Observational studyFrontiers in endocrinology2021
A Diagnostic Model for Screening Diabetic Retinopathy Using the Hand-Held Electroretinogram Device RETeval.
Observational study in Frontiers in endocrinology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 17 citations in OpenAlex.
- Functional assessment of diabetic macular edema using flicker electroretinography.Indian journal of ophthalmology · 2026Article
- The Mydriasis-Free Handheld ERG Device and Its Utility in Clinical Practice: A Review.Biomedicines · 2026Review
- Artificial intelligence-based analysis of visual electrophysiological signals for clinical interpretation support.Frontiers in neuroscience · 2026Review
- Article
- The Combination of Retinal Neurovascular Unit Changes With Carotid Artery Stenosis Enhances the Prediction of Ischemic Stroke.Translational vision science & technology · 2025Article
- Retinal Biomarkers in Diabetic Retinopathy: From Early Detection to Personalized Treatment.Journal of clinical medicine · 2025Review
- Electrophysiological findings in long-term type 1 diabetes patients without diabetic retinopathy using different ERG recording systems.Scientific reports · 2024Article
- Assessment of factors affecting flicker ERGs recorded with RETeval from data obtained from health checkup screening.PloS one · 2023Article
- Advances in cell therapies using stem cells/progenitors as a novel approach for neurovascular repair of the diabetic retina.Stem cell research & therapy · 2022Review
- A Classification Tree Model with Optical Coherence Tomography Angiography Variables to Screen Early-Stage Diabetic Retinopathy in Diabetic Patients.Journal of ophthalmology · 2022Article
- Predicting Progression to Vision-Threatening Complications in Diabetic Retinopathy.Ophthalmology scienceArticle
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: To construct a proper model to screen for diabetic retinopathy (DR) with the RETeval. Method: This was a cross-sectional study. Two hundred thirty-two diabetic patients and seventy controls were recruited. The DR risk assessment protocol was performed to obtain subjects' DR risk score using the RETeval. Afterwards, the receiver operating characteristic (ROC) curve was used to determine the best cutoff for diagnosing DR. Random forest and decision tree models were constructed. Results: With increasing DR severity, the DR score gradually increased. When the DR score was used to diagnose DR, the ROC curve had an area under the curve of 0.881 (95% confidence interval: 0.836-0.927, P < 0.001), with a best cutoff value of 22.95, a sensitivity of 74.3% (95 CI: 66.0%~82.6%), and a specificity of 90.6% (95 CI: 83.7% ~94.8%). The top four risk factors selected by the random forest were used to construct the decision tree for diagnosing DR, which had a sensitivity of 93.3% (95% CI: 86.3%~97.0%) and a specificity of 80.3% (95% CI: 72.1% ~86.6%). Conclusions: The DR risk assessment protocol combined with the decision tree model was innovatively used to evaluate the risk of DR, improving the sensitivity of diagnosis, which makes this method more suitable than the current protocol for DR screening.
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