Evidence map›Paper›PMID 41360794›Full record

ArticleNature communications2025

Modifiable influencing factors and their joint effects on early- and late-onset coronary heart disease.

Jianhui Guo, Petros Koutrakis, Carolina L Zilli Vieira, Yi Fan, Yaqi Wang, Xinyao Lian, Zhaokun Wang, Ziqi Tang, Shaodan Huang, Jing Li

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

10 authors.

Jianhui GuoInstitute of Child and Adolescent Health, School of Public Health, Peking University and National Health Commission Key Laboratory of Reproductive Health, Beijing, China.ORCID http://orcid.org/0000-0001-5731-9328
Petros KoutrakisDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Carolina L Zilli VieiraDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA.ORCID http://orcid.org/0000-0002-8763-3331
Yi FanDepartment of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China.ORCID http://orcid.org/0000-0003-2981-5337
Yaqi WangInstitute of Child and Adolescent Health, School of Public Health, Peking University and National Health Commission Key Laboratory of Reproductive Health, Beijing, China.ORCID http://orcid.org/0009-0007-9866-2780
Xinyao LianInstitute of Child and Adolescent Health, School of Public Health, Peking University and National Health Commission Key Laboratory of Reproductive Health, Beijing, China.
Zhaokun WangDepartment of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China.ORCID http://orcid.org/0000-0002-5899-8884
Ziqi TangInstitute of Child and Adolescent Health, School of Public Health, Peking University and National Health Commission Key Laboratory of Reproductive Health, Beijing, China.
Shaodan HuangDepartment of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China.
Jing LiInstitute of Child and Adolescent Health, School of Public Health, Peking University and National Health Commission Key Laboratory of Reproductive Health, Beijing, China. jing.li@hsc.pku.edu.cn.ORCID http://orcid.org/0000-0001-7682-4311

Funding

National Natural Science Foundation of China (National Science Foundation of China) 42307133National Natural Science Foundation of China (National Science Foundation of China) 52208092National Natural Science Foundation of China (National Science Foundation of China) 52478073
6 · The paper itself

Abstract

Over the past decade, the previously declining trend in coronary heart disease burden has reversed, particularly among younger adults. Using an exposure-wide association study with data from 394,579 UK Biobank participants, we examined the relationship between 213 modifiable factors across eight domains and coronary heart disease. Weighted domain scores were calculated to assess the combined effects of these factors and their interactions with genetic risk. We identified 155 modifiable factors associated with coronary heart disease, 31 of which showed evidence of causality. The major contributors are health and medical history (15.75%), including diabetes mellitus; blood assays (13.87%), including cystatin C; lifestyle factors (10.01%), including time spent watching television; and physical measures (8.70%), including systolic blood pressure. We estimate that 40% to 62% of cases could be prevented by modifying these factors, which have a stronger effect on younger populations. These findings underscore the importance of early and comprehensive prevention strategies.

Indexed as

Coronary DiseaseAdultAgedAge of OnsetBlood PressureFemaleGenetic Predisposition to DiseaseHumansLife StyleMaleMiddle AgedRisk FactorsUnited Kingdom

Identifiers

PMID41360794
PMCPMC12686512

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.