Evidence map›Paper›PMID 40463733›Full record

ReviewJournal of the Saudi Heart Association2025

Genetic Factors Associated With Myocardial Infarction in Saudi Arabia.

Abdullah Saeed, Abdullah AlShafea, Hussain Aldaghaies, Abdullatif Saeed, Abdulrahman Alshehri

Abstract readReview
In one paragraph

Review in Journal of the Saudi Heart Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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  6. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Abdullah SaeedResearch Unit, Ministry of Health, Abha, Saudi Arabia.
Abdullah AlShafeaResearch Unit, Ministry of Health, Abha, Saudi Arabia.
Hussain AldaghaiesResearch Unit, Ministry of Health, Abha, Saudi Arabia.
Abdullatif SaeedFamily Medicine Department, Ministry of Health, Abha, Saudi Arabia.
Abdulrahman AlshehriResearch Unit, Ministry of Health, Abha, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Myocardial infarction (MI) is one of the leading causes of mortality in Saudi Arabia, with individuals sharing genetic, lifestyle, and environmental risk factors. The present investigation aimed to review the literature on genetic susceptibility to MI among Saudi individuals, with a specific emphasis on genome-wide association studies (GWAS) for coronary artery disease (CAD) and MI. Studies have revealed the relationship between polymorphisms in genes such as proprotein convertase subtilisin/kexin type 9 (PCSK9), cholesteryl ester transfer protein (CETP), and cyclin-dependent kinase inhibitor 2B antisense RNA 1 (CDKN2B-AS1), which are involved in lipid metabolism, inflammation, and endothelial function. Methods: This PROSPERO-registered systematic review and meta-analysis (CRD42024603752) evaluates genetic determinants of myocardial infarction among Saudi adults. Five databases were searched (1989-Oct 2024) according to PRISMA guidelines. Case-control and cohort studies that met the inclusion criteria were analyzed using random-effects models. Results: Findings suggest that several polymorphic genes are highly associated with MI in Saudi citizens. There is strong evidence indicating that PCSK9, CETP, and CDKN2B-AS1 contribute to susceptibility to MI, though the effect of these polymorphic genes varies. The meta-analysis confirmed that MI is a polygenic disease, and genetic predisposition, in combination with individual lifestyle factors, determines disease progression. Conclusions: This study establishes that genetic factors significantly contribute to MI in Saudi Arabia. Integrating genetic screening with traditional cardiovascular risk assessments can enhance early intervention strategies. The findings highlight the need for MI prevention programs tailored to specific genotypes in the Saudi population.

Indexed as

Coronary artery disease (CAD)Genetic risk factorsGenome-wide association studies (GWAS)Myocardial infarction (MI)Saudi population

Identifiers

PMID40463733
PMCPMC12129463

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.