Thylefors B, Dawson CR, Jones BR, West SK, Taylor HR, 1987. A simple system for the assessment of trachoma and its complications. Bull World Health Organ 65: 477–483.
Gebresillasie S, Tadesse Z, Shiferaw A, Yu SN, Stoller NE, Zhou Z, Emerson PM, Gaynor BD, Lietman TM, Keenan JD, 2015. Inter-rater agreement between trachoma graders: Comparison of grades given in field conditions versus grades from photographic review. Ophthalmic Epidemiol 22: 162–169.
Whitson CC et al., 2023. Photographic grading for trachoma diagnosis within trachoma impact surveys in Amhara region, Ethiopia. Trans R Soc Trop Med Hyg 117: 111–117.
Dawson CR, Jones BR, Tarizzo ML, 1981. Guide to Trachoma Control in Programmes for the Prevention of Blindness. Geneva, Switzerland: World Health Organization.
See CW, Alemayehu W, Melese M, Zhou Z, Porco TC, Shiboski S, Gaynor BD, Eng J, Keenan JD, Lietman TM, 2011. How reliable are tests for trachoma?—A latent class approach. Invest Ophthalmol Vis Sci 52: 6133–6137.
Amza A et al., 2017. A cluster-randomized trial to assess the efficacy of targeting trachoma treatment to children. Clin Infect Dis Off Dis 64: 743–750.
Amza A et al.; PRET Partnership, 2012. Community risk factors for ocular Chlamydia infection in Niger: Pre-treatment results from a cluster-randomized trachoma trial. PLoS Negl Trop Dis 6: e1586.
Amza A et al., 2013. The easiest children to reach are most likely to be infected with ocular Chlamydia trachomatis in trachoma endemic areas of Niger. PLoS Negl Trop Dis 7: e1983.
Harding-Esch EM et al.; Partnership for Rapid Elimination of Trachoma (PRET) study group, 2013. Mass treatment with azithromycin for trachoma: When is one round enough? Results from the PRET trial in the Gambia. PLoS Negl Trop Dis 7: e2115.
Melese M et al., 2008. Comparison of annual and biannual mass antibiotic administration for elimination of infectious trachoma. JAMA 299: 778–784.
Chidambaram JD et al., 2006. Effect of a single mass antibiotic distribution on the prevalence of infectious trachoma. JAMA 295: 1142–1146.
Weller BE, Bowen NK, Faubert SJ, 2020. Latent class analysis: A guide to best practice. J Black Psychol 46: 287–311.
Gamer M, Lemon J, Singh IFP, 2019. irr: Various Coefficients of Interrater Reliability and Agreement. Vienna, Austria: Comprehensive R Archive Network.
R Core Team, 2023. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing.
Gaynor BD, Amza A, Gebresailassie S, Kadri B, Nassirou B, Stoller NE, Yu SN, Cuddapah PA, Keenan JD, Lietman TM, 2014. Importance of including borderline cases in trachoma grader certification. Am J Trop Med Hyg 91: 577–579.
Renneker KK et al., 2022. Global progress toward the elimination of active trachoma: An analysis of 38 countries. Lancet Glob Health 10: e491–e500.
Naufal F, Brady CJ, Wolle MA, Kashaf MS, Mkocha H, Bradley C, Kabona G, Ngondi J, Massof RW, West SK, 2021. Evaluation of photography using head-mounted display technology (ICAPS) for district trachoma surveys. PLoS Negl Trop Dis 15: e0009928.
Socia D, Brady CJ, West SK, Cockrell RC, 2022. Detection of trachoma using machine learning approaches. PLoS Negl Trop Dis 16: e0010943.
Kim MC, Okada K, Ryner AM, Amza A, Tadesse Z, Cotter SY, Gaynor BD, Keenan JD, Lietman TM, Porco TC, 2019. Sensitivity and specificity of computer vision classification of eyelid photographs for programmatic trachoma assessment. PLoS One 14: e0210463.
Tielsch JM, West KP, Johnson GJ, Tizazu T, Schwab L, Chirambo MC, Taylor HR, 1987. Trachoma grading: Observer trials conducted in southern Malawi. Br J Ophthalmol 71: 371–374.
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Abstract Views | 19073 | 19073 | 8774 |
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The WHO has a simplified grading system for assessing trachoma. However, even for experts, it can be difficult to classify certain cases as strictly positive or negative for a given grade. Given the absence of a true gold standard, we performed a Latent Class Analysis (LCA) on a set of 200 graded photos of the superior tarsal conjunctiva. Ten trained graders assessed the presence of two trachoma grades: trachomatous inflammation–follicular (TF) and trachomatous inflammation–intense (TI). The LCA was modeled in two different ways: first with two classes (presence/absence), and then with three classes, with the extra class presumed to represent a more discrepant “borderline” case. Cohen’s κ-statistics measuring agreement between graders were calculated for TF and TI grades (separately) before and after removing the third latent class. The κ-statistic increased by 0.10 (95% CI = 0.72–0.85; P <0.001) for TF and 0.13 (95% CI = 0.81–0.90; P <0.001) for TI, indicating that the third latent class represented a discrepant-case borderline class. The identification of borderline grading cases using a three-class LCA may be useful in creating balanced grader certification examinations that represent the full spectrum of disease. Additionally, a multiclass LCA could act as a probabilistic gold standard used to train and analyze future convolutional neural network models.
Financial support: The Trachoma Elimination Follow-up trial received financial support from the
Disclosure: Upon review by the UCSF Committee on Human Research/Institutional Review Board, this study used deidentified photos and was classified as exempt research.
Current contact information: Vinayak Prathikanti, Renee Casentini, Jonathan Hwang, Ariktha Srivathsan, Isabelle Prieto, Winnie Huang, Daniel G. Eyassu, Elisabeth Gebreegziabher, Corinne Pierce, Hadley Burroughs, Jeremy D. Keenan, and Thomas M. Lietman, F. I. Proctor Foundation, Department of Ophthalmology, University of California, San Francisco, CA, E-mails: vinayak.prathikanti@gmail.com, casentini1@kenyon.edu, jonhwan@nuevaschool.org, ariktha.srivathsan@ucsf.edu, isabelleprieto1@gmail.com, winnieh531@gmail.com, deyassu@tulane.edu, elisabeth.gebreegziabher@ucsf.edu, coreypierce@berkeley.edu, hadley.burroughs@ucsf.edu, jeremy.keenan@ucsf.edu, and tom.lietman@ucsf.edu. Amza Abdou, Nassirou Beidou, and Boubacar Kadri, Programme National De Santé Oculaire, Ministère De La Santé Publique, Niamey, Niger, E-mails: dr.amzaabdou@gmail.com, nasbeido@yahoo.fr, and boubacarkadri@gmail.com.
Thylefors B, Dawson CR, Jones BR, West SK, Taylor HR, 1987. A simple system for the assessment of trachoma and its complications. Bull World Health Organ 65: 477–483.
Gebresillasie S, Tadesse Z, Shiferaw A, Yu SN, Stoller NE, Zhou Z, Emerson PM, Gaynor BD, Lietman TM, Keenan JD, 2015. Inter-rater agreement between trachoma graders: Comparison of grades given in field conditions versus grades from photographic review. Ophthalmic Epidemiol 22: 162–169.
Whitson CC et al., 2023. Photographic grading for trachoma diagnosis within trachoma impact surveys in Amhara region, Ethiopia. Trans R Soc Trop Med Hyg 117: 111–117.
Dawson CR, Jones BR, Tarizzo ML, 1981. Guide to Trachoma Control in Programmes for the Prevention of Blindness. Geneva, Switzerland: World Health Organization.
See CW, Alemayehu W, Melese M, Zhou Z, Porco TC, Shiboski S, Gaynor BD, Eng J, Keenan JD, Lietman TM, 2011. How reliable are tests for trachoma?—A latent class approach. Invest Ophthalmol Vis Sci 52: 6133–6137.
Amza A et al., 2017. A cluster-randomized trial to assess the efficacy of targeting trachoma treatment to children. Clin Infect Dis Off Dis 64: 743–750.
Amza A et al.; PRET Partnership, 2012. Community risk factors for ocular Chlamydia infection in Niger: Pre-treatment results from a cluster-randomized trachoma trial. PLoS Negl Trop Dis 6: e1586.
Amza A et al., 2013. The easiest children to reach are most likely to be infected with ocular Chlamydia trachomatis in trachoma endemic areas of Niger. PLoS Negl Trop Dis 7: e1983.
Harding-Esch EM et al.; Partnership for Rapid Elimination of Trachoma (PRET) study group, 2013. Mass treatment with azithromycin for trachoma: When is one round enough? Results from the PRET trial in the Gambia. PLoS Negl Trop Dis 7: e2115.
Melese M et al., 2008. Comparison of annual and biannual mass antibiotic administration for elimination of infectious trachoma. JAMA 299: 778–784.
Chidambaram JD et al., 2006. Effect of a single mass antibiotic distribution on the prevalence of infectious trachoma. JAMA 295: 1142–1146.
Weller BE, Bowen NK, Faubert SJ, 2020. Latent class analysis: A guide to best practice. J Black Psychol 46: 287–311.
Gamer M, Lemon J, Singh IFP, 2019. irr: Various Coefficients of Interrater Reliability and Agreement. Vienna, Austria: Comprehensive R Archive Network.
R Core Team, 2023. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing.
Gaynor BD, Amza A, Gebresailassie S, Kadri B, Nassirou B, Stoller NE, Yu SN, Cuddapah PA, Keenan JD, Lietman TM, 2014. Importance of including borderline cases in trachoma grader certification. Am J Trop Med Hyg 91: 577–579.
Renneker KK et al., 2022. Global progress toward the elimination of active trachoma: An analysis of 38 countries. Lancet Glob Health 10: e491–e500.
Naufal F, Brady CJ, Wolle MA, Kashaf MS, Mkocha H, Bradley C, Kabona G, Ngondi J, Massof RW, West SK, 2021. Evaluation of photography using head-mounted display technology (ICAPS) for district trachoma surveys. PLoS Negl Trop Dis 15: e0009928.
Socia D, Brady CJ, West SK, Cockrell RC, 2022. Detection of trachoma using machine learning approaches. PLoS Negl Trop Dis 16: e0010943.
Kim MC, Okada K, Ryner AM, Amza A, Tadesse Z, Cotter SY, Gaynor BD, Keenan JD, Lietman TM, Porco TC, 2019. Sensitivity and specificity of computer vision classification of eyelid photographs for programmatic trachoma assessment. PLoS One 14: e0210463.
Tielsch JM, West KP, Johnson GJ, Tizazu T, Schwab L, Chirambo MC, Taylor HR, 1987. Trachoma grading: Observer trials conducted in southern Malawi. Br J Ophthalmol 71: 371–374.
Past two years | Past Year | Past 30 Days | |
---|---|---|---|
Abstract Views | 19073 | 19073 | 8774 |
Full Text Views | 65 | 65 | 22 |
PDF Downloads | 39 | 39 | 21 |