Evidence map›Paper›PMID 25901206›Full record

ArticleAmerican journal of translational research2015

Influence of microRNA-related polymorphisms on clinical outcomes in coronary artery disease.

Qianzhen Li, Liangwan Chen, Daozhong Chen, Xijie Wu, Meifang Chen

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
2.1field-weighted citation impact, top 13% 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

27 citing papers in PubMed, 2 syntheses or guidelines pooled it, 58 citations in OpenAlex.

  1. Pooled it
  2. Associations of theFrontiers in genetics · 2021
    Pooled it
  3. Review
  4. Article
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  10. Genetic Variants ofGenes · 2022
    Article
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  16. Observational
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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 1 institution in 2 countries.

Qianzhen LiDepartment of Cardiovascular Surgery, Union Hospital, Fujian Medical University Fujian 350001, China.
Liangwan ChenDepartment of Cardiovascular Surgery, Union Hospital, Fujian Medical University Fujian 350001, China.
Daozhong ChenDepartment of Cardiovascular Surgery, Union Hospital, Fujian Medical University Fujian 350001, China.
Xijie WuDepartment of Cardiovascular Surgery, Union Hospital, Fujian Medical University Fujian 350001, China.
Meifang ChenDepartment of Cardiovascular Surgery, Union Hospital, Fujian Medical University Fujian 350001, China.
Fujian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic variants in pre-microRNA (miRNA) genes or the 3'UTR of miRNA target genes could influence miRNA-mediated regulation of gene expression and thus contribute to the susceptibility and prognosis of human diseases. This study aimed to investigate the effect of 6 miRNA-related polymorphisms (miR-149 rs71428439, miR-146a rs2910164, miR-499 rs3746444, miR-423 rs6505162, miR-4513 rs2168518, and FABP2 rs11724758) on prognosis in 1004 patients with angiographic coronary artery disease (CAD). We found that miR-4513 rs2168518 was associated with blood pressure, triglycerides, total cholesterol, and fasting glucose levels, and risk of diabetes mellitus. miR-499 rs3746444 and miR-423 rs6505162 were associated with blood pressure and HDL levels, respectively. Both miR-4513 rs2168518 and miR-499 rs3746444 had significant impact on even-free survival. Furthermore, miR-4513 rs2168518 was associated with higher morality in CAD patients. In conclusion, miR-4513 rs2168518 and miR-499 rs3746444 might be potential biomarkers for the clinical prognosis of CAD.

Indexed as

cardiovascular eventCoronary artery diseaselipidmicroRNAmortalitypolymorphism

Identifiers

PMID25901206
PMCPMC4399102
OpenAlexW2297231938

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.