Evidence map›Paper›PMID 34401655›Full record

ArticleMayo Clinic proceedings. Innovations, quality & outcomes2021

Risk Factors for Premature Myocardial Infarction: A Systematic Review and Meta-analysis of 77 Studies.

Sagar B Dugani, Yousif M Hydoub, Ana Patricia Ayala, Roger Reka, Tarek Nayfeh, Jingyi Francess Ding, Shannon N McCafferty, Muayad Alzuabi, Medhat Farwati, M Hassan Murad and 2 more

Open access · goldAbstract read
In one paragraph

Article in Mayo Clinic proceedings. Innovations, quality & outcomes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
4.6field-weighted citation impact, top 4% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

  1. Pooled it
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  11. Effect of Premature Acute Coronary Syndrome on Ocular Hemodynamics.International journal of medical sciences · 2025
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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 3 countries.

Sagar B DuganiDivision of Hospital Internal Medicine, Mayo Clinic, Rochester, MN.
Yousif M HydoubAl-Mafraq Hospital, Abu Dhabi, United Arab Emirates.
Ana Patricia AyalaGerstein Science Information Centre, University of Toronto, Toronto, Ontario, Canada.
Roger RekaGerstein Science Information Centre, University of Toronto, Toronto, Ontario, Canada.
Tarek NayfehEvidence-Based Practice Center, Mayo Clinic, Rochester, MN.
Jingyi Francess DingEvidence-Based Practice Center, Mayo Clinic, Rochester, MN.
Shannon N McCaffertyUniversity of Pittsburgh, Pittsburgh, PA.
Muayad AlzuabiEvidence-Based Practice Center, Mayo Clinic, Rochester, MN.
Medhat FarwatiEvidence-Based Practice Center, Mayo Clinic, Rochester, MN.
M Hassan MuradEvidence-Based Practice Center, Mayo Clinic, Rochester, MN.
Alawi A Alsheikh-AliCollege of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai, United Arab Emirates.
Samia MoraCenter for Lipid Metabolomics, Brigham and Women's Hospital, Boston, MA.
Mayo Clinic · USBrigham and Women's Hospital · USUniversity of Toronto · CAMafraq Hospital · AEMohammed Bin Rashid University of Medicine and Health Sciences · AEUniversity of Pittsburgh · US

Funding

Patient Centered Approaches to Preventing ASCVD EventsK24HL136852 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SAMIA MORA · 2018 to 2026
$1.1M
Rural Patient Risks and Exposures for Diabetes ConTrol (Rural PREDICT)K23MD016230 · NIMHD · MAYO CLINIC ROCHESTER · PI DUGANI, CHANDRASAGAR · 2021 to 2025
$763k
NHLBI NIH HHS K24 HL136852NIMHD NIH HHS K23 MD016230
6 · The paper itself

Abstract

objectiveTo evaluate the magnitude of the association between risk factors and premature myocardial infarction (MI) (men aged 18-55 years; women aged 18-65 years). PATIENTS AND

methodsWe searched MEDLINE and other databases from inception through April 30, 2020, as well as bibliography of articles selected for data extraction. We selected observational studies reporting the magnitude of the association of at least 1 risk factor (demographic characteristics, lifestyle factors, clinical risk factors, or biomarkers) with premature MI and a control group. Pooled risk estimates (random effects) from all studies unadjusted and adjusted for risk factors were reported as summary odds ratios (ORs) with 95% CIs.

resultsFrom 35,320 articles of 12.7 million participants, we extracted data on 19 risk factors from 77 studies across 58 countries. Men had a higher risk of premature MI (OR, 2.39; 95% CI, 1.71 to 3.35) than did women. Family history of cardiac disease was associated with a higher risk of premature MI (OR, 2.67; 95% CI, 2.29 to 3.27). Major modifiable risk factors associated with higher risk were current smoking (OR, 4.34; 95% CI, 3.68 to 5.12 vs no/former), diabetes mellitus (OR, 3.54; 95% CI, 2.69 to 4.65), dyslipidemia (OR, 2.94; 95% CI, 1.76 to 4.91), and hypertension (OR, 2.85; 95% CI, 2.48 to 3.27). Higher body mass index carried higher risk (OR, 1.46; 95% CI, 1.24 to 1.71 for ≥25 kg/m

conclusionMajor risk factors for premature MI are mostly amenable to patient, population, and policy level interventions. Mild elevations in body mass index and triglyceride levels were associated with higher risk, which has implications for the growing worldwide epidemic of cardiometabolic diseases.

Indexed as

BMI, body mass indexHDL, high-density lipoproteinIHD, ischemic heart diseaseLDL, low-density lipoproteinMI, myocardial infarctionOR, odds ratioRoB, risk of bias

Identifiers

PMID34401655
PMCPMC8358212
OpenAlexW3177246177

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.