Evidence map›Paper›PMID 28035059›Full record

SynthesisOncotarget2017

Significant association between functional microRNA polymorphisms and coronary heart disease susceptibility: a comprehensive meta-analysis involving 16484 subjects.

Xu Liu, Lianghao You, Ruizhi Zhou, Jian Zhang

Open access · diamondAbstract readMeta-Analysis
In one paragraph

Synthesis in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
1.4field-weighted citation impact, top 19% 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Associations of theFrontiers in genetics · 2021
    Pooled it
  3. Biomedicines · 2026
    Article
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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

4 authors at 1 institution in 1 country.

Xu LiuDepartment of Neurology, First Affiliated Hospital of China Medical University, Liaoning, Shenyang 110001, China.
Lianghao YouDepartment of Cell Biology, Key Laboratory of Cell Biology, Ministry of Public Health, China, Key Laboratory of Medical Cell Biology, Ministry of Education, China Medical University, Shenyang 110122, China.
Ruizhi ZhouDepartment of Cell Biology, Key Laboratory of Cell Biology, Ministry of Public Health, China, Key Laboratory of Medical Cell Biology, Ministry of Education, China Medical University, Shenyang 110122, China.
Jian ZhangDepartment of Cell Biology, Key Laboratory of Cell Biology, Ministry of Public Health, China, Key Laboratory of Medical Cell Biology, Ministry of Education, China Medical University, Shenyang 110122, China.
China Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular epidemiological studies suggest that microRNA polymorphisms may be associated with an increased risk of coronary heart disease (CHD). However, the results of these studies were inconsistent and inconclusive. To derive a more precise evaluation, we performed a meta-analysis focused on the associations between microRNA polymorphisms and CHD risk. PubMed, Embase, CNKI and Wanfang databases were searched. Odds ratios (ORs) with 95% confidence intervals (CIs) were applied to assess the association between microRNA-146a rs2910164, microRNA-196a2 rs11614913, microRNA-499 rs3746444 and microRNA-149 rs71428439 polymorphisms and CHD susceptibility. Heterogeneity, publication bias and sensitivity analysis were conducted to measure the robustness of our findings. A total of thirteen related studies involving 8,120 patients and 8,364 controls were analyzed. Significant associations between microRNA-146a rs2910164 polymorphism and CHD risk were observed in the total population, as well as in subgroup analysis. For microRNA-196a2 rs11614913 and microRNA-499 rs3746444, similarly increased risks were also found. In addition, no significant association was detected between microRNA-149 rs71428439 polymorphism and CHD risk. In conclusion, our meta-analyses suggest that microRNA polymorphisms may be associated with increased risk of CHD development.

Indexed as

Polymorphism, Single NucleotideCoronary DiseaseGenetic Association StudiesGenetic Predisposition to DiseaseHumansMicroRNAsMicroRNAsMIRN146 microRNA, humanMIRN149 microRNA, humanMIRN196 microRNA, humanMIRN499 microRNA, humancoronary heart diseasemeta-analysismicroRNAPathology Sectionpolymorphism

Identifiers

PMID28035059
PMCPMC5351582
OpenAlexW2562471392

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.