C3c deposition predicts worse renal outcomes in patients with biopsy‐proven diabetic kidney disease in type 2 diabetes mellitus-Reference-Cited by-同舟云学术

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C3c deposition predicts worse renal outcomes in patients with biopsy‐proven diabetic kidney disease in type 2 diabetes mellitus

Published:2022-03-24 Issue:4 Volume:14 Page:291-297
ISSN:1753-0393
Container-title:Journal of Diabetes
language:en
Short-container-title:Journal of Diabetes

Author:

Li Meng‐Rui¹²³⁴^ORCID,Sun Zi‐Jun¹²³⁴^ORCID,Chang Dong‐Yuan¹²³⁴,Yu Xiao‐Juan¹²³⁴,Wang Su‐Xia¹²³⁴,Chen Min¹²³⁴,Zhao Ming‐Hui¹²³⁴

Affiliation:

1. Renal Division, Department of Medicine Peking University First Hospital Beijing China

2. Institute of Nephrology Peking University Beijing China

3. Key Laboratory of Renal Disease Ministry of Health of China Beijing China

4. Research Units of Diagnosis and Treatment of Immune‐mediated Kidney Diseases Chinese Academy of Medical Sciences Beijing China

Funder

National Key Research and Development Program of China

Publisher

Wiley

Subject

Endocrinology, Diabetes and Metabolism

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/1753-0407.13264

Reference33 articles.

1. Clinical Manifestations of Kidney Disease Among US Adults With Diabetes, 1988-2014

2. Temporal Trends in the Prevalence of Diabetic Kidney Disease in the United States

3. US Renal Data System 2020 Annual Data Report: Epidemiology of Kidney Disease in the United States

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Complement anaphylatoxins: Potential therapeutic target for diabetic kidney disease;Diabetic Medicine;2024-08-27

2. Urinary renal tubular epithelial cells and casts as predictors of renal outcomes in patients with biopsy-proven diabetic nephropathy;Journal of Nephrology;2024-07-20

3. A retrospective cohort study of clinical characteristics and outcomes of type 2 diabetic patients with kidney disease;PeerJ;2024-02-19

4. Comparison of conventional mathematical model and machine learning model based on recent advances in mathematical models for predicting diabetic kidney disease;DIGITAL HEALTH;2024-01

5. Association between serum complements and kidney function in patients with diabetic kidney disease;Frontiers in Endocrinology;2023-11-17

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