Evidence map›Paper›PMID 40769895›Full record

ArticleInternal medicine (Tokyo, Japan)2026

Anemia of Renal Tubular Damage and Mortality in the General Population: The Yamagata (Takahata) study.

Yoichiro Otaki, Tetsu Watanabe, Shigehiko Kato, Harutoshi Tamura, Satoshi Nishiyama, Takanori Arimoto, Kazunobu Ichikawa, Tsuneo Konta, Masafumi Watanabe

Abstract read
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In one paragraph

Article in Internal medicine (Tokyo, Japan), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Yoichiro OtakiDepartment of Cardiology, Pulmonology, and Nephrology, Yamagata University School of Medicine, Japan.
Tetsu WatanabeDepartment of Cardiology, Pulmonology, and Nephrology, Yamagata University School of Medicine, Japan.
Shigehiko KatoDepartment of Cardiology, Pulmonology, and Nephrology, Yamagata University School of Medicine, Japan.
Harutoshi TamuraDepartment of Cardiology, Pulmonology, and Nephrology, Yamagata University School of Medicine, Japan.
Satoshi NishiyamaDepartment of Cardiology, Pulmonology, and Nephrology, Yamagata University School of Medicine, Japan.
Takanori ArimotoDepartment of Cardiology, Pulmonology, and Nephrology, Yamagata University School of Medicine, Japan.
Kazunobu IchikawaDepartment of Cardiology, Pulmonology, and Nephrology, Yamagata University School of Medicine, Japan.
Tsuneo KontaDepartment of Public Health and Hygiene, Yamagata University Graduate School of Medical Science, Japan.
Masafumi WatanabeDepartment of Cardiology, Pulmonology, and Nephrology, Yamagata University School of Medicine, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective Anemia is reportedly associated with all-cause mortality in elderly individuals. Kidney dysfunction is a major cause of anemia in the elderly. Kidney dysfunction is characterized by glomerular and renal tubular damage (RTD). We aimed to examine the association between RTD and anemia, and the impact of anemia on all-cause mortality in the general population. Methods This prospective cohort study included 3,464 participants aged ≥40 years who participated in a community-based health checkup. The estimated glomerular filtration rate (eGFR), urinary albumin-to-creatinine ratio (UACR), and urinary β

Indexed as

AnemiaKidney DiseasesKidney TubulesAdultAgedAlbuminuriaCohort StudiesCreatinineFemaleGlomerular Filtration RateHumansJapanMaleMiddle AgedMortalityPrevalenceCreatinineanemiageneral populationglomerular damagemortalityrenal tubular damage

Identifiers

PMID40769895
PMCPMC13019012

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Registered trials

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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 OpenQuestion graph.