Evidence map›Paper›PMID 28352776›Full record

ArticleOpen medicine (Warsaw, Poland)2016

GSTP1 A>G polymorphism and chemosensitivity of osteosarcoma: A meta-analysis.

Wu Fengfeng, Ye Ruqing, Xu Juntao

Open access · goldAbstract read
In one paragraph

Article in Open medicine (Warsaw, Poland), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 36% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
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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

3 authors at 2 institutions in 1 country.

Wu FengfengDepartment of Orthopedics, The Central Hospital of Huzhou City Zhejiang Province 313000 PR China.
Ye RuqingDepartment of Orthopedics, The Affiliated Hospital of School of Medicine of Ningbo University 315020 PR China.
Xu JuntaoDepartment of Orthopedics, The Traditional Chinese Hospital of Huzhou Zhejiang Province 313000 PR China.
Huzhou Central Hospital · CNNingbo University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The association between GSTP1 A>G polymorphism and chemosensitivity of osteosarcoma is controversial according to previously published studies. We conducted this meta-analysis to further investigate the role of GSTP1 A>G genetic variation in response to chemotherapy resistance in patients with osteosarcoma. Using the electronic databases of Pubmed, Wanfang and CNIK were searched to find the studies related to the GSTP1 A>G polymorphism and chemosensitivity of osteosarcoma. The genotype of AA, AG and GG were extracted from the chemotherapy sensitivity and chemotherapy resistance group. The association between GSTP1 A>G polymorphism and chemosensitivity was calculated by STATA11.0 software. The correlation between GSTP1 A>G polymorphism and chemotherapy response was assessed by odds ratio (OR) and its 95% confidence interval (95%CI). Four studies with 681 cases were finally included in this meta-analysis. The pooled data indicated that there was no significant association between GSTP1 A>G polymorphism and chemosensitivity in patients with osteosarcoma [Homozygous genetic model (GG vs AA): OR=0.53, 95%CI: 0.25-1.12, P=0.10; recessive genetic model (GG vs GA+AA): OR=0.61, 95%CI:0.34-1.11,P=0.11; and dominant genetic model (GG+AG vs AA): OR=0.67, 95%CI:0.42-1.07,P=0.10]. No correlation between GSTP1 A>G polymorphism and chemosensitivity was found according to this present meta-analysis. However, the small number of cases in each included study and significant statistical heterogeneity among the trials means the conclusion should be regarded as conservative.

Indexed as

ChemosensitivityGSTP1Meta-analysisPolymorphism

Identifiers

PMID28352776
PMCPMC5329807
OpenAlexW2470965725

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.