Evidence map›Paper›PMID 24708728›Full record

ArticleThe World Allergy Organization journal2014

AQUA© as predictor of allergy in elite marathon runners.

Renata N Teixeira, Felipe Ar Mendes, Milton A Martins, Timothy D Mickleborough, Celso Rf Carvalho

Open access · goldAbstract read
In one paragraph

Article in The World Allergy Organization journal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 30% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 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

5 authors at 2 institutions in 2 countries.

Renata N TeixeiraDepartment of Physical Therapy, School of Medicine, University of Sao Paulo, Av, Dr Arnaldo, 455, Room 1210, 01246-903 São Paulo, SP, Brazil. rereteixeira@hotmail.com.
Felipe Ar Mendes
Milton A Martins
Timothy D Mickleborough
Celso Rf Carvalho
Universidade de São Paulo · BRIndiana University Bloomington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe prevalence of allergy in athletes is increasing, and its risk varies across sports. The risk is dependent mainly on the ventilation rate and environmental factors; however, the prevalence of allergy in elite runners remains unknown. Therefore, the aim of this study was to screen allergy symptoms in elite marathon runners by using a validated questionnaire for screening allergy in athletes.

methodsTwo hundred and one elite marathoners, who participated in the most competitive Brazilian marathons and half-marathons during 2011, were invited to complete a validated self-report Allergy Questionnaire for Athletes (AQUA©), with additional questions pertaining to training history, such as running experience, running distance per week and their best race time in marathon or half-marathon events.

resultsSixty percent of the assessed athletes reported allergy symptoms as defined by a positive AQUA outcome (score [greater than or equal to] 5). No significant differences (p > 0.05) between groups (AQUA + and AQUA-) were observed for gender, age, running experience, weekly training volume and best performance time in the half-marathon and marathon. The most frequently reported symptoms were related to the respiratory tract and physical effort.

conclusionsThis study demonstrates that AQUA© can be used to predict allergy in elite marathon runners. In addition, these athletes have a higher prevalence of allergy symptoms to elite athletes from other sports.

Identifiers

PMID24708728
PMCPMC3983857
OpenAlexW2149508575

What OpenQuestion holds

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LicenceCC BY
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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.