Evidence map›Paper›PMID 38212871›Full record

ArticleKidney research and clinical practice2025

Kidney biopsy can help to predict renal outcomes of patients with type 2 diabetes mellitus.

Wook-Joon Kim, Taehoon Oh, Nam Hun Heo, Kyungsup Kwon, Ga-Eun Shin, Se-Hwi Jeong, Ji Hye Lee, Samel Park, Nam-Jun Cho, Hyo-Wook Gil and 1 more

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Article in Kidney research and clinical practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.7field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 8 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 1 institution in 1 country.

Wook-Joon KimDepartment of Internal Medicine, Soonchunhyang University Cheonan Hospital, Cheonan, Republic of Korea.
Taehoon OhDepartment of Internal Medicine, Soonchunhyang University Cheonan Hospital, Cheonan, Republic of Korea.
Nam Hun HeoDepartment of Biostatistics, Soonchunhyang University Cheonan Hospital, Cheonan, Republic of Korea.
Kyungsup KwonDepartment of Medicine, College of Medicine, Soonchunhyang University, Cheonan, Republic of Korea.
Ga-Eun ShinDepartment of Medicine, College of Medicine, Soonchunhyang University, Cheonan, Republic of Korea.
Se-Hwi JeongDepartment of Medicine, College of Medicine, Soonchunhyang University, Cheonan, Republic of Korea.
Ji Hye LeeDepartment of Medicine, College of Medicine, Soonchunhyang University, Cheonan, Republic of Korea.
Samel ParkDepartment of Internal Medicine, Soonchunhyang University Cheonan Hospital, Cheonan, Republic of Korea.
Nam-Jun ChoDepartment of Internal Medicine, Soonchunhyang University Cheonan Hospital, Cheonan, Republic of Korea.
Hyo-Wook GilDepartment of Internal Medicine, Soonchunhyang University Cheonan Hospital, Cheonan, Republic of Korea.
Eun Young LeeDepartment of Internal Medicine, Soonchunhyang University Cheonan Hospital, Cheonan, Republic of Korea.
Soonchunhyang University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn patients with type 2 diabetes mellitus (T2DM), diabetic kidney disease (DKD) is diagnosed based on clinical features. A kidney biopsy is used only in selected cases. This study aimed to reconsider the role of a biopsy in predicting renal outcomes.

methodsClinical and laboratory parameters and renal biopsy results were obtained from 237 patients with T2DM who underwent renal biopsies at Soonchunhyang University Cheonan Hospital between January 2000 and March 2020 and were analyzed.

resultsOf 237 diabetic patients, 29.1% had DKD only, 61.6% had non-DKD (NDKD), and 9.3% had DKD with coexisting NDKD (DKD/NDKD). Of the patients with DKD alone, 43.5% progressed to end-stage kidney disease (ESKD), while 15.8% of NDKD patients and 36.4% of DKD/NDKD patients progressed to ESKD (p < 0.001). In the DKD-alone group, pathologic features like ≥50% global sclerosis (p < 0.001), tubular atrophy (p < 0.001), interstitial fibrosis (p < 0.001), interstitial inflammation (p < 0.001), and the presence of hyalinosis (p = 0.03) were related to worse renal outcomes. The Cox regression model showed a higher risk of progression to ESKD in the DKD/NDKD group compared to the DKD-alone group (hazard ratio [HR], 2.73; p = 0.032), ≥50% global sclerosis (HR, 3.88; p < 0.001), and the degree of mesangial expansion (moderate: HR, 2.45; p = 0.045 and severe: HR, 6.22; p < 0.001).

conclusionIn patients with T2DM, a kidney biopsy can help in identifying patients with NDKD for appropriate treatment, and it has predictive value.

Indexed as

Diabetic nephropathiesGlomerulonephritisRenal insufficiencyType 2 diabetes mellitus

Identifiers

PMID38212871
PMCPMC11838855
OpenAlexW4390790356

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.