Evidence map›Paper›PMID 31699066›Full record

SynthesisBMC pulmonary medicine2019

Association of β2-adrenergic receptor gene polymorphisms (rs1042713, rs1042714, rs1042711) with asthma risk: a systematic review and updated meta-analysis.

Songlin Zhao, Wei Zhang, Xiuhong Nie

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMC pulmonary medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. The role of theERJ open research · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Polymorphisms in theJournal of thoracic disease · 2023
    Article
  9. Review
  10. Gene polymorphisms in asthma: a narrative review.Annals of translational medicine · 2022
    Review
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.

Songlin ZhaoDepartment of Respiratory, Xuanwu Hospital Capital Medical University, No. 45, Changchun Street, Xicheng District, Beijing, 100053, China.
Wei ZhangDepartment of Respiratory, Xuanwu Hospital Capital Medical University, No. 45, Changchun Street, Xicheng District, Beijing, 100053, China.
Xiuhong NieDepartment of Respiratory, Xuanwu Hospital Capital Medical University, No. 45, Changchun Street, Xicheng District, Beijing, 100053, China. xiuhongnie@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe published data on the association between β2-adrenergic receptor gene polymorphisms and asthma susceptibility are inconclusive. To derive a more precise estimation of this association, a meta-analysis was performed.

methodsA literature search was conducted in PubMed, Web of Science, EMBASE, Wanfang, and the China National Knowledge Infrastructure (CNKI) databases to identify eligible studies. The pooled odds ratios (ORs) with corresponding 95% confidence intervals (CIs) were used to calculate the strength of the association. A sensitivity analysis was performed to evaluate the influence of individual studies on the overall effect estimates, and funnel plots and Egger's tests were used for indications of publication bias.

resultsSeventy three studies with three single nucleotide polymorphisms (SNP) (rs1042713, c.G46A, p.Gly16Arg; rs1042714, c.G79C, p.Gln27Glu; rs1042711, c.T-47C, p.Cys19Arg) were finally identified. For the rs1042713 polymorphism, no significant association with asthma risk was found in the overall population. However, a significant protective association was found in the Indian population in the dominant model comparison (OR = 0.72, 95% CI = 0.59-0.87, I

conclusionThe meta-analysis suggests that the ADRB2 rs1042714 polymorphism has a protective association with asthma in the overall population and the pediatric subgroup.

Indexed as

Genetic Predisposition to DiseasePolymorphism, Single NucleotideAllelesAsthmaChildGenotypeHumansReceptors, Adrenergic, beta-2Risk FactorsReceptors, Adrenergic, beta-2ADRB2AsthmaMeta-analysisPolymorphism

Identifiers

PMID31699066
PMCPMC6836544

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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.