Evidence map›Paper›PMID 34671317›Full record

SynthesisFrontiers in endocrinology2021

Association of Estrogen Receptor Genes Polymorphisms With Polycystic Ovary Syndrome: A Systematic Review and Meta-Analysis Based on Observational Studies.

Siyu Zhou, Shu Wen, Yongcheng Sheng, Meina Yang, Xiaoyang Shen, Yan Chen, Deying Kang, Liangzhi Xu

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Frontiers in endocrinology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

  1. Study of Estrogen Receptor Alpha Gene Polymorphisms (International journal of molecular sciences · 2026
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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

8 authors at 3 institutions in 1 country.

Siyu ZhouDepartment of Obstetrics and Gynaecology, West China Second University Hospital, Sichuan University, Chengdu, China.
Shu WenDepartment of Obstetrics and Gynaecology, West China Second University Hospital, Sichuan University, Chengdu, China.
Yongcheng ShengDepartment of Evidence-based Medicine and Clinical Epidemiology, West China Hospital, Sichuan University, Chengdu, China.
Meina YangDepartment of Obstetrics and Gynaecology, West China Second University Hospital, Sichuan University, Chengdu, China.
Xiaoyang ShenDepartment of Obstetrics and Gynaecology, West China Second University Hospital, Sichuan University, Chengdu, China.
Yan ChenDepartment of Obstetrics and Gynaecology, West China Second University Hospital, Sichuan University, Chengdu, China.
Deying KangDepartment of Evidence-based Medicine and Clinical Epidemiology, West China Hospital, Sichuan University, Chengdu, China.
Liangzhi XuDepartment of Obstetrics and Gynaecology, West China Second University Hospital, Sichuan University, Chengdu, China.
West China Second University Hospital of Sichuan University · CNSichuan University · CNWest China Hospital of Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Controversial results existed in amounts of studies investigating the authentic association of estrogen receptor genes (ESR1 and ESR2) polymorphisms with the occurrence and progression of polycystic ovary syndrome (PCOS). The inconsistency might result from different loci, sample sizes, and ethnicities. To find the potential correlations between ESR1/ESR2 polymorphisms and PCOS risk, we conducted the first systematic review and meta-analysis to comprehensively summarize current studies in a large combined population. Methods: Eligible studies were retrieved from PubMed, MEDLINE, EMBASE, Cochrane Library, CBM, CNKI, WANFANG, and VIP up to February 28, 2021. The quality of studies was assessed using the Newcastle-Ottawa Scale (NOS) scoring system. Odds ratios (ORs) and 95% confidence intervals (95%CIs) were calculated to synthesize data in five genetic models. Subgroup analyses were conducted by ethnicity. Heterogeneity and publication bias were also assessed. The protocol was registered in PROSPERO under the number CRD42021239200. Results: A total of 8 studies involving 1,522 PCOS patients and 4,198 controls were included. No evidence demonstrated the association of ESR1 rs2234693 (OR=1.07 95%CI 0.98-1.18), ESR1 rs9340799 (OR=0.99 95%CI 0.69-1.43), or ESR2 rs4986938 (OR=1.06 95%CI 0.81-1.38) polymorphisms and PCOS risk in five genetic models. According to stratified subgroup analyses, ethnicity was considered the major source of heterogeneity. No publication bias was found in eligible studies. Conclusion: The present meta-analysis found no significant associations between the variants of ESR1 rs2234693, ESR1 rs9340799, ESR2 rs4936938, and individual PCOS susceptibility, even if ethnicity was taken into account. Systematic Review Registration: The protocol was registered in PROSPERO (available from https://www.crd.york.ac.uk/PROSPERO) with the ID number CRD42021239200.

Indexed as

Genetic Predisposition to DiseasePolymorphism, Single NucleotideFemaleHumansObservational Studies as TopicPolycystic Ovary SyndromeReceptors, EstrogenRisk FactorsReceptors, Estrogenestrogen receptorgene variantsmeta-analysispolycystic ovary syndromepolymorphisms

Identifiers

PMID34671317
PMCPMC8521002
OpenAlexW3206811368

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.