Evidence map›Paper›PMID 36882748›Full record

ArticleBMC medicine2023

Associations of risk factor burden and genetic predisposition with the 10-year risk of atrial fibrillation: observations from a large prospective study of 348,904 participants.

Junguo Zhang, Ge Chen, ChongJian Wang, Xiaojie Wang, Zhengmin Min Qian, Miao Cai, Michael G Vaughn, Elizabeth Bingheim, Haitao Li, Yanhui Gao and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.5field-weighted citation impact, top 6% of its field
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

9 citing papers in PubMed, 16 citations in OpenAlex.

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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

12 authors at 6 institutions in 4 countries.

Junguo ZhangDepartment of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
Ge ChenDepartment of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
ChongJian WangDepartment of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, 450001, China.
Xiaojie WangDepartment of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
Zhengmin Min QianDepartment of Epidemiology and Biostatistics, College for Public Health & Social Justice, Saint Louis University, Saint Louis, MO, 63103, USA.
Miao CaiDepartment of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
Michael G VaughnSchool of Social Work, Saint Louis University, Saint Louis, MO, 63103, USA.
Elizabeth BingheimDepartment of Epidemiology and Biostatistics, College for Public Health & Social Justice, Saint Louis University, Saint Louis, MO, 63103, USA.
Haitao LiDepartment of Social Medicine and Health Service Management, Health Science Center, Shenzhen University, Shenzhen, 518055, China.
Yanhui GaoDepartment of Medical Statistics, School of Basic Medicine and Public Health, Jinan University, Guangzhou, 510632, China.
Gregory Y H Lip *Liverpool Centre for Cardiovascular Science, University of Liverpool, Liverpool John Moores University and Liverpool Heart & Chest Hospital, Liverpool, L7 8TX, UK.
Hualiang Lin *Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China. linhualiang@mail.sysu.edu.cn.ORCID 0000-0002-3643-9408
Sun Yat-sen University · CNSaint Louis University · USJinan University · CNShenzhen University Health Science Center · CNUniversity of Liverpool · GBZhengzhou University · CN

Funding

Basic and Applied Basic Research Foundation of Guangdong Province 2023A1515010571Bill and Melinda Gates Foundation INV-016826
6 · The paper itself

Abstract

backgroundUnderstanding the effects of risk factor burden and genetic predisposition on the long-term risk of atrial fibrillation (AF) is important to improve public health initiatives. However, the 10-year risk of AF considering risk factor burden and genetic predisposition is unknown.

methodsA total of 348,904 genetically unrelated participants without AF at baseline from the UK were categorized into three groups: index ages 45 years (n = 84,206), 55 years (n=117,520), and 65 years (n=147,178). Optimal, borderline, or elevated risk factor burden was determined by body mass index, blood pressure, diabetes mellitus, alcohol consumption, smoking status, and history of myocardial infarction or heart failure. Genetic predisposition was estimated using the polygenic risk score (PRS), constructed using 165 predefined genetic risk variants. The combined effects of risk factor burden and PRS on the risk of incident AF in 10 years were estimated for each index age. Fine and Gray models were developed to predict the 10-year risk of AF.

resultsThe overall 10-year risk of AF was 0.67% (95% CI: 0.61-0.73%) for index age 45 years, 2.05% (95% CI: 1.96-2.13%) for index age 55 years, and 6.34% (95% CI: 6.21-6.46%) for index age 65 years, respectively. An optimal risk factor burden was associated with later AF onset regardless of genetic predisposition and sex (P < 0.001). Significant synergistic interactions were observed for risk factor burden with PRS at each index age (P < 0.05). Participants with an elevated risk factor burden and high PRS had the highest 10-year risk of AF in reference to those who had both an optimal risk factor burden and a low PRS. At younger ages, optimal risk burden and high PRS might also lead to later onset of AF, compared to the joint effect of elevated risk burden and low/intermediate PRS.

conclusionsRisk factor burden together with a genetic predisposition is associated with the 10-year risk of AF. Our results may be helpful in selecting high-risk individuals for primary prevention of AF and facilitating subsequent health interventions.

Indexed as

Atrial FibrillationAgedAlcohol DrinkingGenetic Predisposition to DiseaseHumansMiddle AgedProspective StudiesRisk Factors10-year riskAtrial fibrillationGenetic predispositionRisk factor burden

Identifiers

PMID36882748
PMCPMC9993634
OpenAlexW4323530626

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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.