Risk stratification in diabetic kidney disease: a review of prediction models for methodological advances and clinical application
In summary, advancing the optimization and clinical translation of DKD prediction models holds significant potential to improve patient care. Future research should focus on addressing the existing challenges, aiming to advance risk-stratified and personalized management and inform future precision medicine approaches in nephrology.
Authors
- Yazhi Wang (ORCID: https://orcid.org/0009-0009-0784-084X)
- J. Christina Wang (ORCID: https://orcid.org/0009-0002-1129-0050)
- Hui Chen (ORCID: https://orcid.org/0009-0009-5028-9424)
Institutions
- Macau University of Science and Technology (MO)
- Lanzhou University Second Hospital (CN)
- Lanzhou University (CN)
Publication Details
- Journal
- Journal of Translational Medicine
- Published
- 2026-02-04
- DOI
- https://doi.org/10.1186/s12967-026-07746-6
- Primary Topic
- Chronic Kidney Disease and Diabetes
- Type
- article
- Field-Weighted Citation Impact
- 0.00