Evidence map›Paper›PMID 24658926›Full record

SynthesisJournal of assisted reproduction and genetics2014

The Asn680Ser polymorphism of the follicle stimulating hormone receptor gene and ovarian cancer risk: a meta-analysis.

Xue Qin, Liping Ma, Shi Yang, Jianyang Zhao, Siyuan Chen, Yantong Xie, Jian Wang, Taijie Li, Yu He, Qiliu Peng and 3 more

Open access · greenAbstract readMeta-Analysis
In one paragraph

Synthesis in Journal of assisted reproduction and genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

4 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. 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

13 authors at 3 institutions in 1 country.

Xue Qin
Liping Ma
Shi Yang
Jianyang Zhao
Siyuan Chen
Yantong Xie
Jian Wang
Taijie Li
Yu He
Qiliu Peng
Yan Deng
Shan Li
Aiping Qin
First Affiliated Hospital of GuangXi Medical University · CNGuangxi Medical University · CNGuangxi University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe purpose of this study was to conduct a meta-analysis to assess the association between FSHR Asn680Ser polymorphism and ovarian cancer susceptibility.

methodsA literature search was conducted in PubMed, Embase and the China National Knowledge Infrastructure (CNKI) for all relevant studies published up to September 2013. The pooled odds ratios (ORs) with the corresponding 95 % confidence intervals (95 % CIs) were calculated to evaluate the association.

resultsFour case-control studies including 474 ovarian cancer cases and 659 controls met the inclusion criteria. The pooled analyses showed that FSHR Asn680Ser polymorphism was associated with the risk of ovarian cancer (Ser vs Asn: OR=1.295, 95 % CI 1.057-1.498, P=0.01; Ser/Ser + Asn/Ser vs Asn/Asn: OR=1.611, 95 % CI 1.027-2.528, P=0.038). Subgroup analyses by ethnicity (Caucasian and Asian) further revealed significant associations among Asians (Ser vs Asn: OR=1.386, 95 % CI 1.066-1.802, P=0.015; Ser/Ser + Asn/Ser vs Asn/Asn: OR=1.893, 95 % CI 1.329-2.689, P=0.000) but not Caucasians. There was no obvious risk of publication bias.

conclusionsThe meta-analysis suggests that FSHR Asn680Ser polymorphism may be a risk factor for ovarian cancer in Asians. Due to the limited quantity of the included studies, further studies are needed to validate the above conclusions.

Indexed as

Genetic Association StudiesGenetic Predisposition to DiseaseAsian PeopleCase-Control StudiesChinaFemaleGenotypeHumansOvarian NeoplasmsReceptors, FSHWhite PeopleReceptors, FSH

Identifiers

PMID24658926
PMCPMC4048372
OpenAlexW2002653348

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.