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A nomogram prediction model incorporating noninvasive lens AGEs and conventional biochemical indicators for assessing and predicting diabetic kidney disease

Crossref DOI link: https://doi.org/10.1038/s41598-025-33770-5

Published Online: 2026-01-22

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Jin, Lu-Lu

Liu, Jun

Huang, Yu-Hong

Gao, Yuan

Pu, Tao

Yang, Meng-Xue

Zheng, Xiao-Di

Zhang, Chen-Hui

Zheng, Zi-Xuan
Funding

Funding for this research was provided by:

Shanghai Municipal Key Discipline (2024ZDXK0016)

Shanghai Municipal Health Commission (No. 202140345)
License Information

Text and Data Mining valid from 2026-01-22

Version of Record valid from 2026-01-27
More Information

Article History

Received: 8 September 2025

Accepted: 22 December 2025

First Online: 22 January 2026

Declarations

:

: The authors declare no competing interests.

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