Evidence map›Paper›PMID 40980718›Full record

ArticleEuropean heart journal open2025

Cardiovascular-kidney-metabolic syndrome stage predicts cardiovascular outcomes in cancer patients: a real-world data analysis of a nationwide epidemiological dataset.

Toshiyuki Ko, Yuta Suzuki, Hidehiro Kaneko, Akira Okada, Takahiro Jimba, Tatsuhiko Azegami, Atsushi Mizuno, Kentaro Ejiri, Katsuhito Fujiu, Norifumi Takeda and 6 more

Abstract read
In one paragraph

Article in European heart journal open, 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

16 authors.

Toshiyuki KoDepartment of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo 113-8655, Japan.
Yuta SuzukiDepartment of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo 113-8655, Japan.
Hidehiro KanekoDepartment of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo 113-8655, Japan.ORCID https://orcid.org/0000-0003-2553-6170
Akira OkadaDepartment of Prevention of Diabetes and Lifestyle-Related Diseases, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan.
Takahiro JimbaDepartment of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo 113-8655, Japan.ORCID https://orcid.org/0000-0002-3757-3959
Tatsuhiko AzegamiDivision of Endocrinology, Metabolism, and Nephrology, Department of Internal Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan.ORCID https://orcid.org/0000-0002-4809-5788
Atsushi MizunoDepartment of Cardiology, Medical Quality Management Office, QI Center, St. Luke's International Hospital, 9-1, Akashi-cho, Chuo-ku, Tokyo 104-8560, Japan.
Kentaro EjiriDepartment of Cardiovascular Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, 2-5-1 Shikata-cho, Kitaku, Okayama 700-8558, Japan.
Katsuhito FujiuDepartment of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo 113-8655, Japan.
Norifumi TakedaDepartment of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo 113-8655, Japan.
Hiroyuki MoritaDepartment of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo 113-8655, Japan.
Kaori HayashiDivision of Endocrinology, Metabolism, and Nephrology, Department of Internal Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan.
Koichi NodeDepartment of Cardiovascular Medicine, Saga University, 1 Honjo-machi, Saga City, Saga 840-8502, Japan.ORCID https://orcid.org/0000-0002-2534-0939
Hideo YasunagaDepartment of Clinical Epidemiology and Health Economics, School of Public Health, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan.
Masaomi NangakuDivision of Nephrology and Endocrinology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan.ORCID https://orcid.org/0000-0001-7401-2934
Norihiko TakedaDepartment of Cardiovascular Medicine, Graduate School of Medicine, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo 113-8655, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: Cancer survivors are at increased cardiovascular risk due to shared risk factors and treatment-related toxicity. The recently proposed cardiovascular-kidney-metabolic (CKM) syndrome framework provides a novel approach for cardiometabolic risk stratification, but its prognostic value in cancer patients remains unclear. In this study, we aimed to evaluate the association between CKM stages and cardiovascular outcomes in cancer patients using a large-scale nationwide dataset. Methods and results: We conducted a retrospective cohort study of 76 111 cancer patients without prior CVD from the DeSC database (2014-2023). Participants were classified into CKM stages (0-3) at baseline, with Stage 4 defined as the composite outcome of myocardial infarction, heart failure, atrial fibrillation, stroke, or peripheral artery disease. Multivariable Cox proportional hazards models were used to assess the risk of progression to Stage 4. Over a median follow-up of 2.6 years, advancing CKM stages were associated with a graded increase in cardiovascular disease (CVD) risk. Compared to Stage 0-1 (reference), adjusted hazard ratios for Stage 4 were 1.23 (95% confidence interval: 1.13-1.33) for Stage 2 and 1.47 (1.36-1.60) for Stage 3. Sensitivity analyses confirmed consistent associations across different groups stratified by age, sex, chemotherapy history, and cancer types. Furthermore, sensitivity analyses using alternative risk prediction models or expanded CVD definitions yielded similar results. Conclusion: The CKM staging system effectively stratifies cardiovascular risk in cancer patients, with higher stages predicting significantly worse outcomes. These findings advocate for integrating CKM assessment into onco-cardiologic practice to guide early intervention and improve patient outcomes.

Indexed as

CancerCardiovascular diseaseCardiovascular-kidney-metabolic syndromeRisk stratification

Identifiers

PMID40980718
PMCPMC12448714

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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.