3669\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 89px;\"\u003e\n \u003cp\u003e0.3752\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 99px;\"\u003e\n \u003cp\u003e0.3350\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 99px;\"\u003e\n \u003cp\u003e0.2694\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 95px;\"\u003e\n \u003cp\u003e0.4121\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"2\" valign=\"top\" style=\"width: 73px;\"\u003e\n \u003cp\u003eIntra-Rater\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 94px;\"\u003e\n \u003cp\u003eAssessor 1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 90px;\"\u003e\n \u003cp\u003e1.000\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 89px;\"\u003e\n \u003cp\u003e0.6480\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 99px;\"\u003e\n \u003cp\u003e0.5013\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 99px;\"\u003e\n \u003cp\u003e0.5631\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 95px;\"\u003e\n \u003cp\u003e0.5732\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 94px;\"\u003e\n \u003cp\u003eAssessor \u0026nbsp;2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 90px;\"\u003e\n \u003cp\u003e0.5178\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 89px;\"\u003e\n \u003cp\u003e0.4847\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 99px;\"\u003e\n \u003cp\u003e0.4625\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 99px;\"\u003e\n \u003cp\u003e0.4188\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 95px;\"\u003e\n \u003cp\u003e0.4494\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"","lastPublishedDoi":"10.21203/rs.3.rs-7123058/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7123058/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThis cross-sectional study involving 80 children assessed lip asymmetry after primary unilateral cleft lip (UCL) repair at CoRSU Rehabilitation Hospital in Uganda. The research aimed to determine the prevalence and associated factors of lip asymmetry and validate a visual analog Unilateral Cleft Lip Asymmetry Scale (UCLAS).\u003c/p\u003e","manuscriptTitle":"Validation of a Lip Asymmetry Scale and Determination of Lip Asymmetry Associated Factors Among Children Following Primary Unilateral Cleft Lip Repair at Corsu Rehabilitation Hospital, Uganda","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-09-12 18:06:06","doi":"10.21203/rs.3.rs-7123058/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"440cf5ac-6d1c-40c4-b311-fe7a48a07a33","owner":[],"postedDate":"September 12th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2026-01-13T12:55:02+00:00","versionOfRecord":[],"versionCreatedAt":"2025-09-12 18:06:06","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-7123058","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-7123058","identity":"rs-7123058","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}