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Outcome-specific value of longitudinal clinical information and model complexity for dynamic prediction of type 2 diabetes-related outcomes: a pooled landmarking study

Article C Peer reviewed Observational

Key takeaways

This study tested computer models to predict diabetes complications, including kidney disease. It is an observational study, so it shows a link, not proof of cause. It helps doctors spot risks earlier.

Who did this work

Meiling Fu (Guangzhou University of Chinese Medicine) · Xiaohong Liu (Guangzhou University of Chinese Medicine) · Ting Shi (Guangzhou University of Chinese Medicine) · Yuxuan Lu (Guangzhou University of Chinese Medicine) · Jie Zou (Guangzhou University of Chinese Medicine) · 黄小薇 (Guangzhou University of Chinese Medicine) · Qingmei Pan (Guangzhou University of Chinese Medicine) · Yun Chen (Guangzhou University of Chinese Medicine) · Yinqin Zhong (Guangzhou University of Chinese Medicine)

Source

Article · OpenAlex, Kidney disease concept sweep (verified C2778653478) · 2026-10-02
https://doi.org/10.3389/fendo.2026.1964592