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Construction of a dynamic prediction model for diabetic retinopathy risk in adults with adult-onset type 1 diabetes: a real-world longitudinal cohort study

Source: Frontiers - Health • Published: 28 Jul 2026, 00:00

Construction of a dynamic prediction model for diabetic retinopathy risk in adults with adult-onset type 1 diabetes: a real-world longitudinal cohort study

Report on a longitudinal cohort study that builds and validates a time-updating model to predict diabetic retinopathy risk in adult-onset type 1 diabetes patients.

Key Takeaways
  • Dynamic model outperformed a traditional static model in both discrimination and calibration
  • Proposed nomogram may serve as an auxiliary tool for predicting 2- to 3-year DR risk
  • Brier scores were all 0.05 at all time points
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