Identification of histopathological and clinical spectrum of diabetic kidney disease based on an unsupervised hierarchical clustering analysis of elderly autopsy specimens-Reference-Cited by-同舟云学术

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Identification of histopathological and clinical spectrum of diabetic kidney disease based on an unsupervised hierarchical clustering analysis of elderly autopsy specimens

Published:2022-04-24 Issue:8 Volume:27 Page:701-711
ISSN:1320-5358
Container-title:Nephrology
language:en
Short-container-title:Nephrology

Author:

Sugimoto Hikaru¹,Yumura Wako¹^ORCID,Yamaguchi Yasuko¹²,Yamanaka Noriko¹,Hashimoto Seiji¹,Arai Masahiro¹,Matsuno Shiho¹,Shimizu Akira²,Arai Tomio³,Itabashi Mitsuyo¹,Takei Takashi¹

Affiliation:

1. Department of Nephrology Tokyo Metropolitan Geriatric Hospital and Institute of Gerontology Tokyo Japan

2. Department of Analytic Human Pathology Nippon Medical School Tokyo Japan

3. Department of Pathology Tokyo Metropolitan Geriatric Hospital and Institute of Gerontology Tokyo Japan

Publisher

Wiley

Subject

Nephrology,General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/nep.14044

Reference30 articles.

1. Diabetic kidney disease

2. KDOQI in the Era of Global Guidelines

3. Regression of microalbuminuria in type 1 diabetes is associated with lower levels of urinary tubular injury biomarkers, kidney injury molecule-1, and N-acetyl-β-D-glucosaminidase

4. Normoalbuminuric Diabetic Kidney Disease in the U.S. Population

5. Regression of Microalbuminuria in Type 1 Diabetes

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