Evidence map›Paper›PMID 41245546›Full record

ArticleEClinicalMedicine2025

Association between cardiovascular-kidney-metabolic syndrome, lifestyle, and all-cause and cause-specific mortality: a prospective cohort study.

Mingming Wang, Yanan Qiao, Ruilang Lin, Yongfu Yu, Min Zhao, Marie Standl, Costan G Magnussen, Bo Xi

Abstract read
In one paragraph

Article in EClinicalMedicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

8 authors.

Mingming WangDepartment of Epidemiology/Department of Maternal, Child and Adolescent Health, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
Yanan QiaoDepartment of Epidemiology/Department of Maternal, Child and Adolescent Health, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
Ruilang LinDepartment of Biostatistics, Key Laboratory of Public Health Safety of Ministry of Education, NHC Key Laboratory for Health Technology Assessment, School of Public Health, Fudan University, Shanghai, 200032, China.
Yongfu YuDepartment of Biostatistics, Key Laboratory of Public Health Safety of Ministry of Education, NHC Key Laboratory for Health Technology Assessment, School of Public Health, Fudan University, Shanghai, 200032, China.
Min ZhaoDepartment of Nutrition and Food Hygiene, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
Marie StandlInstitute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany.
Costan G MagnussenBaker Heart and Diabetes Institute, Melbourne, VIC, Australia.
Bo XiDepartment of Epidemiology/Department of Maternal, Child and Adolescent Health, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cardiovascular-kidney-metabolic (CKM) syndrome is reported to be associated with increased all-cause and CVD-specific mortality. However, the association between CKM and cancer-specific mortality, as well as the modifying or joint effects of healthy lifestyle on mortality remain unclear. Methods: In this prospective cohort study, we enrolled participants aged 37-73 years from the UK Biobank. Individuals with missing data on CKM status, lifestyle factors or potential confounders at baseline (between March 2006 and July 2010) were excluded. Followed-up was conducted until November 30, 2022. CKM stages (0-4) were defined per the American Heart Association criteria. A healthy lifestyle score (adequate physical activity, no current smoking, healthy sleep, and healthy diet) was categorized into unfavourable (0-1), intermediate (2-3), and favourable (4) groups. Outcomes included all-cause and cause-specific mortality (due to cardiovascular disease [CVD], cancer, and other causes). Cox proportional hazards models and Fine-Gray proportional subdistribution hazards models were used to assess associations with all-cause and cause-specific mortality, respectively. Findings: A total of 319,291 participants were included. Over a median follow-up of 13.7 years (interquartile ranges 13.0-14.3), 27,267 deaths occurred (5558 CVDs [20.4%], 13,566 cancers [49.8%], 8143 other-causes [29.8%]). Compared with CKM Stage 0, Stages 2-4 were associated with progressively higher risks of all-cause mortality (hazard ratios [HRs] (95% confidence intervals [CIs]): Stage 2: 1.21 [1.12-1.30]; Stage 3: 1.54 [1.43-1.66]; Stage 4: 2.30 [2.13-2.49]), CVD-specific mortality (Stage 2: 2.38 [1.74-3.24]; Stage 3: 4.46 [3.23-6.14]; Stage 4: 10.40 [7.61-14.21]), and cancer-specific mortality (Stage 2: 1.15 [1.03-1.28]; Stage 3: 1.26 [1.12-1.41]; Stage 4: 1.32 [1.17-1.48]). In addition, Stages 3 and 4 were positively associated with other-cause mortality (Stage 3: 1.49 [1.29-1.72]; Stage 4: 2.08 [1.81-2.38]) (all Interpretation: Participants at CKM stages 2-4 demonstrated a graded increase in the risks of all-cause, CVD-specific, and cancer-specific mortality, particularly among younger adults. Having a healthy lifestyle can mitigate these risks, highlighting the importance of lifestyle intervention, especially through non-smoking, adequate physical activity, and healthy sleep duration. As both CKM stage and lifestyle were assessed solely at baseline and the study is observational in nature, the findings may be subject to unmeasured temporal variability and residual confounding, which should be considered when interpretating the results. Funding: The National Key Research and Development Plan: Real-Time Intelligent Active Intervention on Integration of Ten Important Chronic Diseases, and the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme.

Indexed as

Cardiovascular diseaseCardiovascular-kidney-metabolic syndromeChronic kidney diseasehealthy lifestyleMortality

Identifiers

PMID41245546
PMCPMC12613067

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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 Socratic graph.