Evidence map›Paper›PMID 39237921›Full record

ArticleBMC medicine2024

Cardiovascular health and cancer mortality: evidence from US NHANES and UK Biobank cohort studies.

Lijin Lin, Yulian Hu, Fang Lei, Xuewei Huang, Xingyuan Zhang, Tao Sun, Weifang Liu, Ru Li, Xiao-Jing Zhang, Jingjing Cai and 3 more

Abstract read
In one paragraph

Article in BMC medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 2 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

33 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  14. Research Priorities and Future Directions in Cardio-Oncology.Current treatment options in oncology · 2026
    Review
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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

13 authors.

Lijin Lin *Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, 430060, China.
Yulian Hu *Department of Neonatology, Huanggang Central Hospital of Yangtze University, Huanggang, China.
Fang LeiInstitute of Model Animal, Wuhan University, Wuhan, China.
Xuewei HuangInstitute of Model Animal, Wuhan University, Wuhan, China.
Xingyuan ZhangInstitute of Model Animal, Wuhan University, Wuhan, China.
Tao SunDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, 430060, China.
Weifang LiuDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, 430060, China.
Ru LiDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, 430060, China.
Xiao-Jing ZhangInstitute of Model Animal, Wuhan University, Wuhan, China.
Jingjing CaiInstitute of Model Animal, Wuhan University, Wuhan, China.
Zhi-Gang SheDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, 430060, China. zgshe@whu.edu.cn.
Guoping WangHuanggang Institute of Translational Medicine, Huanggang, Hubei Province, China. wangguoping@hgyy.org.cn.
Hongliang LiDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, 430060, China. lihl@whu.edu.cn.ORCID 0000-0002-9821-0297

Funding

the Hubei Provincial Industrial Technology Research Institute of Comprehensive Care for Heart-Brain Diseases 2021YJY003the National Science Foundation of China 82270390
6 · The paper itself

Abstract

backgroundThe American Heart Association recently introduced a novel cardiovascular health (CVH) metric, Life's Essential 8 (LE8), for health promotion. However, the relationship between LE8 and cancer mortality risk remains uncertain.

methodsWe investigated 17,076 participants from US National Health and Nutrition Examination Survey (US NHANES) and 272,727 participants from UK Biobank, all free of cancer at baseline. The CVH score, based on LE8 metrics, incorporates four health behaviors (diet, physical activity, smoking, and sleep) and four health factors (body mass index, lipid, blood glucose, and blood pressure). Self-reported questionnaires assessed health behaviors. Primary outcomes were mortality rates for total cancer and its subtypes. The association between CVH score (continuous and categorical variable) and outcomes was examined using Cox model with adjustments. Cancer subtypes-related polygenic risk score (PRS) was constructed to evaluate its interactions with CVH on cancer death risk.

resultsOver 141,526 person-years in US NHANES, 424 cancer-related deaths occurred, and in UK Biobank, 8,872 cancer deaths were documented during 3,690,893 person-years. High CVH was associated with reduced overall cancer mortality compared to low CVH (HR 0.58, 95% CI 0.37-0.91 in US NHANES; 0.51, 0.46-0.57 in UK Biobank). Each one-standard deviation increase in CVH score was linked to a 19% decrease in cancer mortality (HR: 0.81; 95% CI: 0.73-0.91) in US NHANES and a 19% decrease (HR: 0.81; 95% CI: 0.79-0.83) in UK Biobank. Adhering to ideal CVH was linearly associated with decreased risks of death from lung, bladder, liver, kidney, esophageal, breast, colorectal, pancreatic, and gastric cancers in UK Biobank. Furthermore, integrating genetic data revealed individuals with low PRS and high CVH exhibited the lowest mortality from eight cancers (HRs ranged from 0.36 to 0.57) compared to those with high PRS and low CVH. No significant modification of the association between CVH and mortality risk for eight cancers by genetic predisposition was observed. Subgroup analyses showed a more pronounced protective association for overall cancer mortality among younger participants and those with lower socio-economic status.

conclusionsMaintaining optimal CVH is associated with a substantial reduction in the risk of overall cancer mortality. Adherence to ideal CVH correlates linearly with decreased mortality risk across multiple cancer subtypes. Individuals with both ideal CVH and high genetic predisposition demonstrated significant health benefits. These findings support adopting ideal CVH as an intervention strategy to mitigate cancer mortality risk and promote healthy aging.

Indexed as

Cardiovascular DiseasesNeoplasmsNutrition SurveysAdultAgedBiological Specimen BanksCohort StudiesFemaleHumansMaleMiddle AgedRisk FactorsUK BiobankUnited KingdomUnited StatesCancer mortalityCancer subtypesCardiovascular healthGenetic predispositionLife’s essential 8

Identifiers

PMID39237921
PMCPMC11378420

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.