Evidence map›Paper›PMID 25932169›Full record

ArticleInternational journal of clinical and experimental medicine2015

Association between RAD51 polymorphism and breast cancer susceptibility: a meta analysis.

Wei Li, Ke-Jia Liu, Jing-Song Song, Rui Song, Zi-Liang Liu

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
1.0field-weighted citation impact, top 21% 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, 6 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

5 authors at 1 institution in 1 country.

Wei LiDepartment of Oncology, The First Peoples Hospital of Tianmen City Tianmen 431700, Hubei Province, China.
Ke-Jia LiuDepartment of Oncology, The First Peoples Hospital of Tianmen City Tianmen 431700, Hubei Province, China.
Jing-Song SongDepartment of Cardiothoracic Surgery, The First Peoples Hospital of Tianmen City Tianmen 431700, Hubei Province, China.
Rui SongDepartment of Oncology, The First Peoples Hospital of Tianmen City Tianmen 431700, Hubei Province, China.
Zi-Liang LiuDepartment of Oncology, The First Peoples Hospital of Tianmen City Tianmen 431700, Hubei Province, China.
The First People's Hospital of Tianmen · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRAD51 interacting with BRCA1 and BRCA2 could modulate the penetrance of BRCA1/BRCA2 mutations, which may increase susceptibility for breast cancer by inhibiting DNA repair and genome stability. The purpose of this study was to provide refined statistical evidence for the association between RAD51 polymorphism and breast cancer risk. DESIGN AND

resultsWe conducted a meta-analysis of 15 publications with a total of 11,766 cancer cases and 11,227 controls. We summarized the data on the association of RAD51 polymorphism with breast cancer risk and performed subgroup analyses by ethnicity and control source. The pooled ORs based on fixed-effects model did not indicate a modified risk of breast cancer associated with RAD51 polymorphism in the overall population. Nor did we find a significant association in any stratified analysis.

conclusionsThis meta-analysis suggested that RAD51 polymorphism did not appear to represent a significant risk factor for breast cancer.

Indexed as

breast cancerpolymorphismRAD51susceptibility

Identifiers

PMID25932169
PMCPMC4402816
OpenAlexW364138641

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.