Evidence map›Paper›PMID 41323720›Full record

ArticleKidney medicine2025

Temporal and Demographic Trends in Biopsy-Proven Kidney Disease Diagnoses in the Southwestern United States, 1993-2022.

Akira Takahashi, Daisuke Kiyozawa, Takamasa Miyauchi, James Mirocha, Yi Mi Kevin Ren, Toshiki Doi, Hae Yoon Grace Choung, Mercury Y Lin, Jean Hou, Takao Masaki and 4 more

Abstract read
In one paragraph

Article in Kidney medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Akira TakahashiDepartment of Pathology and Laboratory Medicine, Cedars-Sinai Medical Center, Los Angeles, CA.
Daisuke KiyozawaDepartment of Pathology and Laboratory Medicine, Cedars-Sinai Medical Center, Los Angeles, CA.
Takamasa MiyauchiDepartment of Pathology and Laboratory Medicine, Cedars-Sinai Medical Center, Los Angeles, CA.
James MirochaGeneral Clinical Research Center, Clinical & Translational Science Institute, Cedars-Sinai Medical Center, Los Angeles, CA.
Yi Mi Kevin RenDepartment of Pathology and Laboratory Medicine, Cedars-Sinai Medical Center, Los Angeles, CA.
Toshiki DoiDepartment of Nephrology, Hiroshima University Hospital, Hiroshima, Japan.
Hae Yoon Grace ChoungDepartment of Pathology and Laboratory Medicine, Cedars-Sinai Medical Center, Los Angeles, CA.
Mercury Y LinDepartment of Pathology and Laboratory Medicine, Cedars-Sinai Medical Center, Los Angeles, CA.
Jean HouDepartment of Pathology and Laboratory Medicine, Cedars-Sinai Medical Center, Los Angeles, CA.
Takao MasakiDepartment of Nephrology, Hiroshima University Hospital, Hiroshima, Japan.
Yoshinao OdaDepartment of Anatomic Pathology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Mark HaasDepartment of Pathology and Laboratory Medicine, Cedars-Sinai Medical Center, Los Angeles, CA.
Cynthia C NastDepartment of Pathology and Laboratory Medicine, Cedars-Sinai Medical Center, Los Angeles, CA.
Michifumi YamashitaDepartment of Pathology and Laboratory Medicine, Cedars-Sinai Medical Center, Los Angeles, CA.

Funding

The Effect of Nanoparticle Encapsulated Resveratrol on Treatment of PeriodontitisKL2TR001882 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Elizabeta Nemeth · 2016 to 2026
$13.1M
NCATS NIH HHS KL2 TR001882
6 · The paper itself

Abstract

Rationale & Objective: Kidney biopsy is vital to diagnose and manage medical kidney diseases. However, not many large-scale studies for medical kidney disease have been reported worldwide. We describe 30-year temporal and demographic trends in biopsy-proven glomerular and nonglomerular diseases in the Southwestern United States. Study Design: Retrospective single-center cohort study. Setting & Participants: Native kidney biopsy cases referred to the Renal Pathology Service at Cedars-Sinai Medical Center between 1993 and 2022. Predictors: Biopsy era (1993-2002, 2003-2012, and 2013-2022) and demographics (age, sex, and race) were primary and secondary predictors. Outcomes: Relative frequencies (percentages) of 35 widely recognized glomerular/ nonglomerular disease categories are primary outcome. Analytical Approach: Non-numerical and numerical variables were compared using χ Results: In total, 57,613 patients were identified, with a mean age 51.0 (± 19.2) years, 52.2% men, 53.8% White, 19.5% Latino, 11.0% Black, 10.2% Asian, and 5.5% other race. Glomerular disease relative frequency was always higher than nonglomerular disease frequency. Among the glomerular diseases, the relative frequency of diabetic glomerulosclerosis in our cohort was constantly and rapidly increasing, whereas those of other glomerular disease categories were decreasing except for antineutrophil cytoplasmic antibody/pauci-immune glomerulonephritis. However, the decline in the relative frequency of glomerular diseases was much less apparent when diabetic glomerulosclerosis was removed. Among the nonglomerular diseases, acute tubular necrosis was increasing in frequency. These temporal trends were largely preserved in all demographic subgroups, although there were several cross-sectional differences of glomerular disease frequencies within each demographic subgroup. Limitation: Retrospective and observational study design, no patient/kidney outcomes, some missing patients' data, and possible misclassification of disease categorization. Conclusions: To our best knowledge, we provided the largest and latest medical kidney biopsy data, which may provide valuable insights to predict the relative likelihood of a disease diagnosis in a daily medical practice.

Indexed as

Diabetic nephropathyglomerular diseaseglomerulonephritiskidney biopsymedical kidney diseasenonglomerular disease

Identifiers

PMID41323720
PMCPMC12664044

What Socratic holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.