Evidence map›Paper›PMID 26816662›Full record

ArticleAging and disease2016

Association between Apolipoprotein C-III Gene Polymorphisms and Coronary Heart Disease: A Meta-analysis.

Jing-Zhan Zhang, Xiang Xie, Yi-Tong Ma, Ying-Ying Zheng, Yi-Ning Yang, Xiao-Mei Li, Zhen-Yan Fu, Chuan-Fang Dai, Ming-Ming Zhang, Guo-Ting Yin and 3 more

Open access · goldAbstract read
In one paragraph

Article in Aging and disease, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
2.5field-weighted citation impact, top 12% 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

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

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Article
  6. Review
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  8. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 2 institutions in 1 country.

Jing-Zhan ZhangDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, China.
Xiang XieDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, China.
Yi-Tong MaDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, China.
Ying-Ying ZhengDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, China.
Yi-Ning YangDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, China.
Xiao-Mei LiDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, China.
Zhen-Yan FuDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, China.
Chuan-Fang DaiDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, China.
Ming-Ming ZhangDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, China.
Guo-Ting YinDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, China.
Fen LiuDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, China.
Bang-Dang ChenDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, China.
Min-Tao GaiDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, China.
First Affiliated Hospital of Xinjiang Medical University · CNXinjiang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polymorphisms in the apolipoprotein C-III (APOC3) gene have been reported to be associated with coronary heart disease (CHD), but the data so far have been conflicting. To derive a more precise estimation of these associations, we performed a meta-analysis to investigate the three main polymorphisms (SstI, T-455C, C-482T) of APOC3 in all published studies. Databases including PubMed, Web of Science, Wanfang, SinoMed and CNKI were systematically searched. The association was assessed using odds ratios (ORs) with 95% confidence intervals (CIs). The statistical analysis was performed using Review Manager 5.3.3 and Stata 12.0. A total of 31 studies have been identified. The pooled odds ratio (OR) for the association between the APOC3 gene polymorphisms and CHD and its corresponding 95% confidence interval (95% CI) were evaluated by random or fixed effect models. A statistical association between APOC3 SstI polymorphism and CHD susceptibility was observed under an allelic contrast model (P= 0.003, OR = 1.14, 95% CI = 1.05-1.24), dominant genetic model (P= 0.01, OR = 1.14, 95% CI = 1.03-1.26), and recessive genetic model (P= 0.02, OR = 1.35, 95% CI = 1.06-1.71), respectively. A significant association between the APOC3 T-455C polymorphism and CHD was also detected under an allelic contrast (P < 0.0001, OR = 1.19, 95% CI = 1.10-1.29), dominant genetic model (P= 0.0003, OR = 1.24, 95% CI = 1.11-1.39) and recessive genetic model (P= 0.04, OR = 1.30, 95% CI = 1.01-1.67). No significant association between the APOC3 C-482T polymorphism and CHD was found under an allelic model (P= 0.94, OR = 1.00, 95% CI = 0.93-1.08), dominant genetic model (P= 0.20, OR = 1.07, 95% CI = 0.97-1.18) or recessive genetic model (P= 0.13, OR = 0.90, 95% CI = 0.79-1.03). This meta-analysis revealed that the APOC3 SstI and T-455C polymorphisms significantly increase CHD susceptibility. No significant association was observed between the APOC3 C-482T polymorphism and CHD susceptibility.

Indexed as

APOC3Coronary heart diseaseMeta-analysisPolymorphism

Identifiers

PMID26816662
PMCPMC4723232
OpenAlexW2254502361

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.