Evidence map›Paper›PMID 24963658›Full record

SynthesisPloS one2014

Association between RANTES gene polymorphisms and asthma: a meta-analysis.

Dan Wen, Xin Du, Shao-Ping Nie, Jian-Zeng Dong, Chang-Sheng Ma

Erratum issuedOpen access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 34% 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, 5 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Dan WenDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Xin DuDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Shao-Ping NieDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Jian-Zeng DongDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Chang-Sheng MaDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Beijing Anzhen Hospital · CNCapital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA few recent studies have suggested that regulated on activation, normal T cell expressed and secreted (RANTES) polymorphisms (-403 G/A, -28C/G) are associated with asthma. However, there still existed studies which did not confirm these correlations.

objectiveThe objective of this study was to evaluate the relationship of RANTES and asthma using a meta-analysis.

methodsPubmed, Embase, and Cochrane library databases were systemically searched. Data were extracted by two independent reviewers and pooled odds ratio (OR) with 95% confidence interval (CI) were calculated.

resultsEighteen studies were enrolled, including a total of 2558 cases and 2630 controls of -403 G/A, as well as 3311 cases and 4031 controls of -28C/G in this meta-analysis. The overall ORs and 95% CIs of -403 G/A were 1.19, 1.06-1.33 (P<0.001) and 1.25, 1.03-1.51 (P = 0.933) in dominant and recessive models, respectively. The overall ORs and 95% CIs of -28G were 1.23, 1.09-1.39 (P = 0.221) and 1.76, 1.32-2.34 (P = 0.356) in dominant and recessive models, respectively. No publication bias among studies was showed.

conclusionsThis meta-analysis showed that RANTES -403 G/A polymorphism was a risk factor for asthma, while -28C/G polymorphism were not associated with asthma.

Indexed as

Polymorphism, GeneticAsthmaChemokine CCL5Genetic Association StudiesGenotypeHumansOdds RatioChemokine CCL5

Identifiers

PMID24963658
PMCPMC4070887
OpenAlexW1982639249

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.