Evidence map›Paper›PMID 29390465›Full record

SynthesisMedicine2017

Interleukin-13 +2044 G/A and +1923C/T polymorphisms are associated with asthma susceptibility in Asians: A meta-analysis.

Quanhui Mei, Jingjing Qu

Open access · goldAbstract readMeta-AnalysisReview
In one paragraph

Synthesis in Medicine, 2017. 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
1.6field-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, 14 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

2 authors at 1 institution in 2 countries.

Quanhui MeiDepartment of Intensive Care Unit, The First People's Hospital of Changde City, Changde, Hunan Department of Medical Oncology, Lung Cancer and Gastrointestinal Unit, Hunan Cancer Hospital, Affiliated Cancer Hospital of Xiangya School of Medicine, Changsha, China.
Jingjing Qu
Hunan Cancer Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A number of studies have reported that the interleukin 13 (IL-13) gene is associated with asthma susceptibility. However, the reported relationships between the +2044G/A and +1923C/T polymorphisms and asthma susceptibility are inconsistent, especially in Asian adults and children with atopic status. Meta-analysis was used to analyze combined data.The +2044G/A and +1923C/T polymorphisms were investigated using data from 18 and 11 studies, respectively. The results suggested that there was an association between asthma and the IL-13 +2044G/A polymorphisms: odds ratio (OR) 1.34, 95% confidence interval (CI) 1.03-1.75 for AA versus GG + GA and +1923C/T; OR 1.50, 95% CI 1.26-1.78 for TT versus CC; and OR 1.15, 95% CI 1.10-1.21 for TC versus CC. The subgroup meta-analysis demonstrated that IL-13 +2044G/A polymorphisms are associated with asthma: OR 1.47, 95% CI 1.06-2.04 for AA versus GG + GA and +1923C/T; OR 1.70, 95% CI 1.26-2.30 for TT versus CC; and OR 1.27, 95% CI 1.03-1.56 for TC versus CC. In particular, IL-13 +2044G/A polymorphisms are specifically associated with Asian ethnicity in both adults and children with atopic status. However, the 1923C/T polymorphisms were not significantly associated with age group or atopic status within the Asian subgroups. Further investigation using larger samples and meta-analysis is required. No publication bias was detected.This meta-analysis indicates that the IL13 +2044G/A and +1923C/T polymorphisms are risk factors for asthma, especially among Asians.

Indexed as

AdultAsian PeopleAsthmaChildChinaGenetic Predisposition to DiseaseHumansIncidenceInterleukin-13Polymorphism, GeneticRisk AssessmentYoung AdultInterleukin-13

Identifiers

PMID29390465
PMCPMC5758167
OpenAlexW2780986046

What OpenQuestion holds

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LicenceCC BY-SA
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.