Evidence map›Paper›PMID 39334519›Full record

ArticleEuropean journal of clinical investigation2025

Dose-dependent association between estimated glomerular filtration rate and the subsequent risk of depression: An analysis of a nationwide epidemiological dataset.

Toshiyuki Ko, Hidehiro Kaneko, Yuta Suzuki, Akira Okada, Tatsuhiko Azegami, Katsuhito Fujiu, Norifumi Takeda, Hiroyuki Morita, Takashi Yokoo, Kaori Hayashi and 4 more

Abstract read
In one paragraph

Article in European journal of clinical investigation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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.

Toshiyuki KoDepartment of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Hidehiro KanekoDepartment of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID https://orcid.org/0000-0003-2553-6170
Yuta SuzukiDepartment of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID https://orcid.org/0000-0002-9406-4691
Akira OkadaDepartment of Prevention of Diabetes and Lifestyle-Related Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Tatsuhiko AzegamiDivision of Endocrinology, Metabolism, and Nephrology, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan.
Katsuhito FujiuDepartment of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Norifumi TakedaDepartment of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Hiroyuki MoritaDepartment of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Takashi YokooDivision of Nephrology and Hypertension, Department of Internal Medicine, The Jikei University School of Medicine, Tokyo, Japan.
Kaori HayashiDivision of Endocrinology, Metabolism, and Nephrology, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan.
Issei KomuroInternational University of Health and Welfare, Tokyo, Japan.
Hideo YasunagaDepartment of Clinical Epidemiology and Health Economics, School of Public Health, University of Tokyo, Tokyo, Japan.
Masaomi NangakuDivision of Nephrology and Endocrinology, The University of Tokyo Graduate School of Medicine, Tokyo, Japan.
Norihiko TakedaDepartment of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.

Funding

AMED JP23ek0109600h0003Japanese Circulation SocietyJapan Foundation for Applied EnzymologyJapan Heart FoundationMinistry of Education, Culture, Sports, Science and Technology 20H03907Ministry of Education, Culture, Sports, Science and Technology 21H03159Ministry of Education, Culture, Sports, Science and Technology 21K08123Ministry of Education, Culture, Sports, Science and Technology 22K21133Ministry of Health, Labour and Welfare 23AA2003Sakakibara Heart Foundation Cardiovascular Research Program 2023Takeda Science Foundation
6 · The paper itself

Abstract

backgroundAlthough the risk of depression is well-known in the patients with kidney dysfunction, especially at the late stages, little is known about the exact point at which the decline in estimated glomerular filtration rate (eGFR) begins to significantly increase the risk of depression. In the present study, we analysed a nationwide epidemiological dataset to investigate the dose-dependent association between baseline eGFR and a future risk of developing depression in a general population.

methodsWe retrospectively analysed 1,518,885 individuals (male: 46.3%) without a history of depression identified between April 2014 and November 2022 within a nationwide epidemiological database, provided by DeSC Healthcare (Tokyo, Japan). We investigated the association of eGFR with the incidence of depression using Cox regression analyses and also conducted cubic spline analysis to investigate the dose-dependent association between eGFR and depression.

resultsIn the mean follow-up of 1218 ± 693 days, 45,878 cases (3.0% for total participants, 2.6% for men and 3.3% for women) of depression were recorded. The risk of depression increased with the eGFR decline as well as the presence of proteinuria. Multivariable Cox regression analysis showed the hazard ratio (95% CI) of depression in each kidney function category (eGFR ≥90, 60-89, 45-59, 30-44, 15-29, and < 15 mL/min/1.73 m

conclusionsOur analysis using a large-scale epidemiological dataset presented the dose-dependent association between eGFR decline and the risk of depression, which highlights the importance of incorporating mental health assessments into the routine care of patients with kidney dysfunction, regardless of the stage of their disease.

Indexed as

DepressionGlomerular Filtration RateAdultAgedFemaleHumansIncidenceJapanMaleMiddle AgedProportional Hazards ModelsProteinuriaRenal Insufficiency, ChronicRetrospective StudiesRisk FactorsdepressioneGFRepidemiologypsycho‐nephrology

Identifiers

PMID39334519
PMCPMC11628668

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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.