Evidence map›Paper›PMID 27832287›Full record

SynthesisHerz2017

Association between microRNA polymorphisms and coronary heart disease : A meta-analysis.

X Xie, X Shi, X Xun, L Rao

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Herz, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
1.0field-weighted citation impact, top 24% 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
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 2 institutions in 1 country.

X XieDepartment of Cardiology, West China Hospital, Sichuan University, 610041, Chengdu, Sichuan, China.
X ShiDivision of Reproductive Medical Center, West China Second University Hospital, Sichuan University, 610041, Chengdu, Sichuan, China.
X XunWest China School of Public Health, Sichuan University, 610041, Chengdu, Sichuan, China.
L RaoDepartment of Cardiology, West China Hospital, Sichuan University, 610041, Chengdu, Sichuan, China. raoli8991@163.com.
Sichuan University · CNWest China Second University Hospital of Sichuan University · CN

Funding

National Natural Science Foundation of China 81300169National Natural Science Foundation of China (CN) 81270289
6 · The paper itself

Abstract

The association between microRNA polymorphisms (miR polymorphisms) and coronary heart disease (CHD) risk has been studied intensively, but the results have been conflicting. Therefore, we conducted the present meta-analysis to obtain a more conclusive answer. We searched for eligible articles in PubMed, MEDLINE, EMBASE, Scopus, and CNKI. Odds ratios (ORs) and 95% confidence intervals (CIs) were used to identify any potential associations. Ten case-control studies including 5,292 CHD patients and 5,446 control subjects were analyzed. The overall meta-analysis results showed that the miR-146a rs2910164 polymorphism, the miR-196a2 rs11614913 polymorphism, and the miR-499 rs3746444 polymorphism were all significantly associated with CHD risk in certain genetic models. Besides, the C allele of the miR-146a rs2910164 and miR-499 rs3746444 polymorphisms conferred increased susceptibility to CHD (C versus G, p < 0.0001, OR = 1.14, 95% CI = 1.07-1.21; p = 0.003, OR = 1.14, 95% CI = 1.05-1.25). Overall, our findings suggest that the miR-146a rs2910164, miR-196a2 rs11614913, and miR-499 rs3746444 polymorphisms may be correlated with the risk of CHD.

Indexed as

AllelesCase-Control StudiesCoronary DiseaseCorrelation of DataGenetic Predisposition to DiseaseHumansMicroRNAsOdds RatioPolymorphism, GeneticRiskMicroRNAsCoronary diseaseMeta-analysisMicroRNAPolymorphism, geneticRelative risk

Identifiers

PMID27832287
OpenAlexW2563119328

What OpenQuestion holds

Textmetadata
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.