Evidence map›Paper›PMID 41492266›Full record

ArticleAmerican journal of preventive cardiology2026

Cardiovascular-kidney-metabolic syndrome stages and increased risk of all-cause and cause-specific mortality in UK Biobank.

Tingting Xu, Jin Wei, Ming Xu, Huiqin Li, Silu Chen, Hongsheng Ji, Junyi Xin, Yan Gao, Mulong Du

Abstract read
In one paragraph

Article in American journal of preventive cardiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Article
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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

9 authors.

Tingting XuSchool of Public Health, Nanjing Medical University, Nanjing 211166, China.
Jin WeiDepartments of Environmental Genomics and Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
Ming XuDepartment of Occupational Disease Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu Province 210009, China.
Huiqin LiDepartments of Environmental Genomics and Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
Silu ChenDepartments of Environmental Genomics and Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
Hongsheng JiDepartments of Environmental Genomics and Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
Junyi XinDepartment of Bioinformatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, 101 Longmian Avenue, Jiangning District, Nanjing, Jiangsu 211166, China.
Yan GaoSchool of Public Health, Nanjing Medical University, Nanjing 211166, China.
Mulong DuDepartments of Environmental Genomics and Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing 211166, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cardiovascular-kidney-metabolic (CKM) syndrome poses a critical challenge for public health. However, its association with mortality risk remain inadequately characterized. Methods: 282,952 participants at baseline from the UK Biobank were monitored until November 12, 2021. Cox regression analyses evaluated the associations between CKM stages and the risk of all-cause and cause-specific mortality, including cardiovascular diseases (CVD), cancer, respiratory diseases, and digestive system diseases. Results: Over a median follow-up of 12.7 years, 16,834 deaths occurred, including 15.8% from CVD, 50.3% from cancer, 6.0% from respiratory diseases, 3.6% from digestive system diseases, and 24.3% from other causes. The risk of all-cause, cancer, CVD, respiratory, and digestive mortality increased with advancing CKM stages ( Conclusions: CKM stages are strongly associated with increased all-cause and cause-specific mortality. Early identification and intervention in CKM syndrome patients could be crucial for reducing premature mortality and improving public health.

Indexed as

All-cause mortalityCancer, respiratory diseasesCardiovascular diseasesCardiovascular kidney metabolic syndromeDigestive diseases

Identifiers

PMID41492266
PMCPMC12765068

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.