Evidence map›Paper›PMID 41059404›Full record

ArticlePeerJ2025

The association between

Bao Hoang Le, Khanh Quang Tran, Nhu Nhat Quynh Nguyen, Truc Thanh Thai

Abstract read
In one paragraph

Article in PeerJ, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing 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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Bao Hoang LeDepartment of Endocrinology, University Medical Center at Ho Chi Minh City, Ho Chi Minh City, Vietnam.
Khanh Quang TranDepartment of Endocrinology, University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh City, Vietnam.
Nhu Nhat Quynh NguyenCenter for Molecular Biomedicine, University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh City, Vietnam.
Truc Thanh ThaiDepartment of Medical Statistics and Informatics, University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh City, Vietnam.ORCID 0000-0003-2512-8281

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Type 2 diabetes mellitus (T2DM) significantly increases the risk of acute myocardial infarction (AMI). Polymorphisms in the ADIPOQ gene, which encodes the adiponectin hormone, are believed to influence cardiovascular disease risk. This study aims to evaluate the association between three ADIPOQ gene variants-rs266729, rs2241766, and rs1501299-and the risk of AMI in Vietnamese patients with T2DM. Methods: A case-control study was conducted from January 2023 to June 2024 at the University Medical Center, Ho Chi Minh City. The study included 275 T2DM patients with a history of AMI (case group) and 275 T2DM patients without AMI (control group). Participants were matched by age, gender, smoking status, and duration of T2DM to control for potential confounding factors. DNA was extracted from peripheral blood samples, and the three polymorphisms were genotyped using Sanger sequencing. Results: Significant associations were found between ADIPOQ gene polymorphisms and AMI risk. The G/G genotype of rs266729 and the T/T genotype of rs1501299 were associated with a reduced risk of AMI (OR = 0.45, 95% CI [0.23-0.89], Conclusion: This study suggests that rs266729 and rs1501299 may have protective effects, while rs2241766 may increase the risk of AMI in Vietnamese patients with T2DM. These findings highlight the importance of further research into adiponectin levels and long-term monitoring, and support the potential use of genetic variants in personalized cardiovascular risk management for patients with T2DM.

Indexed as

AdiponectinDiabetes Mellitus, Type 2Myocardial InfarctionAgedCase-Control StudiesFemaleGenetic Predisposition to DiseaseGenotypeHumansMaleMiddle AgedPolymorphism, Single NucleotideRisk FactorsSoutheast Asian PeopleVietnamAdiponectinADIPOQ protein, humanAcute myocardial infarctionADIPOQ geneGene polymorphismType 2 diabetes mellitus

Identifiers

PMID41059404
PMCPMC12499558

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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 OpenQuestion graph.