Development and validation of early-stage and progression prediction models for chronic kidney disease: a retrospective study

We developed and validated early-stage prediction and progression assessment for CKD, demonstrating high discriminative ability, good calibration, and significant clinical utility. These models may facilitate early detection and dynamic risk assessment in CKD management.

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Publication Details

Journal
PeerJ
Published
2026-03-16
DOI
https://doi.org/10.7717/peerj.20931
Primary Topic
Chronic Kidney Disease and Diabetes
Type
article
Field-Weighted Citation Impact
0.00
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article

Development and validation of early-stage and progression prediction models for chronic kidney disease: a retrospective study

Qingyan Chen, Yiming Gao, Yonghui Feng, Renli Luo et al.
PeerJ
Chronic Kidney Disease and Diabetes
article

Development and validation of early-stage and progression prediction models for chronic kidney disease: a retrospective study

Qingyan Chen, Yiming Gao, Yonghui Feng, Renli Luo, Nan Li, Tongyuan Wan
article en

Abstract

We developed and validated early-stage prediction and progression assessment for CKD, demonstrating high discriminative ability, good calibration, and significant clinical utility. These models may facilitate early detection and dynamic risk assessment in CKD management.

PeerJVol. 14
First Hospital of China Medical University (CN), China Medical University (CN)
Reduced inequalities
Openalex Percentile: Top 30%
Chronic Kidney Disease and Diabetes
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