Evidence map›Paper›PMID 26885215›Full record

ArticleInternational journal of clinical and experimental medicine2015

RAD51 Gene 135G/C polymorphism and ovarian cancer risk: a meta-analysis.

Xingzhong Hu, Suyu Sun

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

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

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

  1. 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

2 authors.

Xingzhong HuDepartment of Clinical Laboratory, Wenzhou Central Hospital Wenzhou 325000, Zhejiang Province, People's Republic of China.
Suyu SunDepartment of Obstetrics and Gynecology, Wenzhou Central Hospital Wenzhou 325000, Zhejiang Province, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous studies suggest that the RAD51 gene 135G/C polymorphism could be potentially associated with the risk of ovarian cancer. However, results from observational studies are conflicting rather than conclusive. We performed a meta-analysis of the literature aiming to clarify the relationship between the polymorphism of RAD51 gene 135G/C polymorphism and the risk of ovarian cancer. Summary odds ratios (ORs) and 95% confidence intervals (95% CIs) were calculated. We identified five eligible articles, 2336 ovarian cancer cases and 3548 controls. Meta-analysis results showed no significant association between 135G/C polymorphism in the RAD51 gene and ovarian cancer risk (GG vs CC: OR=0.42, 95% CI 0.16-1.06; GC vs CC: OR=0.37, 95% CI 0.12-1.16; Dominant model: OR=0.38, 95% CI 0.13-1.06; Recessive model: OR=1.20, 95% CI 0.91-1.58). No publication bias was found in the present study. This meta-analysis suggests that the RAD51 gene 135G/C polymorphism was not associated with risk of ovarian cancer. Further large and well-designed studies are needed to confirm this conclusion.

Indexed as

genetic variantmeta-analysisOvarian cancerRAD51 gene

Identifiers

PMID26885215
PMCPMC4730001

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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.