Evidence map›Paper›PMID 31902601›Full record

ArticleClinical nutrition (Edinburgh, Scotland)2020

Egg consumption and risk of coronary artery disease in the Million Veteran Program.

Luc Djoussé, Yuk-Lam Ho, Xuan-Mai T Nguyen, Rachel M Quaden, David R Gagnon, J Michael Gaziano, Kelly Cho

Open access · greenAbstract read
In one paragraph

Article in Clinical nutrition (Edinburgh, Scotland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
2.0field-weighted citation impact, top 13% 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Article
  6. Article
  7. Nutritional Viewpoints on Eggs and Cholesterol.Foods (Basel, Switzerland) · 2021
    Review
  8. 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

7 authors at 3 institutions in 1 country.

Luc DjousséMassachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, MA, USA; Harvard Medical School, Boston, MA, USA; Department of Medicine, Division of Aging, Brigham and Women's Hospital, Boston, MA, USA. Electronic address: Ldjousse@rics.bwh.harvard.edu.
Yuk-Lam HoMassachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, MA, USA.
Xuan-Mai T NguyenMassachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, MA, USA; Harvard Medical School, Boston, MA, USA; Department of Medicine, Division of Aging, Brigham and Women's Hospital, Boston, MA, USA.
Rachel M QuadenMassachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, MA, USA.
David R GagnonMassachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, MA, USA; Boston University School of Public Health, Boston, MA, USA.
J Michael GazianoMassachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, MA, USA; Harvard Medical School, Boston, MA, USA; Department of Medicine, Division of Aging, Brigham and Women's Hospital, Boston, MA, USA.
Kelly ChoMassachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, MA, USA; Harvard Medical School, Boston, MA, USA; Department of Medicine, Division of Aging, Brigham and Women's Hospital, Boston, MA, USA.
Brigham and Women's Hospital · USVA Boston Healthcare System · USBoston University · US

Funding

Cardiovascular Disease Risk Factors, Prevalent Cardiovascular Disease, and Genetics in the Million Veteran ProgramI01BX003340 · VA · VETERANS HEALTH ADMINISTRATION · PI CHO, KELLY, WILSON, PETER WYMAN · 2017 to 2017
–
Cardiovascular Disease Risk Factors, Cardiovascular Disease Risk Prediction, and Genetics in the Million Veteran ProgramI01BX004821 · VA · VETERANS HEALTH ADMINISTRATION · PI PETER WYMAN WILSON · 2020 to 2026
–
BLRD VA I01 BX003340BLRD VA I01 BX004821
6 · The paper itself

Abstract

BACKGROUND &

aimsLimited and inconsistent data are available on the relation between egg consumption and risk of myocardial infarction (MI) and it is unclear if adiposity or type 2 diabetes modifies egg-MI relation. We tested the primary hypothesis that egg consumption is positively associated with incidence of MI among veterans. In secondary analyses, we examined potential effect modification of egg-MI relation by adiposity and type 2 diabetes.

methodsWe analyzed data collected on 188,267 US veterans who were enrolled in the Million Veteran Program (MVP) from 2011 to 2018. Information on egg consumption was obtained via self-administered food frequency questionnaire and we used electronic health records to identify incident MI.

resultsThe mean age was 64.4 (SD = 12.0) years and 9.9% of the population were female. We ascertained 10,260 new cases of non-fatal MI during an average follow up of 3.24 years (range: 0.002 to 7.49 y). Hazard ratio (95% CI) for non-fatal MI were 1.00 (ref), 0.93 (0.85-0.1.02), 0.96 (0.87-1.05), 0.98 (0.89-1.07), 1.08 (0.98-1.19), 1.11 (1.00-1.24), and 1.13 (1.00-1.28) for egg consumption of <1/month, 1-3/month, 1/week, 2-4/week, 5-6/week, 1/d, and 2+/d, respectively, controlling for age, sex, race, body mass index, smoking, exercise, alcohol intake, and overall dietary pattern (p non-linear trend 0.019). In secondary analyses, we observed similar results with a composite endpoint including fatal MI, coronary angioplasty and revascularization.

conclusionsOur data showed no association of infrequent consumption of eggs with non-fatal MI but a slightly elevated risk with intake of 1 or more eggs per day among US veterans.

Indexed as

DietEggsAdiposityAgedBody Mass IndexCoronary Artery DiseaseDiabetes Mellitus, Type 2Dietary Approaches To Stop HypertensionExerciseFemaleHumansMaleMiddle AgedMyocardial InfarctionProportional Hazards ModelsProspective StudiesCoronary artery diseaseDietEpidemiologyRisk factors

Identifiers

PMID31902601
PMCPMC7311223
OpenAlexW2997960128

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.