Scoring and validation of a simple model for predicting diabetic retinopathy in patients with type 2 diabetes based on a meta-analysis approach of 21 cohorts.

ABSTRACT:

Aim

To develop and validate a model for predicting diabetic retinopathy (DR) in patients with type 2 diabetes.

Methods

All risk factors with statistical significance in the DR prediction model were scored by their weights. Model performance was evaluated by the area under the receiver operating characteristic (ROC) curve, Kaplan-Meier curve, calibration curve and decision curve analysis. The prediction model was externally validated using a validation cohort from a Chinese hospital.

Results

In this meta-analysis, 21 cohorts involving 184,737 patients with type 2 diabetes were examined. Sex, smoking, diabetes mellitus (DM) duration, albuminuria, glycated haemoglobin (HbA1c), systolic blood pressure (SBP) and TG were identified to be statistically significant. Thus, the

SUBMITTER: Guo H 

PROVIDER: S-EPMC11485693 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature