Evidence map›Paper›PMID 26629080›Full record

ArticleInternational journal of clinical and experimental medicine2015

Lack of an association between XRCC2 R188H polymorphisms and breast cancer: an update meta-analysis involving 35,422 subjects.

Bin Kong, Zhi-Dong Lv, Li Chen, Ruo-Wu Shen, Li-Ying Jin, Zhao-Chuan Yang

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 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

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

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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

6 authors.

Bin KongDepartment of Breast Surgery, The Affiliated Hospital of Qingdao University Qingdao 266003, P. R. China.
Zhi-Dong LvDepartment of Breast Surgery, The Affiliated Hospital of Qingdao University Qingdao 266003, P. R. China.
Li ChenInstitute of Basic Sciences, Shandong Academy of Medical Sciences Jinan 250000, P. R. China.
Ruo-Wu ShenDepartment of Anatomy, Medical College, Qingdao University Qingdao 266003, P. R. China.
Li-Ying JinInstitute of Cerebrovascular Disease Research, The Affiliated Hospital of Qingdao University Qingdao 266003, P. R. China.
Zhao-Chuan YangDepartment of Child Health Care, The Affiliated Hospital of Qingdao University Qingdao 266003, P. R. China.

Funding

HSRD VA CDP 13-005
6 · The paper itself

Abstract

purposeSeveral studies have investigated the associations between XRCC2 R188H polymorphism and the susceptibility to breast cancer, but the results have been inconclusive. To derive a more precise estimation of the relationship, a meta-analysis was performed.

methodsPubMed and China National Knowledge Infrastructure (CNKI) searches were carried out for relevant studies published before March 2015. Meta-analysis was performed with the Stata, version 11.0.

resultsA total of 17 case-control studies, including 17,986 cases and 17,436 controls, were selected. Crude odds ratios (ORs) with 95% confidence intervals (CIs) were used to assess the strength of association in the homozygous model, dominant model, and recessive model. When all the studies were pooled into the meta-analysis, there was no evidence showing a significant association between XRCC2 R188H polymorphism and breast cancer risk (for homozygous model, OR=0.84, 95% CI=0.62-1.14; for dominant model: OR=0.76, 95% CI=0.53-1.09; and for recessive model: OR=1.04, 95% CI=0.98-1.10). In the subgroup analysis by ethnicity, no significant association was found between the polymorphism and breast cancer risk.

conclusionsIn conclusion, this meta-analysis indicates that the XRCC2 R188H polymorphism is not a risk factor for developing of breast cancer.

Indexed as

breast cancermeta-analysispolymorphismsusceptibilityXRCC2

Identifiers

PMID26629080
PMCPMC4658969

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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.