Evidence map›Paper›PMID 41894061›Full record

ArticleClinical and experimental nephrology2026

Discrepancy between cystatin C-based and creatinine-based eGFR predicts all-cause mortality in a community-based population: the Takahata study.

Takaya Suzuki, Kazunobu Ichikawa, Natsuko Suzuki, Masafumi Watanabe, Tsuneo Konta

Abstract readComparative Study
In one paragraph

Article in Clinical and experimental nephrology, 2026. 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

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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

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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. Observational
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

5 authors.

Takaya SuzukiDepartment of Cardiology, Pulmonology, and Nephrology, Yamagata University School of Medicine, Yamagata, Japan.
Kazunobu IchikawaDepartment of Cardiology, Pulmonology, and Nephrology, Yamagata University School of Medicine, Yamagata, Japan.
Natsuko SuzukiDepartment of Public Health and Hygiene, Yamagata University Graduate School of Medical Science, 2-2-2, Iida-Nishi, Yamagata, 990-9585, Japan.
Masafumi WatanabeDepartment of Cardiology, Pulmonology, and Nephrology, Yamagata University School of Medicine, Yamagata, Japan.
Tsuneo KontaDepartment of Public Health and Hygiene, Yamagata University Graduate School of Medical Science, 2-2-2, Iida-Nishi, Yamagata, 990-9585, Japan. kkonta@med.id.yamagata-u.ac.jp.ORCID http://orcid.org/0000-0001-7681-6469

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiscrepancies between the cystatin C-based estimated glomerular filtration rate (eGFRcys) and the creatinine-based estimated glomerular filtration rate (eGFRcr) have been linked to adverse outcomes in Western populations. However, their prognostic significance in community-dwelling Japanese individuals remains unclear. Therefore, we conducted a prospective cohort study to evaluate this association.

methodsWe analyzed data from 1308 participants who underwent simultaneous measurements of serum creatinine and cystatin C levels between 2004 and 2006, with a median follow-up of 18.5 years. The discrepancy (eGFRdiff = eGFRcys - eGFRcr) was categorized into three groups: a low group (< - 10 mL/min/1.73 m

resultsDuring the follow-up period, 386 participants (29.5%) died, including 120 cardiovascular-related deaths. Compared with the reference group, individuals in the eGFRdiff < - 10 group exhibited a significantly higher risk of all-cause mortality (hazard ratio [HR]: 1.41; 95% confidence interval [CI]: 1.10-1.80), whereas those in the ≥ 10 group showed a lower risk (HR: 0.56; 95% CI: 0.33-0.97). No significant association was observed with cardiovascular mortality. Incorporating eGFRdiff into the baseline models improved discrimination for both all-cause and cardiovascular mortality.

conclusionThe discrepancy between eGFRcys and eGFRcr levels is an independent predictor of all-cause mortality in a community-based Japanese population. eGFRdiff may serve as a simple yet informative marker for identifying individuals at increased risk of death.

Indexed as

Cardiovascular DiseasesCreatinineCystatin CGlomerular Filtration RateKidneyAgedBiomarkersCause of DeathFemaleHumansJapanKaplan-Meier EstimateMaleMiddle AgedPredictive Value of TestsPrognosisBiomarkersCreatinineCST3 protein, humanCystatin CChronic kidney diseaseCreatinineCystatin CEstimated GFRGeneral population

Identifiers

PMID41894061
PMCPMC13242412

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