Evidence map›Paper›PMID 40605456›Full record

ArticleEuropean heart journal2025

First myocardial infarction: risk factors, symptoms, and medical therapy.

Nick S Nurmohamed, Quyen Ngo-Metzger, Pam R Taub, Kausik K Ray, Gemma A Figtree, Marc P Bonaca, Judith A Hsia, Santosh Angadageri, James P Earls, Fatima Rodriguez and 5 more

Abstract read
In one paragraph

Article in European heart journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. The potential of artificial intelligence in clinical trials.European journal of clinical investigation · 2026
    Review
  8. Article
  9. Article
  10. Article
  11. 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

15 authors.

Nick S NurmohamedDepartment of Cardiology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.ORCID 0000-0001-9045-6009
Quyen Ngo-MetzgerDepartment of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA, USA.
Pam R TaubDivision of Cardiovascular Diseases, Department of Medicine, University of California, San Diego, CA, USA.
Kausik K RayImperial Centre for Cardiovascular Disease Prevention, School of Public Health, Imperial College London, London, United Kingdom.
Gemma A FigtreeFaculty of Medicine & Health, University of Sydney, Camperdown, NSW, Australia.
Marc P BonacaDepartment of Medicine, Cardiology and Vascular Medicine, University of Colorado School of Medicine, Aurora, CO, USA.ORCID 0000-0002-9860-3584
Judith A HsiaDepartment of Medicine, Cardiology and Vascular Medicine, University of Colorado School of Medicine, Aurora, CO, USA.
Santosh AngadageriData Analytics & Insights, Clarivate Analytics US LLC, Toronto, ON, Canada.
James P EarlsCleerly Inc., Denver, CO, USA.
Fatima RodriguezDepartment of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Alexander T SandhuDepartment of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
James K MinCleerly Inc., Denver, CO, USA.
Udo HoffmannCleerly Inc., Denver, CO, USA.
David J MaronDepartment of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Deepak L BhattMount Sinai Fuster Heart Hospital, Icahn School of Medicine at Mount Sinai, 1 Gustave Levy Place, Box 1030, New York, NY 10029, USA.ORCID 0000-0002-1278-6245

Funding

Cleerly Inc.
6 · The paper itself

Abstract

BACKGROUND AND

aimsDespite the implementation of clinical risk algorithms based on traditional risk factors, the global burden of atherosclerotic cardiovascular disease has continued to rise over the past decades. There are few real-world data on prevalence of both symptoms and risk factors prior to myocardial infarction (MI). This study aimed to investigate the prevalence of documented coronary artery disease risk factors, documented symptoms, physician visits, and preventive therapy uptake prior to first MI.

methodsIn this retrospective cohort study, US patients ≥18 years with a first MI [International Classification of Diseases, 10th Revision (ICD-10) definition] between 1 January 2017 and 30 September 2022 were included from the Clarivate Real-World Data Product that links electronic health records, medical claims, and pharmacy claims from 98% of government and commercial health insurance plans in the US. Prevalence of previously ICD-10 documented cardiac symptoms and standard modifiable risk factors (SMuRFs), physician visits, and use of preventive medical therapy were assessed prior to MI.

resultsThe study identified 4 657 412 patients with a first MI (2017-2022), with a median age of 70 years; 42.3% were women. Prior to MI, 50.5% of patients had no documented symptoms, 18.0% had no SMuRFs, 22.2% did not have documented physician visits, and 63.4% were not prescribed any preventive therapy. Individuals ≤60 years and men were less likely to have documented symptoms and SMuRFs, had lower frequency of primary care physician visits, used less preventive therapy, and had more frequent occurrence of ST-elevation MI than individuals >60 years and women, respectively.

conclusionsIn a large real-world dataset, half of the patients with first MI did not have documented antecedent symptoms, and approximately 1 in 5 had no previously identified SMuRFs. The majority of those who visited a physician prior to the MI with identified SMuRFs and symptoms were not using any preventive medical therapy. These findings highlight an urgent unmet need for improved tools to identify patients at risk of MI who may benefit from preventive therapy.

Indexed as

Myocardial InfarctionAgedFemaleHumansMaleMiddle AgedPrevalenceRetrospective StudiesRisk FactorsUnited StatesAcute coronary syndromesMyocardial infarctionPreventionReal-world dataStandard modifiable risk factors

Identifiers

PMID40605456
PMCPMC12500329

What OpenQuestion holds

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LicenceCC BY
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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.