Development of a nomogram for predicting renal survival in patients with biopsy-proven diabetic nephropathy
This study developed a predictive model to assess the risk and timing of ESKD progression in DN patients. As a quantitative tool, this model enables clinicians to estimate the 5-year risk of ESKD, facilitating timely interventions to improve patient outcomes.
Authors
- Jiang De-wen
- Caiming Chen (ORCID: https://orcid.org/0000-0002-8021-6842)
- Zishan Lin (ORCID: https://orcid.org/0000-0003-3513-6939)
- Yang Feng (ORCID: https://orcid.org/0000-0001-7746-7598)
- Jianxin Wan (ORCID: https://orcid.org/0000-0002-6733-0472)
- Tao Xuan (ORCID: https://orcid.org/0009-0003-6009-1784)
- Shidong Xie (ORCID: https://orcid.org/0000-0002-3487-8183)
- Yanfang Xu (ORCID: https://orcid.org/0000-0002-6207-545X)
- Xiaohong Zhang (ORCID: https://orcid.org/0000-0001-8958-3430)
- Hong Chen (ORCID: https://orcid.org/0000-0001-8764-0024)
- Wenfeng Wang (ORCID: https://orcid.org/0000-0003-4083-4344)
- Tao Hong (ORCID: https://orcid.org/0000-0002-1315-7985)
Institutions
- Fujian Medical University (CN)
- First Affiliated Hospital of Fujian Medical University (CN)
Publication Details
- Journal
- Frontiers in Endocrinology
- Published
- 2025-03-27
- DOI
- https://doi.org/10.3389/fendo.2025.1532494
- Citations
- 2
- Primary Topic
- Chronic Kidney Disease and Diabetes
- Type
- article
- Field-Weighted Citation Impact
- 2.86