ArticleInternational journal of ophthalmology2021
An online diabetic retinopathy screening tool for patients with type 2 diabetes.
Article in International journal of ophthalmology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
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Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Risk prediction models for diabetic retinopathy: a systematic review.Frontiers in endocrinology · 2025Pooled it
- Development of machine learning predictive model for type 2 diabetic retinopathy using the triglyceride-glucose index explained by SHAP method.Frontiers in endocrinology · 2025Article
- Risk evaluation for diabetic retinopathy in Chinese renal-biopsied type 2 diabetes mellitus patients.International journal of ophthalmology · 2024Article
- Diabetic Retinopathy Grading by Deep Graph Correlation Network on Retinal Images Without Manual Annotations.Frontiers in medicine · 2022Article
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Authors and funding
6 authors.
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No grant is acknowledged in the PubMed record.
Abstract
aimTo develop a useful diabetic retinopathy (DR) screening tool for patients with type 2 diabetes mellitus (T2DM).
methodsA DR prediction model based on the Logistic regression algorithm was established on the development dataset containing 778 samples (randomly assigned to the training dataset and the internal validation dataset at a ratio of 7:3). The generalization capability of the model was assessed using an external validation dataset containing 128 samples. The DR risk calculator was developed through WeChat Developer Tools using JavaScript, which was embedded in the WeChat Mini Program.
resultsThe model revealed risk factors (duration of diabetes, diabetic nephropathy, and creatinine level) and protective factors (annual DR screening and hyperlipidemia) for DR. In the internal and external validation, the recall ratios of the model were 0.92 and 0.89, respectively, and the area under the curve values were 0.82 and 0.70, respectively.
conclusionThe DR screening tool integrates education, risk prediction, and medical advice function, which could help clinicians in conducting DR risk assessments and providing recommendations for ophthalmic referral to increase the DR screening rate among patients with T2DM.
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