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Development and validation of a risk predictive model for incident chronic kidney disease in prediabetic patients based on time-dependent Cox regression

Article C Peer reviewed Observational

Key takeaways

Doctors built a tool to predict who with prediabetes will develop kidney disease. They used records from patients seen between 2014 and 2024. The tool helps identify people at higher risk for early prevention. This is an observational study, so it shows a link, not proof of cause.

Who did this work

Pan Liu (Shanghai Medical College of Fudan University) · Chengdian Lan (Zhongshan Hospital of Xiamen University) · Ying Jin (Community Health Center) · Ben-long HU (Community Health Center) · Hua Yang (Sun Yat-sen University)

Source

Article · OpenAlex, CKD works · 2026-09-21
https://doi.org/10.1186/s12902-026-02587-2