Evidence map›Paper›PMID 34878577›Full record

SynthesisHerz2022

Associations between genetic variations in microRNA and myocardial infarction susceptibility: a meta-analysis and systematic review.

Yang Yang, Xiajun Shi, Zhengxun Du, Gendong Zhou, Xiaohong Zhang

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Herz, 2022. 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
0.7field-weighted citation impact, top 36% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Biomedicines · 2026
    Article
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  4. Review
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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

5 authors at 2 institutions in 1 country.

Yang YangDepartment of Cardiology, The Third Affiliated Hospital of Anhui Medical University, 230061, Hefei, Anhui, China.
Xiajun ShiDepartment of Cardiology, Tongling People's Hospital, 244002, Tongling, Anhui, China.
Zhengxun DuDepartment of Cardiology, The Third Affiliated Hospital of Anhui Medical University, 230061, Hefei, Anhui, China.
Gendong ZhouDepartment of Cardiology, The Third Affiliated Hospital of Anhui Medical University, 230061, Hefei, Anhui, China.
Xiaohong ZhangDepartment of Cardiology, The Third Affiliated Hospital of Anhui Medical University, 230061, Hefei, Anhui, China. xiaohongz2020@126.com.
Anhui Medical University · CNThe People's Hospital Tongling · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCurrent genetic association studies have reported conflicting results regarding the association between miRNA polymorphisms and myocardial infarction (MI) risk

methodsRelevant studies were retrieved from the PubMed, EMBASE, ISI Web of Science, and Scopus databases. Eligible studies determining the association between miRNA polymorphisms and MI susceptibility were included and a meta-analysis was performed to quantify the associations between miRNA polymorphisms and MI risk.

resultsA total of eight studies with 2507 MI patients and 3796 healthy controls were included, dealing with nine miRNA genes containing 11 different loci, including miR-149 (rs71428439 and rs2292832), miR-126 (rs4636297 and rs1140713), miR-146a (rs2910164), miR-218 (rs11134527), miR-196a2 (rs11614913), miR-499 (rs3746444), miR-27a (rs895819), miR-26a‑1 (rs7372209), and miR-100 (rs1834306). miR-146a rs2910164 and miR-499 rs3746444 were determined to have a significant association with MI susceptibility, a finding that was supported by the meta-analysis (rs2910164: GG/CC, odds ratio [OR]: 1.40, 95% confidence interval [95% CI]: 1.05-1.74, p < 0.001; rs3746444: AA + AG/GG, OR = 2.04, 95% CI: 1.37-2.70, p < 0.001). Limited or conflicting data were found for the relationship between the other miRNA polymorphisms (rs71428439, rs4636297, rs1140713, rs11134527, rs11614913, rs895819, rs7372209, rs1834306, rs2292832) and MI risk.

conclusionThere was a significant association between rs2910164 and rs3746444 and MI susceptibility. Further studies are required to investigate the role of miRNA polymorphisms in MI risk.

Indexed as

MicroRNAsMyocardial InfarctionGenetic Association StudiesGenetic Predisposition to DiseaseHumansPolymorphism, Single NucleotideMicroRNAsMIRN149 microRNA, humanMIRN218 microRNA, humanCoronary artery diseaseGenetic effectHardy–Weinberg equilibriumHeterogeneitySensitivity analysis

Identifiers

PMID34878577
OpenAlexW4200543485

What OpenQuestion holds

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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 OpenQuestion graph.