Performance of novel biomarkers for prediction of diabetic kidney disease in patients with diabetes mellitus

Our study demonstrated that the four-biomarker model performed the best in predicting DKD, which could provide more accurate tools for DKD risk prediction, thereby improving the prognosis in DM patients.

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Publication Details

Journal
Annals of Medicine
Published
2025-09-25
DOI
https://doi.org/10.1080/07853890.2025.2562996
Citations
3
Primary Topic
Artificial Intelligence in Healthcare
Type
article
Field-Weighted Citation Impact
8.81
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article

Performance of novel biomarkers for prediction of diabetic kidney disease in patients with diabetes mellitus

Ling Sun, Lu‐Xi Zou, Chen-Huan Qian, Zhaoqing Hou et al.
3 citations
Annals of Medicine
Artificial Intelligence in Healthcare
8.81
article

Performance of novel biomarkers for prediction of diabetic kidney disease in patients with diabetes mellitus

Ling Sun, Lu‐Xi Zou, Chen-Huan Qian, Zhaoqing Hou, Xue Wang
article en
3 citations

Abstract

Our study demonstrated that the four-biomarker model performed the best in predicting DKD, which could provide more accurate tools for DKD risk prediction, thereby improving the prognosis in DM patients.

Annals of MedicineVol. 57(1)
Xuzhou Medical College (CN), Xuzhou Central Hospital (CN)
Openalex Percentile: Top 2%
Artificial Intelligence in Healthcare
8.81
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