Evidence map›Paper›PMID 37994466›Full record

ArticleClinical cardiology2024

Life's essential 8 and risk of all-cause mortality in individuals with cardiovascular diseases: A prospective community-based study.

Lili Huang, Aitian Wang, Zhijun Wu, Shuohua Chen, Yan Zheng, Shouling Wu, Xiang Gao

Abstract read
In one paragraph

Article in Clinical cardiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Lili HuangDepartment of Nutrition and Food Hygiene, School of Public Health, Institute of Nutrition, Shanghai, People's Republic of China.
Aitian WangDepartment of Intensive Medicine, Kailuan General Hospital, Tangshan, People's Republic of China.
Zhijun WuDepartment of Cardiovascular Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, People's Republic of China.
Shuohua ChenDepartment of Cardiology, Kailuan General Hospital, Tangshan, People's Republic of China.
Yan ZhengState Key Laboratory of Genetic Engineering, Human Phenome Institute, and School of Life Sciences, Fudan University, Shanghai, People's Republic of China.
Shouling WuDepartment of Cardiology, Kailuan General Hospital, Tangshan, People's Republic of China.ORCID http://orcid.org/0000-0001-7095-6022
Xiang GaoDepartment of Nutrition and Food Hygiene, School of Public Health, Institute of Nutrition, Shanghai, People's Republic of China.ORCID http://orcid.org/0000-0003-2617-6509

Funding

E-Institutes of Shanghai Municipal Education Commission 20172004
6 · The paper itself

Abstract

backgroundAlthough risk factors for mortality in individuals with cardiovascular diseases (CVD) have been reported, little is known regarding the association between the comprehensive cardiovascular health (CVH) index assessed by life's essential 8 (LE8) and the risk of mortality. HYPOTHESIS: The aim of this study was to evaluate the CVH assessed by LE8 and risk of mortality in individuals with CVD.

methodsA total of 1391 participants with CVD diagnosed before 2014 from the Kailuan cohort were included in the analysis. The CVH score ranged from 0 to 100 was assessed using the LE8 metrics (diet quality, physical activity, sleep health, cigarette smoking, body mass index, lipids, blood glucose, and blood pressure). Cox regression model was used to estimate the association between the CVH score and risk of all-cause mortality.

resultsDuring a mean follow-up of 6.1 ± 1.5 years, 229 deaths occurred. The hazard ratio for all-cause mortality was 0.57 (95% confidence interval [CI]: 0.38, 0.84) in the highest quartiles compared with the lowest quartiles of CVH scores and 0.85 (95% CI: 0.75, 0.95) for each 10 points increment in CVH scores (p

conclusionsThe CVH assessed by the LE8 metrics was associated with a lower risk of all-cause mortality in individuals with CVD.

Indexed as

Cardiovascular DiseasesBlood PressureDietHumansProspective StudiesRisk FactorsUnited Statesall-cause mortalitycardiovascular diseasecardiovascular healthprevention

Identifiers

PMID37994466
PMCPMC10823447

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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.