Evidence map›Paper›PMID 29952992›Full record

SynthesisMedicine2018

Association between RAD51 135 G/C polymorphism and risk of 3 common gynecological cancers: A meta-analysis.

Xianling Zeng, Yafei Zhang, Lei Yang, Huiqiu Xu, Taohong Zhang, Ruifang An, Kexiu Zhu

Abstract readMeta-AnalysisReview
In one paragraph

Synthesis in Medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–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

8 citing papers in PubMed.

  1. Review
  2. Genetic Variants inGenes · 2025
    Article
  3. Cancers · 2022
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Journal of oncology · 2019
    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

7 authors.

Xianling ZengDepartment of Gynecology and Obstetrics, the First Affiliated Hospital of Xi'an Jiaotong University Department of General Surgery, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Yafei Zhang
Lei Yang
Huiqiu Xu
Taohong Zhang
Ruifang An
Kexiu Zhu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimAvailable data concerning the association between RAD51 135G/C (rs1801320) polymorphism and the risk of 3 common gynecological cancers still could not reach a consensus. Thus, we conducted a meta-analysis to explore the relationship.

methodsSeveral electronic databases and bibliographies of relevant articles were screened to identify the studies up to July 2017. Then a meta-analysis was performed to evaluate the connection between 3 common gynecological tumors' susceptibility and RAD51 135G/C polymorphism in different inheritance models. Simultaneously, we did subgroup analysis and sensitivity analysis if necessary.

resultsA total of 11 articles including 14 studies involving 4097 cases and 5890 controls were included in this meta-analysis. Overall, RAD51 135G/C polymorphism increased the risk of 3 common gynecological tumors. The subgroup analysis stratified by cancer types- endometrial carcinoma (EC) and ovarian cancer (OC)-showed that RAD51 135G/C polymorphism increased the risk of EC: allele model (C vs G: odds ratio [OR] = 4.32, 95% confidence interval [CI] = 2.63-7.10, P < .00001), dominant model (CC + GC vs GG: OR = 2.28, 95% CI = 1.44-3.60, P = .004), recessive model (CC vs GC + GG: OR = 10.27, 95% CI = 14.71-22.38, P < .00001), and homozygous model (CC vs GG: OR = 7.26, 95% CI = 3.59-14.68, P < .00001), but there was no significant association between RAD51 135G/C polymorphism and OC. In the subgroup analysis stratified by source of controls, a significantly increased risk was observed in hospital-based studies. Nevertheless, the data showed RAD51 135G/C polymorphism had no link in population-based studies.

conclusionsThis meta-analysis suggested that RAD51 135G/C polymorphism was a risk factor for the three common gynecological tumors, especially for EC among hospital-based populations.

Indexed as

AllelesFemaleGenetic Predisposition to DiseaseGenital Neoplasms, FemaleGenotypeHumansPolymorphism, Single NucleotideRad51 RecombinaseRisk FactorsRAD51 protein, humanRad51 Recombinase

Identifiers

PMID29952992
PMCPMC6039596

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.