Evidence map›Paper›PMID 29535531›Full record

ArticleOncoTargets and therapy2018

Genetic association between HER2 and ESR2 polymorphisms and ovarian cancer: a meta-analysis.

Liang Tang, Jianming Li, Meihua Bao, Ju Xiang, Yiwei Chen, Yan Wang

Open access · goldAbstract read
In one paragraph

Article in OncoTargets and therapy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 35% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Liang TangDepartment of Human Anatomy, Histology and Embryology, Institute of Neuroscience, Changsha Medical University, Changsha, People's Republic of China.
Jianming LiDepartment of Human Anatomy, Histology and Embryology, Institute of Neuroscience, Changsha Medical University, Changsha, People's Republic of China.
Meihua BaoDepartment of Human Anatomy, Histology and Embryology, Institute of Neuroscience, Changsha Medical University, Changsha, People's Republic of China.
Ju XiangDepartment of Human Anatomy, Histology and Embryology, Institute of Neuroscience, Changsha Medical University, Changsha, People's Republic of China.
Yiwei ChenDepartment of Human Anatomy, Histology and Embryology, Institute of Neuroscience, Changsha Medical University, Changsha, People's Republic of China.
Yan WangDepartment of Human Anatomy, Histology and Embryology, Institute of Neuroscience, Changsha Medical University, Changsha, People's Republic of China.
Changsha Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe estrogen receptor (ER) and the human epidermal growth factor receptor 2 (HER2) each play an important role in female cancers. This study aimed to investigate the genetic association between three common single nucleotide polymorphisms (SNPs) and the risk of ovarian cancer. The SNPs investigated in this study were ESR2 rs1271572 and rs3020450 and HER2 rs1801200.

methodsIn this study, databases were electronically searched in a meta-analysis. Databases used were PubMed, Embase, China National Knowledge Infrastructure (CNKI), Wanfang and Cochrane library. Case-control studies on the association between ESR2 and HER2 polymorphisms were selected according to inclusion and exclusion standard. Articles were evaluated for quality, and data were extracted.

resultsA total of 13 articles with 5,461 cases and 7,603 controls were included in this meta-analysis. The recessive model of ESR2 rs1271572 was shown to be significantly associated with the risk of ovarian cancer (

conclusionThe recessive model of ESR2 rs1271572 and the dominant model of ESR2 rs3020450 might be susceptible factors for ovarian cancer.

Indexed as

ESR2HER2meta-analysisovarian cancer

Identifiers

PMID29535531
PMCPMC5840274
OpenAlexW2792347744

What OpenQuestion holds

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LicenceCC BY-NC
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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.