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Enrolment characteristics in age-related macular degeneration clinical trials: a cross-sectional study

Abstract

Background/Objectives

To investigate demographic enrolment characteristics in age-related macular degeneration (AMD) trials.

Subjects/Methods

Clinicaltrials.gov was searched with “age-related macular degeneration” to identify RCTs with double, triple, or quadruple masking. Trial (e.g., study location, phase, masking, trial initiation year, and sponsor origin) and patient demographic data were collected. Sex-based AMD disease burdens were retrieved from the Global Burden of Disease database to calculate pooled female population-to-prevalence ratios (PPRs). Equitable trial enrolment was defined as PPR between 0.8–1.2. Demographic proportions were evaluated across trial characteristics using the Kruskal–Wallis test (alpha = 0.05) followed by post hoc comparisons. Secondary outcomes included absolute number of enrolled female, racial, and ethnic groups, and the association of trial characteristics with these demographics.

Results

We included 106 trials (77,939 patients; 46.3% female), spanning 1990–2020. The pooled female PRR was 0.88 (95% confidence interval [CI]: 0.82, 0.94). PPR values were inconclusive studies with quadruple blinding; phase I, III, IV, or not applicable status; foreign (non-US) site; US-only and foreign-only sponsor; and an initiation year before 2010. There was no significant difference in PPR between sublevels of analysed trial characteristics. Of the 74 (69.8%) trials that adequately detailed race, White participants comprised the largest group (N = 57,917; 82% of total participants). Thirty-seven (34.9%) trials adequately detailed ethnicity. The absolute enrolment of race and ethnic groups did not generally exhibit significant difference between sublevels of analysed trial characteristics.

Conclusions

Female enrolment was commensurate to their disease burden across all trial characteristics. Race and ethnicity were under-reported. Future trials should prioritise equitable study enrolment strategies.

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Data availability

Available upon reasonable request to the corresponding author.

References

  1. Lim LS, Mitchell P, Seddon JM, Holz FG, Wong TY. Age-related macular degeneration. Lancet. 2012;379:1728–38.

    PubMed  Google Scholar 

  2. More P, Almuhtaseb H, Smith D, Fraser S, Lotery AJ. Socio-economic status and outcomes for patients with age-related macular degeneration. Eye. 2019;33:1224–31.

    PubMed  PubMed Central  Google Scholar 

  3. Shughoury A, Sevgi DD, Ciulla TA. Molecular genetic mechanisms in age-related macular degeneration. Genes. 2022;13:1233.

  4. Yuk J-S, Hwang JH. Menopause and the risk of developing age-related macular degeneration in Korean women. J Clin Med. 2022;11:1899.

  5. Pennington KL, DeAngelis MM. Epidemiology of age-related macular degeneration (AMD): associations with cardiovascular disease phenotypes and lipid factors. Eye Vis. 2016;3:34.

    Google Scholar 

  6. Miao Z, Pei-Chen D, Jing-Hong L, Xiao-Feng Z, Chen-Wei P. Geographic distributions of age-related macular degeneration incidence: a systematic review and meta-analysis. Br J Ophthalmol. 2021;105:1427.

    Google Scholar 

  7. Chang MA, Bressler SB, Munoz B, West SK. Racial differences and other risk factors for incidence and progression of age-related macular degeneration: Salisbury Eye Evaluation (SEE) Project. Invest Ophthalmol Vis Sci. 2008;49:2395–402.

    PubMed  Google Scholar 

  8. Aninye IO, Digre K, Hartnett ME, Baldonado K, Shriver EM, Periman LM, et al. The roles of sex and gender in women’s eye health disparities in the United States. Biol Sex Differ. 2021;12:57.

    PubMed  PubMed Central  Google Scholar 

  9. Lin X, Lou L, Miao Q, Wang Y, Jin K, Shan P, et al. The pattern and gender disparity in global burden of age-related macular degeneration. Eur J Ophthalmol. 2020;31:1161–70.

    PubMed  Google Scholar 

  10. Tao BK, Vosoughi AR, He B, Ling J, Xia M, Rocha G, et al. Representational disparity of sex, race, and ethnicity in presbyopia clinical trials: a cross-sectional study. Eye. 2023;37:3871–3.

    PubMed  PubMed Central  Google Scholar 

  11. Tao B, Xie J, Xia M, Marzban S, Vosoughi A, Ahuja N, et al. Diversity in enrollment to clinical trials for cataract medicine and surgery: a meta-analysis. J Cataract Refract Surg. 2024;50:460–7.

  12. Berkowitz ST, Groth SL, Gangaputra S, Patel S. Racial/ethnic disparities in ophthalmology clinical trials resulting in US Food and Drug Administration Drug Approvals from 2000 to 2020. JAMA Ophthalmol. 2021;139:629–37.

    PubMed  PubMed Central  Google Scholar 

  13. Bowe T, Salabati M, Soares RR, Huang C, Singh RP, Khan MA, et al. Racial, ethnic, and gender disparities in diabetic macular edema clinical trials. Ophthalmol Retin. 2022;6:531–3.

    Google Scholar 

  14. Vos T, Lim SS, Abbafati C, Abbas KM, Abbasi M, Abbasifard M, et al. Global burden of 369 diseases and injuries in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet. 2020;396:1204–22.

    Google Scholar 

  15. About the topic of race. United States Census Bureau; Suitland, Maryland, United States: 2023. https://www.census.gov/topics/population/race/about.html.

  16. Blakeslee L, Caplan Z, Meyer JA, Rabe MA, Roberts AW. Age and sex composition: 2020. United States Census Buruea; Suitland, Maryland, United States: 2023. https://www.census.gov/library/publications/2023/decennial/c2020br-06.html.

  17. Chen S, Li J, Shu M. Use of participation to prevalence ratio for evaluating the representation status of women in oncology clinical trials. JAMA Oncol. 2022;8:479–80.

    PubMed  Google Scholar 

  18. Togioka BM, Duvivier D, Young E. Diversity and discrimination in healthcare. Treasure Island (FL): StatPearls Publishing; 2023.

  19. Clark LT, Watkins L, Piña IL, Elmer M, Akinboboye O, Gorham M, et al. Increasing diversity in clinical trials: overcoming critical barriers. Curr Probl Cardiol. 2019;44:148–72.

    PubMed  Google Scholar 

  20. Schwartz AL, Alsan M, Morris AA, Halpern SD. Why diverse clinical trial participation matters. N Engl J Med. 2023;388:1252–4.

    PubMed  Google Scholar 

  21. Sharma A, Palaniappan L. Improving diversity in medical research. Nat Rev Dis Prim. 2021;7:74.

    PubMed  Google Scholar 

  22. Birnbaum FA. Gender and ethnicity of enrolled participants in U.S. Food and Drug Administration (FDA) clinical trials for approved ophthalmological new molecular entities. J Natl Med Assoc. 2018;110:473–9.

    PubMed  Google Scholar 

  23. Moore DB. Reporting of race and ethnicity in the ophthalmology literature in 2019. JAMA Ophthalmol. 2020;138:903–6.

    PubMed  Google Scholar 

  24. QuickFacts. United States Census Bureau; 2023. https://www.census.gov/quickfacts/fact/table/US/PST045222.

  25. Klein R, Klein BEK, Knudtson MD, Wong TY, Cotch MF, Liu K, et al. Prevalence of age-related macular degeneration in 4 racial/ethnic groups in the multi-ethnic study of atherosclerosis. Ophthalmology. 2006;113:373–80.

    PubMed  Google Scholar 

  26. Yanagi Y, Foo VHX, Yoshida A. Asian age-related macular degeneration: from basic science research perspective. Eye. 2019;33:34–49.

    PubMed  Google Scholar 

  27. Fisher DE, Klein BEK, Wong TY, Rotter JI, Li X, Shrager S, et al. Incidence of age-related macular degeneration in a multi-ethnic United States population: the Multi-Ethnic Study of Atherosclerosis. Ophthalmology. 2016;123:1297–308.

    PubMed  Google Scholar 

  28. Kaakour A-H, Hua H-U, Rachitskaya A. Representation of race and ethnicity in randomized clinical trials of diabetic macular edema and retinal vein occlusion compared to 2010 US Census Data. JAMA Ophthalmol. 2022;140:1096–102.

    PubMed  PubMed Central  Google Scholar 

  29. Sanjiv N, Osathanugrah P, Harrell M, Siegel NH, Ness S, Chen X, et al. Race and ethnic representation among clinical trials for diabetic retinopathy and diabetic macular edema within the United States: a review. J Natl Med Assoc. 2022;114:123–40.

    PubMed  Google Scholar 

  30. Allison K, Patel DG, Greene L. Racial and ethnic disparities in primary open-angle glaucoma clinical trials: a systematic review and meta-analysis. JAMA Netw Open. 2021;4:e218348.

    PubMed  PubMed Central  Google Scholar 

  31. Yu AJ, Masalkhi M, Brown R, Chen B, Chhablani J. Racial and ethnic distribution in diabetic macular edema clinical trials in the United States (2002–2021). Ophthalmol Retina. 2023;7:1035–41.

  32. Murakami Y, Lee BW, Duncan M, Kao A, Huang J-Y, Singh K, et al. Racial and ethnic disparities in adherence to glaucoma follow-up visits in a county hospital population. Arch Ophthalmol. 2011;129:872–8.

    PubMed  Google Scholar 

  33. Racette L, Wilson MR, Zangwill LM, Weinreb RN, Sample PA. Primary open-angle glaucoma in Blacks: a review. Surv Ophthalmol. 2003;48:295–313.

    PubMed  Google Scholar 

  34. Mahr MA, Hodge DO, Erie JC. Racial differences in age-related macular degeneration and associated anti–vascular endothelial growth factor intravitreal injections among medicare beneficiaries. Ophthalmol Retin. 2018;2:1188–95.

    Google Scholar 

  35. Number of clinical trials by year, country, WHO region and income group (1999-2022). World Health Organization; Geneva, Switzerland: 2024. https://www.who.int/observatories/global-observatory-on-health-research-and-development/monitoring/number-of-clinical-trials-by-year-country-who-region-and-income-group.

  36. Flanagin A, Frey T, Christiansen SL. Committee AMAMoS. Updated guidance on the reporting of race and ethnicity in medical and science journals. JAMA. 2021;326:621–7.

    PubMed  Google Scholar 

  37. Tao BK, Xie JS, Kohly RP, Margolin E. Disease burden descriptions in trial protocols. Lancet. 2024;404:238–9.

    PubMed  Google Scholar 

  38. Seidler E, Keshaviah A, Brown C, Wood E, Granick L, Kimball A. Geographic distribution of clinical trials may lead to inequities in access. Clin Investig. 2014;4:373–80.

    CAS  Google Scholar 

  39. clinicaltrials.gov. National Library of Medicine. Bethesda, Maryland, United States https://clinicaltrials.gov/about-site/about-ctg.

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Authors and Affiliations

Authors

Contributions

Conceptualisation: BT, JSX, RK; methodology: BT, JSX; software: BT; validation: all authors; formal analysis: BT; investigation: BT, JSX, VL, MP, JX; resources: BT; data curation: BT, JSX, VL, MP, JX; writing original draft: all authors; writing review & editing: all authors; visualisation: BT; supervision: JSX, CL, PY, NN, WCL, EVN, RM, RK; project administration: BT; funding acquisition: not applicable.

Corresponding author

Correspondence to Radha P. Kohly.

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The authors declare no competing interests.

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Under article 2.4 of the Tri-Council Policy Statement, institutional review board approval was waived since all data were sources from published primary research and publicly available registries. No identifiable information was generated by this work.

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Tao, B.K., Xie, J.S., Leung, V. et al. Enrolment characteristics in age-related macular degeneration clinical trials: a cross-sectional study. Eye 39, 1153–1159 (2025). https://doi.org/10.1038/s41433-024-03572-6

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