Evidence map›Paper›PMID 26221283›Full record

ArticleInternational journal of clinical and experimental medicine2015

Association of COX-2 -765G>C genetic polymorphism with coronary artery disease: a meta-analysis.

Ming-Ming Zhang, Xiang Xie, Yi-Tong Ma, Ying-Ying Zheng, Yi-Ning Yang, Xiao-Mei Li, Zhen-Yan Fu, Fen Liu, Bang-Dang Chen

Abstract read
In one paragraph

Article in International journal of clinical and experimental medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Lipoprotein Lipase (LPL) Polymorphism and the Risk of Coronary Artery Disease: A Meta-Analysis.International journal of environmental research and public health · 2017
    Pooled it
  2. Trial
  3. 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

9 authors.

Ming-Ming ZhangDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University Urumqi 830054, P. R. China.
Xiang XieDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University Urumqi 830054, P. R. China.
Yi-Tong MaDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University Urumqi 830054, P. R. China.
Ying-Ying ZhengDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University Urumqi 830054, P. R. China.
Yi-Ning YangDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University Urumqi 830054, P. R. China.
Xiao-Mei LiDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University Urumqi 830054, P. R. China.
Zhen-Yan FuDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University Urumqi 830054, P. R. China.
Fen LiuDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University Urumqi 830054, P. R. China.
Bang-Dang ChenDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University Urumqi 830054, P. R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrevious studies suggested the single nucleotide polymorphism (SNP) of COX-2 -765G>C (rs20417) is associated with coronary artery disease (CAD), but the results were conflicting. In order to derive a more precise estimation of the associations, we performed a meta-analysis of the relationship between rs20417 and CAD in all published studies.

methodDatabases including PubMed, Web of Science, Wanfang, SinoMed and CNKI were systematically searched. Data were extracted using standardized methods. The association was assessed by odds ratio (OR) with 95% confidence intervals (CIs).The statistical tests were performed using Review Manager 5.3.3 and Stata 12.0 software.

resultsWe identified a total of 14 studies involving a total of 18227 subjects. The pooled odds ratio (OR) for the association between COX-2 -765G>C and CAD and its corresponding 95% confidence interval (95% CI) were evaluated by random or fixed effect model. A significant statistical association between COX-2 -765G>C and CAD was observed in an allelic model (P=0.02, OR=0.64, 95% CI: 0.43-0.94), dominant model (P=0.04, OR=0.74, 95% CI: 0.56-0.99), and recessive model (P=0.02, OR=0.46, 95% CI: 0.23-0.90).

conclusionThis meta-analysis suggested that COX-2 -765G>C is a protective for CAD.

Indexed as

coronary heart diseasemeta-analysispolymorphismPTGS2

Identifiers

PMID26221283
PMCPMC4509228

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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.