ArticleDiabetes, obesity & metabolism2019
Personalized risk-based screening for diabetic retinopathy: A multivariate approach versus the use of stratification rules.
Article in Diabetes, obesity & metabolism, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 3 of them syntheses that pooled it.
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Who cites it
20 citing papers in PubMed, 3 syntheses or guidelines pooled it, 28 citations in OpenAlex.
- Machine Learning Models for Prediction of Diabetic Microvascular Complications.Journal of diabetes science and technology · 2024Pooled it
- Prognostic models of diabetic microvascular complications: a systematic review and meta-analysis.Systematic reviews · 2021Pooled it
- Prediction models for development of retinopathy in people with type 2 diabetes: systematic review and external validation in a Dutch primary care setting.Diabetologia · 2020Pooled it
- Safety and cost-effectiveness of individualised screening for diabetic retinopathy: the ISDR open-label, equivalence RCT.Diabetologia · 2021Trial
- Metformin and incidence of age-related macular degeneration in people with diabetes: a population-based 5-year case-control study.BMJ open ophthalmology · 2026Article
- Artificial Intelligence in Diabetic Retinopathy and Diabetic Macular Edema: A Narrative Review.Bioengineering (Basel, Switzerland) · 2025Review
- Artificial intelligence for early detection of diabetes mellitus complications via retinal imaging.Journal of diabetes and metabolic disorders · 2025Review
- A simple score-based strategy to improve equity of the UK biennial diabetic eye screening protocol among people deemed as low risk.Diabetologia · 2025Article
- Predicting 1, 2 and 3 year emergent referable diabetic retinopathy and maculopathy using deep learning.Communications medicine · 2024Article
- Development and validation of a risk prediction model for diabetic retinopathy in type 2 diabetic patients.Scientific reports · 2023Article
- Fast approximate inference for multivariate longitudinal data.Biostatistics (Oxford, England) · 2022Article
- Optimal Frequency of Retinopathy Screening in Adolescents With Type 1 Diabetes: Markov Modeling Approach Based on 30 Years of Data.Diabetes care · 2022Article
- Development and validation of predictive risk models for sight threatening diabetic retinopathy in patients with type 2 diabetes to be applied as triage tools in resource limited settings.EClinicalMedicine · 2022Article
- Multi-cohort and longitudinal Bayesian clustering study of stage and subtype in Alzheimer's disease.Nature communications · 2022Article
- Predictive model for diabetic retinopathy under limited medical resources: A multicenter diagnostic study.Frontiers in endocrinology · 2022Article
- Commentary: Targeted high-risk screening for diabetic retinopathy in India: Feasible short-term strategy.Indian journal of ophthalmology · 2021Article
- Trends in diabetic retinopathy screening attendance and associations with vision impairment attributable to diabetes in a large nationwide cohort.Diabetic medicine : a journal of the British Diabetic Association · 2021Article
- A personalised screening strategy for diabetic retinopathy: a cost-effectiveness perspective.Diabetologia · 2020Article
- Personalized risk-based screening for diabetic retinopathy: A multivariate approach versus the use of stratification rules.Diabetes, obesity & metabolism · 2019Article
- Role of Systemic Factors in Improving the Prognosis of Diabetic Retinal Disease and Predicting Response to Diabetic Retinopathy Treatment.Ophthalmology scienceReview
Corrections and comments
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Authors and funding
11 authors at 3 institutions in 2 countries.
Funding
Abstract
aimsTo evaluate our proposed multivariate approach to identify patients who will develop sight-threatening diabetic retinopathy (STDR) within a 1-year screen interval, and explore the impact of simple stratification rules on prediction. MATERIALS AND
methodsA 7-year dataset (2009-2016) from people with diabetes (PWD) was analysed using a novel multivariate longitudinal discriminant approach. Level of diabetic retinopathy, assessed from routine digital screening photographs of both eyes, was jointly modelled using clinical data collected over time. Simple stratification rules based on retinopathy level were also applied and compared with the multivariate discriminant approach.
resultsData from 13 103 PWD (49 520 screening episodes) were analysed. The multivariate approach accurately predicted whether patients developed STDR or not within 1 year from the time of prediction in 84.0% of patients (95% confidence interval [CI] 80.4-89.7), compared with 56.7% (95% CI 55.5-58.0) and 79.7% (95% CI 78.8-80.6) achieved by the two stratification rules. While the stratification rules detected up to 95.2% (95% CI 92.2-97.6) of the STDR cases (sensitivity) only 55.6% (95% CI 54.5-56.7) of patients who did not develop STDR were correctly identified (specificity), compared with 85.4% (95% CI 80.4-89.7%) and 84.0% (95% CI 80.7-87.6%), respectively, achieved by the multivariate risk model.
conclusionsAccurate prediction of progression to STDR in PWD can be achieved using a multivariate risk model whilst also maintaining desirable specificity. While simple stratification rules can achieve good levels of sensitivity, the present study indicates that their lower specificity (high false-positive rate) would therefore necessitate a greater frequency of eye examinations.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.