Prediction models for progression from diabetic kidney disease to end-stage renal disease: a systematic review and meta-analysis - Takeaways - MDSpire

Prediction models for progression from diabetic kidney disease to end-stage renal disease: a systematic review and meta-analysis

  • By

  • Yang Shi

  • Zhaoxi Dong

  • Xiaomeng Shan

  • Xiqian Wang

  • Siyu Huang

  • Hongfang Liu

  • Linqi Zhang

  • May 20, 2026

  • 0 min

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  • 1

    Diabetic kidney disease (DKD) is a leading cause of end-stage renal disease (ESRD), necessitating early identification of high-risk patients.

  • 2

    This systematic review and meta-analysis evaluated prediction models for progression from established DKD to ESRD, highlighting methodological limitations.

  • 3

    Fifteen studies were included, all assessed at high risk of bias, primarily due to retrospective designs and inadequate external validation.

  • 4

    Pooled AUCs indicated promising discrimination for training models (0.896) and validation models (0.863), but results remain exploratory.

  • 5

    Future studies should focus on prospective multicenter designs with rigorous external validation to enhance clinical applicability of DKD prediction models.

Original Source(s)

Prediction models for progression from diabetic kidney disease to end-stage renal disease: a systematic review and meta-analysis

  • by Yang Shi, Zhaoxi Dong, Xiaomeng Shan, Xiqian Wang, Siyu Huang, Hongfang Liu, Linqi Zhang

  • May 20, 2026

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