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Researchers developed and validated a risk nomogram for predicting diabetic retinopathy (DR) in type 2 diabetes (T2D) patients. Using data from 2,585 patients, key predictors like glycated hemoglobin A1c, serum urea, and diabetes duration were identified. The nomogram demonstrated good discriminatory power. The model shows promise for early intervention, though further external validation is needed.

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Researchers developed and validated a risk nomogram for predicting diabetic retinopathy (DR) in type 2 diabetes (T2D) patients. Using data from 2,585 patients, key predictors like glycated hemoglobin A1c, serum urea, and diabetes duration were identified. The nomogram demonstrated good discriminatory power. The model shows promise for early intervention, though further external validation is needed.
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