Evidence map›Paper›PMID 26379833›Full record

ArticleInternational journal of clinical and experimental medicine2015

XRCC1 Arg399Gln polymorphism is not associated with breast cancer in Chinese.

Shuren Guo, Xiaohuan Mao, Liang Ming

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
0.8field-weighted citation impact, top 27% 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

1 citing paper in PubMed, 8 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

3 authors at 2 institutions in 1 country.

Shuren GuoDepartment of Clinical Laboratory, The First Affiliated Hospital of Zhengzhou University Zhengzhou 450002, Henan, P. R. China.
Xiaohuan MaoDepartment of Clinical Laboratory, Zhengzhou Yihe Hospital Zhengzhou 450002, Henan, P. R. China.
Liang MingDepartment of Clinical Laboratory, The First Affiliated Hospital of Zhengzhou University Zhengzhou 450002, Henan, P. R. China.
First Affiliated Hospital of Zhengzhou University · CNZhengzhou City Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA number of studies have been conducted to explore the association of XRCC1 polymorphisms with Breast cancer (BC) risk in Asians, but the results have been inconsistent. We therefore performed the present meta-analysis to explore the relationship in detail. MATERIALS AND

methodsReported studies were searched from 1990 to October 15, 2014 in PubMed and Wan fang Med Online. We performed a meta-analysis of 13 published case-control studies fitting our eligibility criteria. These studies involved XRCC1 Arg399Gln polymorphisms in 4984 BC cases and 5744 controls in dominant (ArgArg vs. GlnGln+ArgGln), recessive (ArgGln+ArgArg vs. GlnGln), and co-dominant (ArgArg vs. GlnGln) inheritance models. The total odds Ratio (OR) and 95% CI were calculated and analyzed by Review Manager 5.2 and STATE 12.

resultsOverall, significantly increased BC risk was observed in any genetic model (dominant model: odds ration [OR] = 1.31, 95% confidence interval [CI] = [1.08, 1.58]; recessive model: OR = 0.63, 95% CI = [0.50, 0.81]; codominant model: OR = 2.52, 95% CI: [1.38, 4.60]) when all eligible studies were pooled into the meta-analysis. In further stratified analyses, no association was found between Arg399Gln polymorphism and BC risk in Chinese fewer than three hereditary models.

conclusionsOur results suggest that the XRCC1 Arg399Gln polymorphism may be associated with increased Breast cancer risk among Asians, except Chinese population.

Indexed as

Arg399Glnbreast cancerpolymorphismXRCC1 gene

Identifiers

PMID26379833
PMCPMC4565216
OpenAlexW2395641609

What OpenQuestion holds

Textmetadata
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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.