Evidence map›Paper›PMID 24040469›Full record

ArticleInternational journal of clinical and experimental medicine2013

Signal transducer and activator of transcription 6 polymorphism and asthma risk: a meta-analysis.

Bin Li, Wei Nie, Qiong Li, Hongchao Liu, Shiyuan Liu

Open access · greenAbstract read
In one paragraph

Article in International journal of clinical and experimental medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

5 authors at 1 institution in 1 country.

Bin LiDepartment of Radiology, Shanghai Changzheng Hospital, Second Military Medical University 415 Fengyang Road, Shanghai 200003, China.
Wei Nie
Qiong Li
Hongchao Liu
Shiyuan Liu
Second Military Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe polymorphism in the signal transducer and activators of transduction 6 (STAT6) gene has been implicated in susceptibility to asthma and aetiology of asthma, but a number of studies have reported inconclusive and ambiguous results of the association between polymorphism in STAT6 gene and asthma risk in different populations. The aim of this study is to further investigate the association between the STAT6 gene polymorphism and asthma susceptibility.

methodsPubmed, EMBASE, China National Knowledge Infrastructure (CNKI) Weipu Database and Wanfang Database were searched to find relevant studies. Odds ratios (ORs) with 95% confidence intervals (CIs) were used to assess the strength of association.

resultsIncluded in this meta analysis were 14 studies involving 2875 cases and 3227 controls for STAT6 2964G/A polymorphism and six studies involving 1431 cases and 2027 controls for 2892C/T polymorphism. Overall, there was no significant association between 2964G/A polymorphism of STAT6 and asthma susceptibility for GA+AA vs. GG (OR = 0.96, 95% CI 0.85-1.07, P = 0.39). Except TT vs. CT+CC and TT vs. CC, no significant association was observed between 2892C/T polymorphism and asthma risk under other different contrast models. However, the result was instable.

conclusionsThis meta-analysis suggests that the 2964G/A polymorphism of STAT6 gene is not a risk factor of asthma. For 2892C/T, it contributes to the aetiology of or susceptibility to asthma. More studies are needed to validate this result.

Indexed as

Asthmameta-analysispolymorphismsignal transducer and activator of transcription 6

Identifiers

PMID24040469
PMCPMC3762616
OpenAlexW102042564

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.