Evidence map›Paper›PMID 26770336›Full record

ArticleInternational journal of clinical and experimental medicine2015

Rs5498 polymorphism may be a risk factor for coronary heart disease in Chinese population: evidence from a meta-analysis involving 5537 subjects.

Lei Cui, Shicong Jing, Xiangfen Wang, Qiang Zong, Xiao Li, Chunxiao Jiao, Lei Peng, Lin Liu, Xinmiao Xu, Mingfeng Niu

Open access · greenAbstract 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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 76% 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

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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

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. Article
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

10 authors at 3 institutions in 1 country.

Lei CuiDepartment of Cardiology, Yantai Yeda Hospital Affiliated to Binzhou Medical University Yantai 264006, Shandong, China.
Shicong JingDepartment of Cardiology, Yantai Yeda Hospital Affiliated to Binzhou Medical University Yantai 264006, Shandong, China.
Xiangfen WangDepartment of Geriatrics, Yantai Yeda Hospital Affiliated to Binzhou Medical University Yantai 264006, Shandong, China.
Qiang ZongDepartment of Orthopaedics, The Second Hospital of Tianjin Medical University Tianjin 300211, China.
Xiao LiDepartment of Respiratory Medicine, Affiliated Hospital to Binzhou Medical University Bibzhou 256603, Shandong, China.
Chunxiao JiaoDepartment of Endocrinology, Yantai Yeda Hospital Affiliated to Binzhou Medical University Yantai 264006, Shandong, China.
Lei PengDepartment of Radiology, Yantai Yeda Hospital Affiliated to Binzhou Medical University Yantai 264006, Shandong, China.
Lin LiuDepartment of Radiology, Yantai Yeda Hospital Affiliated to Binzhou Medical University Yantai 264006, Shandong, China.
Xinmiao XuDepartment of Endocrinology, Yantai Yeda Hospital Affiliated to Binzhou Medical University Yantai 264006, Shandong, China.
Mingfeng NiuDepartment of Radiology, Yantai Haigang Hospital Yantai 264002, Shandong, China.
Binzhou University · CNSecond Hospital of Tianjin Medical University · CNYuhuangding Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite large numbers of studies from Chinese population related to the association between rs5498 polymorphism and coronary heart disease (CHD) risk, the results are inconsistent probably due to the difference in the nationalities. To further evaluate the impact of the rs5498 polymorphism on CHD risk of different nationalities population, we performed this meta-analysis. We comprehensively searched the eligible studies for the present meta-analysis through China National Knowledge Infrastructure (CNKI), PubMed, EMBASE databases. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) were obtained to evaluate the strength of the association between rs5498 polymorphism and CHD risk. Finally, a total of 18 studies including 5537 subjects met the inclusion criteria. The pooled result showed that the rs5498 polymorphism was significantly associated with an increased risk of CHD in allele comparison model (OR=1.43, 95% CI=1.17-1.73, P=0.000), homozygote model (OR=1.23, 95% CI=1.03-1.46, P=0.000), heterozygote model (OR=1.23, 95% CI=1.03-1.46, P=0.018), dominant model (OR=1.45, 95% CI=1.21-1.74, P=0.001) and recessive model (OR=2.17, 95% CI=1.70-2.77, P=0.002). But subgroup analysis only supported the results from data of Han and Zhuang population in South China and North China. We did not find any evidences revealing some relationship between them in the Uygur population of Northwest China. Totally, the results of our meta-analysis indicate that the rs5498 polymorphism may be associated with coronary heart disease in Han and Zhuang population but not in Uyghur population. A large number of well-designed and multiracial studies should be conducted to re-evaluate the relationship.

Indexed as

Coronary heart diseasemeta-analysispolymorphismrs5498

Identifiers

PMID26770336
PMCPMC4694236
OpenAlexW2409829288

What OpenQuestion holds

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Registered trials

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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.