Evidence mapPaperPMID 41711739Full record

ArticleESC heart failure2026

Association between cumulative exposure to cardiometabolic index and risk of heart failure: a prospective cohort study.

Peng Fu, Huancong Zheng, Weiqiang Wu, Zegui Huang, Kuangyi Wu, Yuxian Wang, Zhen He, Zefeng Cai, Guanlin Chen, Hong Zheng and 3 more

Abstract read
In one paragraph

Article in ESC heart failure, 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

13 authors.

Peng FuDepartment of Cardiology, Second Affiliated Hospital of Shantou University Medical College, No. 69, Dongxia North Road, Jinping District, Shantou, Guangdong Province 515000, China.
Huancong ZhengDepartment of Cardiology, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, Guangdong Province 510120, China.
Weiqiang WuDepartment of Cardiology, Second Affiliated Hospital of Shantou University Medical College, No. 69, Dongxia North Road, Jinping District, Shantou, Guangdong Province 515000, China.
Zegui HuangDepartment of Cardiology, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, Guangdong Province 510120, China.
Kuangyi WuDepartment of Cardiology, Second Affiliated Hospital of Shantou University Medical College, No. 69, Dongxia North Road, Jinping District, Shantou, Guangdong Province 515000, China.
Yuxian WangDepartment of Cardiology, Second Affiliated Hospital of Shantou University Medical College, No. 69, Dongxia North Road, Jinping District, Shantou, Guangdong Province 515000, China.
Zhen HeDepartment of Cardiology, Second Affiliated Hospital of Shantou University Medical College, No. 69, Dongxia North Road, Jinping District, Shantou, Guangdong Province 515000, China.ORCID 0000-0001-8901-8167
Zefeng CaiDepartment of Cardiology, Second Affiliated Hospital of Shantou University Medical College, No. 69, Dongxia North Road, Jinping District, Shantou, Guangdong Province 515000, China.
Guanlin ChenDepartment of Cardiology, Second Affiliated Hospital of Shantou University Medical College, No. 69, Dongxia North Road, Jinping District, Shantou, Guangdong Province 515000, China.
Hong ZhengDepartment of Cardiology, Second Affiliated Hospital of Shantou University Medical College, No. 69, Dongxia North Road, Jinping District, Shantou, Guangdong Province 515000, China.
Bo ZhangDepartment of Cardiology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning Province 116021, China.
Shouling WuDepartment of Cardiology, Kailuan General Hospital, Tangshan, Hebei Province 063001, China.
Youren ChenDepartment of Cardiology, Second Affiliated Hospital of Shantou University Medical College, No. 69, Dongxia North Road, Jinping District, Shantou, Guangdong Province 515000, China.ORCID 0000-0003-4401-3279

Funding

Special Fund Project for Science and Technology Innovation Strategy of Guangdong Province STKJ2023003
6 · The paper itself

Abstract

introductionHigh cardiometabolic index (CMI) is a risk factor for heart failure (HF), but the long-term impact of cumulative CMI exposure on incident HF remains unclear. We examined the association between cumulative CMI and HF risk in a large prospective cohort.

methodsA total of 44 773 participants (mean age 53.1 ± 11.9 years; 78.6% men) from the Kailuan Study who attended three health examinations in 2006, 2008, and 2010 and were free of cardiovascular disease or cancer at baseline were included. Cumulative CMI was calculated as the weighted sum of mean CMI across time intervals and categorized into quartiles. Incident HF was identified through medical records and death registries until 31 December 2022. Cox proportional hazards models were used to estimate hazard ratios and 95% confidence intervals.

resultsOver a median follow-up of 12.0 years (IQR 11.7-12.3), 1018 HF events occurred. Compared with the lowest quartile, adjusted hazard ratios (95% confidence intervals) were 1.18 (0.95-1.50), 1.32 (1.05-1.65), and 1.40 (1.11-1.76) for Q2-Q4 (P for trend < 0.001). A significant interaction was observed between cumulative CMI and diabetes (P = 0.043), but not with age, sex, or hypertension. Sensitivity analyses yielded consistent results.

conclusionHigh cumulative CMI was independently associated with increased HF risk. Long-term monitoring and maintenance of an optimal CMI level may aid in early identification and prevention of HF in the general population.

Indexed as

Heart FailureChinaFemaleFollow-Up StudiesHumansIncidenceMaleMiddle AgedProspective StudiesRisk AssessmentRisk FactorsCardiometabolic indexCardiovascular diseaseCumulative exposureHeart failure

Identifiers

PMID41711739
PMCPMC13108323

What Socratic holds

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LicenceCC BY-NC
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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 Socratic graph.