The association between estimated glucose disposal rate and self-reported diabetic retinopathy: evidence from two independent cohorts and machine learning - Takeaways - MDSpire

The association between estimated glucose disposal rate and self-reported diabetic retinopathy: evidence from two independent cohorts and machine learning

  • By

  • Chaofeng Yuan

  • Yue Hao

  • Jianghui Wang

  • Chuanxi Wang

  • Zhengxuan Jiang

  • June 26, 2026

  • 0 min

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  • 1

    The study examines the relationship between estimated glucose disposal rate (eGDR) and self-reported diabetic retinopathy (DR) prevalence.

  • 2

    A total of 1,536 participants from the NHANES were analyzed using multivariate logistic regression and machine learning approaches.

  • 3

    Results indicate a significant negative correlation between eGDR and self-reported DR prevalence (OR = 0.79, P = 0.0049).

  • 4

    The Boruta algorithm identified eGDR as a key feature, with XGBoost and random forest models showing moderate predictive performance.

  • 5

    Findings from a clinical cohort of 297 participants were consistent with the NHANES results, supporting the study's conclusions.

Original Source(s)

The association between estimated glucose disposal rate and self-reported diabetic retinopathy: evidence from two independent cohorts and machine learning

  • by Chaofeng Yuan, Yue Hao, Jianghui Wang, Chuanxi Wang, Zhengxuan Jiang

  • June 26, 2026

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