Evidence map›Paper›PMID 35323977›Full record

ArticleNephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association2023

Biopsy-proven CKD etiology and outcomes: the Chronic Kidney Disease Japan Cohort (CKD-JAC) study.

Takayuki Hamano, Takahiro Imaizumi, Takeshi Hasegawa, Naohiko Fujii, Hirotaka Komaba, Masahiko Ando, Masaomi Nangaku, Kosaku Nitta, Hideki Hirakata, Yoshitaka Isaka and 3 more

Erratum issuedOpen access · bronzeAbstract read
In one paragraph

Article in Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.7field-weighted citation impact, top 9% of its field
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

16 citing papers in PubMed, 20 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 11 institutions in 2 countries.

Takayuki HamanoDepartment of Nephrology, Nagoya City University Graduate School of Medicine, Nagoya, Japan.
Takahiro ImaizumiDepartment of Advanced Medicine, Nagoya University Hospital, Nagoya, Japan.
Takeshi HasegawaShowa University Research Administration Center.ORCID 0000-0003-0420-5583
Naohiko FujiiMedical and Research Center for Nephrology and Transplantation, Hyogo Prefectural Nishinomiya Hospital, Nishinomiya, Japan.
Hirotaka KomabaDivision of Nephrology, Endocrinology and Metabolism, Tokai University School of Medicine, Isehara, Japan.ORCID 0000-0002-1704-4507
Masahiko AndoDepartment of Advanced Medicine, Nagoya University Hospital, Nagoya, Japan.
Masaomi NangakuDivision of Nephrology and Endocrinology, the University of Tokyo Hospital, Tokyo, Japan.
Kosaku NittaDepartment of Medicine, Kidney Center, Tokyo Women's Medical University, Tokyo, Japan.
Hideki HirakataFukuoka Renal Clinic, Fukuoka, Japan.
Yoshitaka IsakaDepartment of Nephrology, Osaka University Graduate School of Medicine, Suita, Japan.
Takashi WadaDivision of Nephrology and Laboratory Medicine, Kanazawa University, Kanazawa, Japan.ORCID 0000-0002-0123-3645
Shoichi MaruyamaDepartment of Nephrology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Masafumi FukagawaDivision of Nephrology, Endocrinology and Metabolism, Tokai University School of Medicine, Isehara, Japan.ORCID 0000-0002-7832-2339
Nagoya University Hospital · JPTokai University · JPHyogo Prefectural Nishinomiya Hospital · JPKanazawa University · JPNagoya City University · JPNagoya University · JPOno Clinic · JPShowa University · JPThe University of Osaka · JPTokyo Women's Medical University · JPUniversity of Tokyo Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Kidney Disease: Improving Global Outcomes guidelines advocate the cause-glomerular filtration rate (GFR)-albuminuria (CGA) classification for predicting outcomes. However, there is a dearth of data supporting the use of the cause of chronic kidney disease. This study aimed to address how to incorporate a prior biopsy-proven diagnosis in outcome prediction.

methodsWe examined the association of biopsy-proven kidney disease diagnoses with kidney failure with replacement therapy (KFRT) and all-cause death before KFRT in patients with various biopsy-proven diagnoses (n = 778, analysis A) and patients with diabetes mellitus labeled with biopsy-proven diabetic nephropathy (DN), other biopsy-proven diseases and no biopsy (n = 1117, analysis B).

resultsIn analysis A, adding biopsy-proven diagnoses to the GFR-albuminuria (GA) classification improved the prediction of 8-year incidence of KFRT and all-cause death significantly regarding integrated discrimination improvement and net reclassification index. Fine-Gray (FG) models with KFRT as a competing event showed significantly higher subdistribution hazard ratios (SHRs) for all-cause death in nephrosclerosis {4.12 [95% confidence interval (CI) 1.11-15.2)], focal segmental glomerulosclerosis [3.77 (95% CI 1.09-13.1)]} and membranous nephropathy (MN) [2.91 (95% CI 1.02-8.30)] than in immunoglobulin A nephropathy (IgAN), while the Cox model failed to show significant associations. Crescentic glomerulonephritis had the highest risk of all-cause death [SHR 5.90 (95% CI 2.05-17.0)]. MN had a significantly lower risk of KFRT than IgAN [SHR 0.45 (95% CI 0.24-0.84)]. In analysis B, other biopsy-proven diseases had a lower risk of KFRT than biopsy-proven DN in the FG model, with death as a competing event [SHR 0.62 (95% CI 0.39-0.97)].

conclusionsThe CGA classification is of greater value in predicting outcomes than the GA classification.

Indexed as

Diabetic NephropathiesGlomerulonephritis, IGAGlomerulonephritis, MembranousRenal Insufficiency, ChronicAlbuminuriaDisease ProgressionGlomerular Filtration RateHumansJapanCKDdiabetic kidney diseaseepidemiologykidney biopsyprognosis

Identifiers

PMID35323977
PMCPMC9923708
OpenAlexW4221106558

What OpenQuestion holds

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LicenceCC BY-NC
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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 OpenQuestion graph.