The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.
Prevalence of Diabetic Retinopathy in the United States, 2005-2008
Open accessAbstract
CONTEXT: The prevalence of diabetes in the United States has increased. People with diabetes are at risk for diabetic retinopathy. No recent national population-based estimate of the prevalence and severity of diabetic retinopathy exists. OBJECTIVES: To describe the prevalence and risk factors of diabetic retinopathy among US adults with diabetes aged 40 years and older. DESIGN, SETTING, AND PARTICIPANTS: Analysis of a cross-sectional, nationally representative sample of the National Health and Nutrition Examination Survey 2005-2008 (N = 1006). Diabetes was defined as a self-report of a previous diagnosis of the disease (excluding gestational diabetes mellitus) or glycated hemoglobin A(1c) of 6.5% or greater. Two fundus photographs were taken of each eye with a digital nonmydriatic camera and were graded using the Airlie House classification scheme and the Early Treatment Diabetic Retinopathy Study severity scale. Prevalence estimates were weighted to represent the civilian, noninstitutionalized US population aged 40 years and older. MAIN OUTCOME MEASUREMENTS: Diabetic retinopathy and vision-threatening diabetic retinopathy. RESULTS: The estimated prevalence of diabetic retinopathy and vision-threatening diabetic retinopathy was 28.5% (95% confidence interval [CI], 24.9%-32.5%) and 4.4% (95% CI, 3.5%-5.7%) among US adults with diabetes, respectively. Diabetic retinopathy was slightly more prevalent among men than women with diabetes (31.6%; 95% CI, 26.8%-36.8%; vs 25.7%; 95% CI, 21.7%-30.1%; P = .04). Non-Hispanic black individuals had a higher crude prevalence than non-Hispanic white individuals of diabetic retinopathy (38.8%; 95% CI, 31.9%-46.1%; vs 26.4%; 95% CI, 21.4%-32.2%; P = .01) and vision-threatening diabetic retinopathy (9.3%; 95% CI, 5.9%-14.4%; vs 3.2%; 95% CI, 2.0%-5.1%; P = .01). Male sex was independently associated with the presence of diabetic retinopathy (odds ratio [OR], 2.07; 95% CI, 1.39-3.10), as well as higher hemoglobin A(1c) level (OR, 1.45; 95% CI, 1.20-1.75), longer duration of diabetes (OR, 1.06 per year duration; 95% CI, 1.03-1.10), insulin use (OR, 3.23; 95% CI, 1.99-5.26), and higher systolic blood pressure (OR, 1.03 per mm Hg; 95% CI, 1.02-1.03). CONCLUSION: In a nationally representative sample of US adults with diabetes aged 40 years and older, the prevalence of diabetic retinopathy and vision-threatening diabetic retinopathy was high, especially among Non-Hispanic black individuals.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“This care gap is a major source of health disparity, with racial and ethnic minorities, and under-resourced communities, having worse outcomes, and a disproportionately higher prevalence of DED2,5–9.”
From Autonomous artificial intelligence increases screening and follow-up for diabetic retinopathy in youth: the ACCESS randomized control trial (2024) · cites this paper as [2]
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
(1993) · New England Journal of Medicine · doi:10.1056/nejm199309303291401 · Cited by 24,667
Diagnosis and Classification of Diabetes Mellitus
American Diabetes Association (2010) · Diabetes Care · doi:10.2337/dc11-s062 · Cited by 14,094
Stearne, M. R., Palmer, S. L., Hammersley, M. S., Franklin, S. L., Spivey, R. S., Lévy, J., Tidy, C. R., Bell, N. J., Steemson, J., Barrow, B. A., et al. (1998) · UCL Discovery (University College London) · Cited by 4,803
International Expert Committee report on the role of the A1c assay in the diagnosis of diabetes
The International Expert Committee (2009) · Diabetes Care · doi:10.2337/dc09-9033 · Cited by 3,185
Turner, R. D., & Holman, R. R. (1998) · Cited by 1,974
The Wisconsin Epidemiologic Study of Diabetic Retinopathy
Klein, R. (1984) · Archives of Ophthalmology · doi:10.1001/archopht.1984.01040030398010 · Cited by 1,909
Self-citationThe Wisconsin Epidemiologic Study of Diabetic Retinopathy
Klein, R. (1984) · Archives of Ophthalmology · doi:10.1001/archopht.1984.01040030405011 · Cited by 1,482
Self-citationKlein, R., Klein, R., Moss, S. E., & Linton, K. L. P. (1992) · Ophthalmology · doi:10.1016/s0161-6420(92)32011-1 · Cited by 1,382
Self-citation
Cited by
Sorted by citations
Items 401–500 of 1,000
Rosberger, D. F. (2013) · Endocrinology and Metabolism Clinics of North America · doi:10.1016/j.ecl.2013.08.001 · Cited by 27
Villa, S. R., Álvarez, C. A., del Valle, R. D. D., Méndez, R. S., García, M. C. G., García, M. J. R., Martín, M. C., & Vazquez, M. R. (2016) · Archivos de la Sociedad Española de Oftalmología · doi:10.1016/j.oftal.2016.01.023 · Cited by 28
Abed, S., Al‐Roomi, S. A., & Alshayeji, M. H. (2016) · Applied Soft Computing · doi:10.1016/j.asoc.2016.08.015 · Cited by 27
Ogunyemi, O. I., George, S., Patty, L., Teklehaimanot, S., & Baker, R. S. (2013) · Europe PMC (PubMed Central) · Cited by 27
Expert Discussions Improve Comprehension of Difficult Cases in Medical Image Assessment
Schaekermann, M., Cai, C. J., Huang, A. E., & Sayres, R. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376290 · Cited by 28
Twenty-Year Trends in Prevalence and Incidence of Diabetic Retinal Disease
VanderBeek, B. L., Yu, Y., Cardillo, S., & Hubbard, R. A. (2025) · Ophthalmology · doi:10.1016/j.ophtha.2025.01.022 · Cited by 28
Pan, L., Liu, Y., Huang, C., Huang, Y., Lin, R., Wei, K., Zhou, Y., Yao, Y., Qin, G., & Yu, Y. (2025) · BMC Medicine · doi:10.1186/s12916-024-03832-y · Cited by 30
Fechter, C., Frazier, H., Marcus, W. B., Farooq, A., Singh, H., & Marcus, D. M. (2016) · Ophthalmic surgery, lasers & imaging retina · doi:10.3928/23258160-20161031-07 · Cited by 26
Brown, G. C., Brown, M. M., Rapuano, S. B., & Boyer, D. S. (2020) · American Journal of Ophthalmology · doi:10.1016/j.ajo.2020.07.010 · Cited by 26
Chen, J., Li, L., Zhou, Y., Zhang, J., & Chen, L. (2020) · Cell Stress and Chaperones · doi:10.1007/s12192-020-01182-1 · Cited by 26
Zhang, B., Zhang, B., Zhou, Z., Guo, Y., & Wang, D. (2021) · BMC Endocrine Disorders · doi:10.1186/s12902-021-00737-2 · Cited by 30
Noriega-Campero, A., Meizner, D., Camacho‐García‐Formentí, D., Enciso, J., Quiroz-Mercado, H., Morales-Cantón, V., Almaatouq, A., & Pentland, A. (2021) · JMIR Formative Research · doi:10.2196/25290 · Cited by 23
Ogunyemi, O. I., Gandhi, M., Lee, M., Teklehaimanot, S., Daskivich, L. P., Hindman, D. W., Lopez, K., & Taira, R. K. (2021) · JAMIA Open · doi:10.1093/jamiaopen/ooab066 · Cited by 26
Li, H., Wang, D.-X., Dong, L., & Wei, W. (2022) · European Journal of Ophthalmology · doi:10.1177/11206721221094786 · Cited by 29
Longitudinal Trends and Disparities in Diabetic Retinopathy Within an Aggregate Health Care Network
Markle, J. C., Shaia, J. K., Araich, H., Sharma, N., Talcott, K. E., & Singh, R. P. (2024) · JAMA Ophthalmology · doi:10.1001/jamaophthalmol.2024.0046 · Cited by 28
The Effects of Pleiotrophin in Proliferative Diabetic Retinopathy
Zhu, X., Bai, Y., Yu, W., Pan, C., Jin, E., Song, D., Xu, Q., Yao, Y., Huang, L., Tao, Y. K., et al. (2015) · PLoS ONE · doi:10.1371/journal.pone.0115523 · Cited by 26
Pauff, B. R., Jiroutek, M. R., Holland, M. A., & Sutton, B. S. (2015) · Clinical Therapeutics · doi:10.1016/j.clinthera.2015.03.020 · Cited by 25
Forster, A. S., Forbes, A., Dodhia, H., Connor, C., Chemin, A. D., Sivaprasad, S., Mann, S. S., & Gulliford, M. C. (2013) · Diabetes Care · doi:10.2337/dc13-0130 · Cited by 26
Evaluation of Notch3 Deficiency in Diabetes-Induced Pericyte Loss in the Retina
Liu, H., Zhang, W., & Lilly, B. (2018) · Journal of Vascular Research · doi:10.1159/000493151 · Cited by 26
Owsley, C. J., Searcey, K., Weston, J., Johnson, A., Stalvey, B. T., Liu, B., Girkin, C. A., & McGwin, G. (2013) · Journal of the National Medical Association · doi:10.1016/s0027-9684(15)30087-0 · Cited by 26
Smith, J. R., David, L. L., Appukuttan, B., & Wilmarth, P. A. (2018) · American Journal of Ophthalmology · doi:10.1016/j.ajo.2018.03.020 · Cited by 26
Prevalence of diabetic retinopathy in children and adolescents at an urban tertiary eye care center
Porter, M., Channa, R., Wagner, J., Prichett, L. M., Liu, T. Y. A., & Wolf, R. M. (2020) · Pediatric Diabetes · doi:10.1111/pedi.13037 · Cited by 27
Erdem, S., Karahan, M., Ava, S., Pekkolay, Z., Demirtaş, A. A., & Keklíkçí, U. (2020) · International Ophthalmology · doi:10.1007/s10792-020-01499-x · Cited by 25
Jang, H. N., Moon, M. K., & Koo, B. K. (2022) · Diabetes & Metabolism Journal · doi:10.4093/dmj.2021.0099 · Cited by 28
Dadzie, A. K., Le, D., Abtahi, M., Ebrahimi, B., Son, T., Lim, J. I., & Yao, X. (2023) · Translational Vision Science & Technology · doi:10.1167/tvst.12.4.3 · Cited by 25
Behavioral economics and diabetic eye exams
Williams, A. M., Liu, P. J., Muir, K. W., & Waxman, E. L. (2018) · Preventive Medicine · doi:10.1016/j.ypmed.2018.04.006 · Cited by 25
Künstliche Intelligenz und Maschinelles Lernen
Hahn, P. (2019) · Handchirurgie · Mikrochirurgie · Plastische Chirurgie · doi:10.1055/a-0826-4789 · Cited by 25
Chen, E. M., Armstrong, G. W., Cox, J. T., Wu, D. M., Hoover, D. R., Priore, L. V. D., & Parikh, R. (2019) · Ophthalmology · doi:10.1016/j.ophtha.2019.09.010 · Cited by 25
Mehra, A. A., Softing, A., Guner, M. K., Hodge, D. O., & Barkmeier, A. J. (2022) · American Journal of Ophthalmology · doi:10.1016/j.ajo.2022.08.008 · Cited by 24
Gabrielle, P., Mehta, H., Barthelmes, D., Daïen, V., Nguyen, V., Gillies, M. C., & Creuzot-Garcher, C. P. (2023) · Progress in Retinal and Eye Research · doi:10.1016/j.preteyeres.2023.101219 · Cited by 25
Chatziralli, I., Santarelli, M., Patrao, N. V., Nicholson, L., Zola, M., Rajendram, R., Hykin, P. G., & Sivaprasad, S. (2017) · Eye · doi:10.1038/eye.2017.111 · Cited by 24
Sellman, A., Katzman, P., Andréasson, S., & Löndahl, M. (2018) · Diabetic Medicine · doi:10.1111/dme.13682 · Cited by 24
The association of aldehydes exposure with diabetes mellitus in US population: NHANES 2013–2014
Weng, X., Chen, J., Fei, Q., Guo, X., Liu, S., Wen, L., Liang, H., Guo, C., Nie, L., & Jing, C. (2021) · Chemosphere · doi:10.1016/j.chemosphere.2021.133019 · Cited by 24
Genetics of Type 2 Diabetes in African Americans
Ng, M. C. Y. (2015) · Current Diabetes Reports · doi:10.1007/s11892-015-0651-0 · Cited by 24
United States comparative costs and absenteeism of diabetic ophthalmic conditions
Brook, R. A., Kleinman, N. L., Patel, S. S., Smeeding, J. E., Beren, I. A., & Turpcu, A. (2014) · Postgraduate Medicine · doi:10.1080/00325481.2014.994468 · Cited by 24
Ogunyemi, O. I., Terrien, E., Eccles, A. M., Patty, L., George, S., Fish, A. E., Teklehaimanot, S., Ilapakurthi, R., Aimiuwu, O., & Baker, R. S. (2011) · PubMed Central · Cited by 24
Eckardt, M., Brettschneider, C., van den Bussche, H., König, H., & MultiCare Study Group (2016) · Health Economics · doi:10.1002/hec.3334 · Cited by 28
Kim, K., Kim, S. J., Han, D., Jin, J., Yu, J., Park, K. S., Yu, H. G., & Kim, Y. (2013) · Journal of Proteome Research · doi:10.1021/pr3012073 · Cited by 24
Risk Factors for Open-angle Glaucoma in Persons of Latin American Descent
Wurster, P., Harris, A., Gonzalez, A., Adjei, S., Vercellin, A. C. V., Mathew, S., Lang, M., Eikenberry, J. L., & Siesky, B. A. (2019) · Journal of Glaucoma · doi:10.1097/ijg.0000000000001429 · Cited by 24
Environmental Enrichment Protects the Retina from Early Diabetic Damage in Adult Rats
Dorfman, D., Aranda, M. L., Fleitas, M. F. G., Chianelli, M. S., Fernandez, D. C., Sande, P. H., & Rosenstein, R. E. (2014) · PLoS ONE · doi:10.1371/journal.pone.0101829 · Cited by 24
Wang, X., Ji, Z., Ma, X., Zhang, Z., Yi, Z., Zheng, H., Fan, W., & Chen, C. (2021) · Journal of Diabetes Research · doi:10.1155/2021/2611250 · Cited by 23
Inward rectifier potassium (Kir) channels in the retina: living our vision
Beverley, K., & Pattnaik, B. R. (2022) · American Journal of Physiology-Cell Physiology · doi:10.1152/ajpcell.00112.2022 · Cited by 23
Detectron2 for Lesion Detection in Diabetic Retinopathy
Chincholi, F., & Koestler, H. (2023) · Algorithms · doi:10.3390/a16030147 · Cited by 23
Prevalence of Diabetic Retinopathy in Adult Chinese American Individuals
Varma, R., Wen, G., Jiang, X., Hsu, C., Torres, M., Klein, R., Azen, S. P., McKean‐Cowdin, R., & for the Chinese American Eye Study Group (2016) · JAMA Ophthalmology · doi:10.1001/jamaophthalmol.2016.0445 · Cited by 23
Self-citationFive-year experience of tele-ophthalmology for diabetic retinopathy screening in a rural population
Villa, S. R., Álvarez, C. A., del Valle, R. D. D., Méndez, R. S., García, M. C. G., García, M. J. R., Martín, M. C., & Vazquez, M. R. (2016) · Archivos de la Sociedad Española de Oftalmología (English Edition) · doi:10.1016/j.oftale.2016.05.001 · Cited by 24
Role of lipid-lowering agents in the management of diabetic retinopathy
Ioannidou, E., Tseriotis, V., & Τζιόμαλος, Κ. (2017) · World Journal of Diabetes · doi:10.4239/wjd.v8.i1.1 · Cited by 24
Otiniano, M. E., Snih, S. A., Goodwin, J. S., Ray, L., AlGhatrif, M., & Markides, K. S. (2012) · Journal of Diabetes and its Complications · doi:10.1016/j.jdiacomp.2012.03.010 · Cited by 25
Economic challenges of artificial intelligence adoption for diabetic retinopathy
Chen, E. M., Chen, D., Chilakamarri, P., Lopez, R., & Parikh, R. (2021) · Ophthalmology · doi:10.1016/j.ophtha.2020.07.043 · Cited by 21
The Impact of Race on Short-term Treatment Response to Bevacizumab in Diabetic Macular Edema
Osathanugrah, P., Sanjiv, N., Siegel, N. H., Ness, S. D., Chen, X., & Subramanian, M. L. (2020) · American Journal of Ophthalmology · doi:10.1016/j.ajo.2020.09.042 · Cited by 22
Donabedian, P. L., Dawson, E. A., Li, Q., & Chen, J. (2021) · Ophthalmic Research · doi:10.1159/000519457 · Cited by 24
Elnahry, A. G., Noureldine, A., Abdel-Kader, A. A., Sorour, O., & Ramsey, D. J. (2022) · Diabetes Metabolic Syndrome and Obesity · doi:10.2147/dmso.s351618 · Cited by 22
Liu, Z., Shao, M., Ren, J. T., Qiu, Y., Li, S., & Cao, W. (2022) · Journal of Inflammation Research · doi:10.2147/jir.s361613 · Cited by 26
Prevalence of diabetic retinopathy in Brazil: a systematic review with meta-analysis
Chagas, T. A., dos Reis, M. A., Leivas, G., Santos, L. P., Gossenheimer, A. N., Melo, G. B., Malerbi, F. K., & Schaan, B. D. (2023) · Diabetology & Metabolic Syndrome · doi:10.1186/s13098-023-01003-2 · Cited by 22
The association of antidepressant medications and diabetic retinopathy among people with diabetes
Yekta, Z., Xie, D., Bogner, H. R., Weber, D. R., Zhang, X., Harhay, M. O., & Reese, P. P. (2015) · Journal of Diabetes and its Complications · doi:10.1016/j.jdiacomp.2015.06.009 · Cited by 21
Self-citationWeiss, D. M., Casten, R. J., Leiby, B. E., Hark, L. A., Murchison, A. P., Johnson, D., Stratford, S., Henderer, J. D., Rovner, B. W., & Haller, J. A. (2015) · JAMA Ophthalmology · doi:10.1001/jamaophthalmol.2015.1760 · Cited by 22
Lee, C.-H., Li, T., Tsai, C.-I., Lin, S., Lee, I., Lee, H.-J., Wu, Y., & Su, Y. (2015) · Evidence-based Complementary and Alternative Medicine · doi:10.1155/2015/940898 · Cited by 22
The association of diabetes and positive prostate biopsy in a US veteran population
Moses, K. A., Utuama, O. A., Goodman, M. G., & Issa, M. M. (2011) · Prostate Cancer and Prostatic Diseases · doi:10.1038/pcan.2011.40 · Cited by 22
Tyrberg, M., Nyström, L., Arnqvist, H. J., Bolinder, J., Guðbjörnsdóttir, S., Landin‐Olsson, M., Eriksson, J. W., & Svensson, M. K. E. (2017) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2017.08.009 · Cited by 24
IMPACT OF PHYSICIAN COMMUNICATION ON DIABETIC EYE EXAMINATION ADHERENCE
Storey, P. P., Murchison, A. P., Pizzi, L. T., Hark, L. A., Dai, Y., Leiby, B. E., & Haller, J. A. (2015) · Retina · doi:10.1097/iae.0000000000000652 · Cited by 22
Association between biological aging and diabetic retinopathy
Tang, H., Luo, N., Zhang, X., Huang, J., Yang, Q., Lin, H., & Zhang, X. (2024) · Scientific Reports · doi:10.1038/s41598-024-60913-x · Cited by 22
Self-citationDepression and Retinopathy in Patients With Type 2 Diabetes Mellitus: A Meta-Analysis
Zou, Y., You, W., Wang, J., Wang, F., Tian, Z., Lü, J., & Sun, W. (2021) · Psychosomatic Medicine · doi:10.1097/psy.0000000000000924 · Cited by 21
Association between lncRNAs in plasma exosomes and diabetic retinopathy
Ye, Q., Li, L., Shao, Z., Xu, M., Li, L., Yan, Q., Huang, B., & Zhao, T. (2022) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.987488 · Cited by 21
Semaglutide-eye-catching results
Berković, M. C., & Strollo, F. (2023) · World Journal of Diabetes · doi:10.4239/wjd.v14.i4.424 · Cited by 21
Zhao, P. Y., Bommakanti, N. K., Yu, G., Aaberg, M. T., Patel, T. P., & Paulus, Y. M. (2023) · Scientific Reports · doi:10.1038/s41598-023-36327-6 · Cited by 23
Serhan, H. A. A., Taha, M. J. J., Abuawwad, M. T., Abdelaal, A., Irshaidat, S., Serhan, L. A., Salim, Q. F. A., Awamleh, N., Abdelazeem, B., & Elnahry, A. G. (2023) · Seminars in Ophthalmology · doi:10.1080/08820538.2023.2271095 · Cited by 21
Diabetic Macular Edema: Options for Adjunct Therapy
Calvo, P., Abadía, B., Ferreras, A., Ruiz‐Moreno, Ó., Verdes, G., & Pablo, L. E. (2015) · Drugs · doi:10.1007/s40265-015-0447-1 · Cited by 21
Prospectives for Gene Therapy of Retinal Degenerations
Thumann, G. (2012) · Current Genomics · doi:10.2174/138920212801619214 · Cited by 22
Beyond HbA1c: Environmental Risk Factors for Diabetic Retinopathy
Nwanyanwu, K. H. (2015) · Journal of Clinical & Experimental Ophthalmology · doi:10.4172/2155-9570.1000405 · Cited by 21
Large-Scale Neuronal Network Dysfunction in Diabetic Retinopathy
Huang, X., Tong, Y., Qi, C.-X., Dan, H., Deng, Q., & Shen, Y. (2020) · Neural Plasticity · doi:10.1155/2020/6872508 · Cited by 21
New developments in angiography for the diagnosis and management of diabetic retinopathy
Mustafi, D., Saraf, S. S., Shang, Q., & de Koo, L. C. O. (2020) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2020.108361 · Cited by 22
A Privacy-Preserving Approach Using Deep Learning Models for Diabetic Retinopathy Diagnosis
Ng, J. C., Yeoh, P. S. Q., Li, B., Wu, X., Hasikin, K. B., & Lai, K. W. (2024) · IEEE Access · doi:10.1109/access.2024.3469537 · Cited by 20
Tan, X., Chen, C., Zhu, Y., Deng, J., Qiu, X., Huang, S., Shang, F., Cheng, B., & Liu, Y. (2017) · Current Molecular Medicine · doi:10.2174/1566524017666170619113435 · Cited by 20
Static and Dynamic Pupillary Responses in Patients with Different Stages of Diabetic Retinopathy
Kızıltoprak, H., Tekin, K., Şekeroğlu, M. A., Yetkin, E., Doğuizi, S., & Yılmazbaş, P. (2019) · Neuro-Ophthalmology · doi:10.1080/01658107.2019.1671465 · Cited by 22
Elevated vitreous Lipocalin-2 levels of patients with proliferative diabetic retinopathy
Wang, H., Lou, H. P., Li, Y., Ji, F., Chen, W., Lu, Q., & Xu, G. (2020) · BMC Ophthalmology · doi:10.1186/s12886-020-01462-5 · Cited by 20
Peavey, J. J., D'Amico, S., Kim, B. Y., Higgins, S. T., Friedman, D. S., & Brady, C. J. (2020) · Clinical ophthalmology · doi:10.2147/opth.s258270 · Cited by 20
Sanjiv, N., Osathanugrah, P., Harrell, M. F., Siegel, N. H., Ness, S. D., Chen, X., Cabral, H., & Subramanian, M. L. (2022) · Journal of the National Medical Association · doi:10.1016/j.jnma.2021.12.016 · Cited by 21
Nomogram for Prediction of Diabetic Retinopathy Among Type 2 Diabetes Population in Xinjiang, China
Li, Y., Li, C., Zhao, S., Yin, Y., Zhang, X., & Wang, K. (2022) · Diabetes Metabolic Syndrome and Obesity · doi:10.2147/dmso.s354611 · Cited by 20
Self-citationAn Agent-Based Modeling Template for a Cohort of Veterans with Diabetic Retinopathy
Day, T. E., Ravi, N., Xian, H., & Brugh, A. (2013) · PLoS ONE · doi:10.1371/journal.pone.0066812 · Cited by 20
Czakó, C. N., Sándor, G. L., Ecsedy, M., Récsán, Z., Horváth, H., Szepessy, Z., Nagy, Z. Z., & Kovács, I. (2018) · Retina · doi:10.1097/iae.0000000000002232 · Cited by 20
PATIENTS PRESENTING EMERGENTLY WITH PROLIFERATIVE DIABETIC RETINOPATHY
Hinkle, J. W., Flynn, H. W., Banta, J. T., & Vanner, E. A. (2019) · Retina · doi:10.1097/iae.0000000000002481 · Cited by 20
The Veterans Affairs Continuous Positive Airway Pressure Use and Diabetic Retinopathy Study
Smith, J. P., Cyr, L. G., Dowd, L. K., Duchin, K. S., Lenihan, P. A., & Sprague, J. (2019) · Optometry and Vision Science · doi:10.1097/opx.0000000000001446 · Cited by 20
100 most-cited articles on diabetic retinopathy
Koh, B. M. Q. R., Banu, R., Nusinovici, S., & Sabanayagam, C. (2020) · British Journal of Ophthalmology · doi:10.1136/bjophthalmol-2020-316609 · Cited by 22
CLINICAL COURSE OF DIABETIC RETINOPATHY IN KOREAN TYPE 2 DIABETES AFTER BARIATRIC SURGERY
Kim, Y. J., Seo, D. R., Kim, M. J., Lee, S. J., Hur, K. Y., & Choi, K. S. (2015) · Retina · doi:10.1097/iae.0000000000000412 · Cited by 20
Inkjet‐printed reconfigurable and recyclable memristors on paper
Chen, J., Xiao, M., Chen, Z., Khan, S., Ghosh, S., Macadam, N., Chen, Z., Zhou, B., Yun, G., Wilk, K., et al. (2025) · InfoMat · doi:10.1002/inf2.70000 · Cited by 21
Clinician-Driven AI: Code-Free Self-Training on Public Data for Diabetic Retinopathy Referral
Korot, E., Gonçalves, M. B., Huemer, J. C., Beqiri, S., Khalid, H., Kelly, M., Chia, M. A., Mathijs, E., Struyven, R., Moussa, M. S., et al. (2023) · JAMA Ophthalmology · doi:10.1001/jamaophthalmol.2023.4508 · Cited by 20
Use of Diabetes Technologies and Retinopathy in Adults With Type 1 Diabetes
Liu, T. Y. A., Shpigel, J., Khan, F., Smith, K. E., Prichett, L. M., Channa, R., Kanbour, S., Jones, M., Abusamaan, M. S., Sidhaye, A. R., et al. (2024) · JAMA Network Open · doi:10.1001/jamanetworkopen.2024.0728 · Cited by 21
Azad, N., Bahn, G., Emanuele, N., Agrawal, L., Ge, L., Reda, D. J., Klein, R., Reaven, P. D., Hayward, R. A., & the VADT Study Group (2016) · Diabetes Care · doi:10.2337/dc15-1897 · Cited by 19
Self-citationDiabetes Care Editors’ Expert Forum 2018: Managing Big Data for Diabetes Research and Care
Riddle, M. C., Blonde, L., Gerstein, H. C., Gregg, E. W., Holman, R. R., Lachin, J. M., Nichols, G. A., Turchin, A., & Cefalu, W. T. (2019) · Diabetes Care · doi:10.2337/dci19-0020 · Cited by 21
Self-citationPredictive Models for Diabetic Retinopathy from Non-Image Teleretinal Screening Data.
Ogunyemi, O. I., Gandhi, M., & Tayek, C. (2019) · PubMed Central · Cited by 19
Elnahry, A. G., Abdel-Kader, A. A., Habib, A. E., Elnahry, G. A., Raafat, K. A., & Elrakhawy, K. E. (2020) · Reviews on Recent Clinical Trials · doi:10.2174/1574887115666200519073704 · Cited by 19
Russell, J. F., Zhou, H., Shi, Y., Shen, M., Gregori, G., Feuer, W. J., Wang, R. K., & Rosenfeld, P. J. (2021) · Retina · doi:10.1097/iae.0000000000003375 · Cited by 19
Neighborhood Deprivation and Risk of Age-Related Eye Diseases: A Follow-up Study in Sweden
Hamano, T., Li, X., Tanito, M., Nabika, T., Shiwaku, K., Sundquist, J., & Sundquist, K. (2015) · Ophthalmic Epidemiology · doi:10.3109/09286586.2015.1056537 · Cited by 19
Gao, A., Gonenc, B., Guo, J., Liu, H., Gehlbach, P. L., & Iordachita, I. I. (2016) · IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob) · doi:10.1109/biorob.2016.7523674 · Cited by 19
A Revised Approach for the Detection of Sight-Threatening Diabetic Macular Edema
Litvin, T. V., Bresnick, G. H., Cuadros, J. A., Selvin, S., Kanai, K., & Ozawa, G. Y. (2016) · JAMA Ophthalmology · doi:10.1001/jamaophthalmol.2016.4772 · Cited by 19
Predicting Risk of Diabetic Retinopathy From Retinal Vessel Analysis
Cheung, N., & Wong, T. Y. (2012) · Archives of Ophthalmology · doi:10.1001/archophthalmol.2012.727 · Cited by 19
Ng, D. S., Ruamviboonsuk, P., Apte, R. S., Bajimaya, S., Chan, C. K. M., Chang, A., Cheung, C. Y.-L., Chen, S. J., Chaudhary, V., Chaikitmongkol, V., et al. (2025) · Progress in Retinal and Eye Research · doi:10.1016/j.preteyeres.2025.101406 · Cited by 18
Self-citationRussell, J. F., Scott, N. L., Townsend, J. H., Shi, Y., Gregori, G., Crane, A. M., Flynn, H. W., Sridhar, J. S., & Rosenfeld, P. J. (2021) · Retina · doi:10.1097/iae.0000000000003146 · Cited by 18
Redesigning Clinical Pathways for Immediate Diabetic Retinopathy Screening Results
Pedersen, E. R., Cuadros, J. A., Khan, M., Fleischmann, S., Wolff, G. G., Hammel, N., Liu, Y., & Leung, G. (2021) · NEJM Catalyst · doi:10.1056/cat.21.0096 · Cited by 18
Matsunaga, D. R., Salabati, M., Obeid, A., Wibbelsman, T. D., Wu, C., Mahmoudzadeh, R., Ojalvo, I., Bilello, J. L., Sivalingam, A., Ho, A. C., et al. (2021) · American Journal of Ophthalmology · doi:10.1016/j.ajo.2021.06.028 · Cited by 18
Retinal Thickness and Morphology Changes on OCT in Youth with Type 2 Diabetes
Mititelu, M., Uschner, D., Doherty, L., Bjornstad, P., Domalpally, A., Drews, K. L., Gubitosi‐Klug, R., Levitsky, L. L., Pak, J. W., White, N. H., et al. (2022) · Ophthalmology Science · doi:10.1016/j.xops.2022.100191 · Cited by 19
Metadata
- Authors
- Zhang, X., Saaddine, J. B., Chou, C.-F., Cotch, M. F., Cheng, Y. J., Geiss, L. S., Gregg, E. W., Albright, A. L., Klein, B. E. K., & Klein, R.
- Affiliations
- Centers for Disease Control and Prevention (US)
- Corresponding author
- Zhang, Xinzhi
- ORCID
- Venue
- JAMA
- Publisher
- American Medical Association (AMA)
- Published
- 2010-08-11
- Volume
- 304
- Issue
- 6
- Pages
- 649
- ISSN
- 0002-9955 (ISSN-L)
- 0098-7484
- PMC
- PMC2945293
- OpenAlex
- W2049036672
- Cited by
- 1,196
- References
- 41
- Citations by year
- 2026: 26 · 2025: 62 · 2024: 83 · 2023: 109 · 2022: 82 · 2021: 131 · 2020: 104 · 2019: 91 · 2018: 71 · 2017: 70 · 2016: 66 · 2015: 81 · 2014: 62 · 2013: 65 · 2012: 59
- FWCI
- 55.13
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- JAMA (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (Z99 EY999999)
- U.S. Public Health Service (05FED47304)
- National Eye Institute (ZIAEY000402, Z01EY000402)
- Topics
- Health Sciences › Medicine › Ophthalmology › Retinal Diseases and Treatments
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Retinal Imaging and Analysis
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Keywords
- diabetic retinopathy, prevalence, vision-threatening diabetic retinopathy, diabetes mellitus, risk factors, sex differences, racial disparities, non-Hispanic Black adults, fundus photography, adults aged 40 and older, United States adults
- MeSH terms
- Adult, Aged, Black or African American, Cross-Sectional Studies, Diabetic Retinopathy, Female, Humans, Male, Middle Aged, Nutrition Surveys, Risk Factors, United States, Vision Disorders, Prevalence
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review