ArticleScientific reports2025
Association between age at diabetes diagnosis and the development and progression of diabetic retinopathy.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Individualized FAZ morphometry and standardized peri-FAZ vascular density: a pilot AngioVue OCTA study in diabetic retinopathy.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2026Article
- Baseline Deep Capillary Plexus Ischemia Predicts Earlier Diabetic Retinopathy Complications Than Foveal Avascular Enlargement.American journal of ophthalmology · 2026Article
- Incidence and Risk Factors of Diabetic Retinopathy in Patients with Type 1 Diabetes Mellitus: A Retrospective Study in NGHA, Riyadh, Saudi Arabia.Journal of clinical medicine · 2026Article
- Two-stage diagnostic intervals in diabetic retinopathy and associated factors: a cross-sectional study.BMC ophthalmology · 2026Article
- Diabetic Retinopathy Screening in Primary Care Real Practice: Study Procedures and Baseline Characteristics from the RETINAvalid Project.Healthcare (Basel, Switzerland) · 2026Article
- Objective perimetry and diabetic retinopathy progression: a 10-year follow-up study.Frontiers in endocrinology · 2025Article
Corrections and comments
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Authors and funding
3 authors.
Funding
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Abstract
This study aimed to investigate the relationship between age at diabetes diagnosis (ADD) and the development and progression of diabetic retinopathy (DR). This study combined analysis of the National Health and Nutrition Examination Survey (NHANES) data with Mendelian randomization (MR). We employed regression models, propensity score matching, generalized additive model smoothing splines (GAM), random forest algorithms, and other analytical techniques. Cross-sectional analysis of NHANES data (n = 877) showed that the DR group had a significantly younger ADD compared to the DR-free group (P < 0.001). Regression analysis revealed a significant inverse association between ADD and DR prevalence (OR = 0.96, P < 0.001). MR analysis further supported this inverse relationship (OR = 0.42, P = 0.003). Two non-linear analytical approaches identified peak DR occurrence probability at ages 24.45 (GAM) and 24.2 (Shapley additive explanations dependence plots). Additionally, younger ADD was associated with increased DR severity across all categories (P < 0.05). In conclusion, older ADD was associated with a protective effect against the development and progression of DR, as supported by both analysis of NHANES data and MR. These findings underscore the importance of increased vigilance and more frequent screening for DR in patients diagnosed with diabetes at a young age.
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