Evidence map›Paper›PMID 39921525›Full record

ArticleJournal of the American Heart Association2025

Dietary Cholesterol and Myocardial Infarction in the Million Veteran Program.

Xuan-Mai T Nguyen, Yanping Li, Mark S Nyaeme, Neha Panigrahy, Serena Houghton, Kerry L Ivey, Shamlan Shiekh, Walter C Willett, Frank B Hu, J Michael Gaziano and 4 more

Abstract read
In one paragraph

Article in Journal of the American Heart Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

14 authors.

Xuan-Mai T NguyenMillion Veteran Program Boston Coordinating Center VA Boston Healthcare System Boston MA.ORCID 0000-0001-6299-3763
Yanping LiMillion Veteran Program Boston Coordinating Center VA Boston Healthcare System Boston MA.ORCID 0000-0002-0412-2748
Mark S NyaemeCarle Illinois College of Medicine University of Illinois Champaign IL.
Neha PanigrahyDepartment of Medicine NYU Langone School of Medicine New York NY.ORCID 0000-0003-1256-4455
Serena HoughtonMillion Veteran Program Boston Coordinating Center VA Boston Healthcare System Boston MA.ORCID 0000-0001-8833-9065
Kerry L IveyMillion Veteran Program Boston Coordinating Center VA Boston Healthcare System Boston MA.
Shamlan ShiekhMillion Veteran Program Boston Coordinating Center VA Boston Healthcare System Boston MA.
Walter C WillettDepartment of Nutrition Harvard T. H. Chan School of Public Health Boston MA.ORCID 0000-0003-1458-7597
Frank B HuDepartment of Nutrition Harvard T. H. Chan School of Public Health Boston MA.ORCID 0000-0002-8233-6274
J Michael GazianoMillion Veteran Program Boston Coordinating Center VA Boston Healthcare System Boston MA.ORCID 0000-0002-5384-9767
Peter W F WilsonVA Atlanta Medical Center Decatur GA.ORCID 0000-0002-5653-7056
Kelly ChoMillion Veteran Program Boston Coordinating Center VA Boston Healthcare System Boston MA.
Luc DjousseMillion Veteran Program Boston Coordinating Center VA Boston Healthcare System Boston MA.ORCID 0000-0002-9902-3047
VA Million Veteran Program

Funding

BLRD VA I01 BX003340BLRD VA I01 BX004821CSRD VA I01 CX001025
6 · The paper itself

Abstract

backgroundCoronary artery disease is a leading cause of morbidity and mortality in the United States. Coronary artery disease can lead to major complications including myocardial infarction (MI). The association of dietary cholesterol with coronary artery disease remains inconsistent. We examined the relation of dietary cholesterol with the incidence of MI among participants of the Million Veteran Program. METHODS AND

resultsThe Million Veteran Program is a prospective cohort database collecting genetic and nongenetic factors influencing chronic diseases. We analyzed data from 180 156 veterans with complete information on relevant dietary intake. The association between dietary cholesterol and MI risk was assessed using both linear and nonlinear models. Statistical significance was determined using the Wald test for linear trends and the likelihood ratio test for nonlinearity, alongside comparisons between high (≥300 mg/d) and low (<300 mg/d) cholesterol intake groups. In this study of 180 156 veterans with mean follow-up of 3.5 years, we observed a linear, dose-response association between dietary cholesterol intake and risk of MI, with every 100-mg/d increment in cholesterol intake associated with a 5% higher MI risk (relative risk [RR], 1.05 [95% CI, 1.02-1.08]). Subjects consuming >300 mg/d of cholesterol had a 15% increased MI risk compared with those consuming less (RR, 1.15 [95% CI, 1.06-1.25]).

conclusionsWe found that dietary cholesterol intake was linearly associated with greater risk of MI. These findings contribute to the growing literature highlighting the impact dietary cholesterol has on cardiovascular health. Reductions in cholesterol intake, which can be achieved by decreasing the intake of meat and eggs, may reduce the risk of incident MI.

Indexed as

Cholesterol, DietaryMyocardial InfarctionVeteransAgedDatabases, FactualFemaleHumansIncidenceMaleMiddle AgedProspective StudiesRisk AssessmentRisk FactorsUnited StatesCholesterol, Dietarydietary cholesterolMillion Veteran Programmyocardial infarctionnutritional epidemiologypopulation health

Identifiers

PMID39921525
PMCPMC12074708

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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.