Evidence map›Paper›PMID 37510245›Full record

ReviewGenes2023

Integrative Genetic Approach Facilitates Precision Strategies for Acute Myocardial Infarction.

Muzamil Khawaja, Rehma Siddiqui, Salim S Virani, Christopher I Amos, Dhrubajyoti Bandyopadhyay, Hafeez Ul Hassan Virk, Mahboob Alam, Hani Jneid, Chayakrit Krittanawong

Open access · goldAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Genes, 2023. 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
0.3field-weighted citation impact, top 37% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

9 authors at 7 institutions in 2 countries.

Muzamil KhawajaDepartment of Cardiology, Emory University School of Medicine, Atlanta, GA 30322, USA.
Rehma SiddiquiDepartment of Internal Medicine, The University of Mississippi Medical Center, Jackson, MS 39216, USA.
Salim S ViraniDepartment of Cardiology, The Aga Khan University, Karachi 74800, Pakistan.
Christopher I AmosDepartment of Medicine, Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77054, USA.ORCID 0000-0002-8540-7023
Dhrubajyoti BandyopadhyayDepartment of Cardiology, Westchester Medical Centre, New York Medical College, Valhalla, NY 10595, USA.ORCID 0000-0002-0709-4324
Hafeez Ul Hassan VirkDepartment of Cardiology, University Hospitals Cleveland Medical Center, Case Western Reserve University, Cleveland, OH 44106, USA.
Mahboob AlamDepartment of Cardiology, The Texas Heart Institute, Baylor College of Medicine, Houston, TX 77030, USA.
Hani JneidDepartment of Cardiology, University of Texas Medical Branch, Houston, TX 77030, USA.
Chayakrit KrittanawongDepartment of Cardiology, NYU Langone Health and NYU School of Medicine, New York, NY 10016, USA.
Baylor College of Medicine · USAga Khan University · PKEmory University · USJackson Memorial Hospital · USNYU Langone Health · USUniversity Hospitals of Cleveland · USWestchester Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute myocardial infarction remains a significant cause of mortality worldwide and its burden continues to grow. Its pathophysiology is known to be complex and multifactorial, with several acquired and inherited risk factors. As advances in technology and medical therapy continue, there is now increasing recognition of the role that genetics play in the development and management of myocardial infarction. The genetic determinants of acute coronary syndrome are still vastly understudied, but the advent of whole-genome scanning and genome-wide association studies has significantly expanded the current understanding of genetics and simultaneously fostered hope that genetic profiling and gene-guided treatments could substantially impact clinical outcomes. The identification of genes associated with acute myocardial infarction can help in the development of personalized medicine, risk stratification, and improved therapeutic strategies. In this context, several genes have been studied, and their potential involvement in increasing the risk for acute myocardial infarction is being investigated. As such, this article provides a review of some of the genes potentially related to an increased risk for acute myocardial infarction as well as the latest updates in gene-guided risk stratification and treatment strategies.

Indexed as

Genome-Wide Association StudyMyocardial InfarctionHumansRisk Factorsacute myocardial infarctiongeneticsprecision medicine

Identifiers

PMID37510245
PMCPMC10379681
OpenAlexW4382133537

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.