Construction and validation of a predictive model for malignant tumors in patients with membranous nephropathy

In this largest cohort to date of MN patients with malignant tumors, a predictive model was constructed using pathological parameters to estimate the risk of malignancy effectively. This tool aims to assist clinicians in decision-making and improve the prognosis of high-risk MN patients by facilitating tumor screening at the time of initial diagnosis.

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Publication Details

Journal
BMC Nephrology
Published
2025-03-22
DOI
https://doi.org/10.1186/s12882-025-04053-y
Citations
1
Primary Topic
Renal Diseases and Glomerulopathies
Type
article
Field-Weighted Citation Impact
1.43
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article

Construction and validation of a predictive model for malignant tumors in patients with membranous nephropathy

Shuaigang Sun, Zhanzheng Zhao, Huijuan Tian, Yaling Zhai et al.
1 citations
BMC Nephrology
Renal Diseases and Glomerulopathies
1.43
article

Construction and validation of a predictive model for malignant tumors in patients with membranous nephropathy

Shuaigang Sun, Zhanzheng Zhao, Huijuan Tian, Yaling Zhai, Wenhui Zhang
article en
1 citations

Abstract

In this largest cohort to date of MN patients with malignant tumors, a predictive model was constructed using pathological parameters to estimate the risk of malignancy effectively. This tool aims to assist clinicians in decision-making and improve the prognosis of high-risk MN patients by facilitating tumor screening at the time of initial diagnosis.

BMC NephrologyVol. 26(1)
Zhengzhou University (CN), First Affiliated Hospital of Zhengzhou University (CN)
Good health and well-being
Openalex Percentile: Top 22%
Renal Diseases and Glomerulopathies
1.43
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