Evidence map›Paper›PMID 34238263›Full record

ArticleBMC pulmonary medicine2021

Risk factors for severe adult-onset asthma: a multi-factor approach.

Sanna Toppila-Salmi, Riikka Lemmetyinen, Sebastien Chanoine, Jussi Karjalainen, Juha Pekkanen, Jean Bousquet, Valérie Siroux

Open access · goldAbstract read
In one paragraph

Article in BMC pulmonary medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

14 citing papers in PubMed, 22 citations in OpenAlex.

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  10. Risk Factors for Dementia in Patients With Atrial Fibrillation.The American journal of cardiology · 2022
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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

7 authors at 4 institutions in 3 countries.

Sanna Toppila-SalmiHaartman Institute, Medicum, University of Helsinki, Haartmaninkatu 3, PO Box 21, 00014, Helsinki, Finland. sanna.salmi@helsinki.fi.ORCID http://orcid.org/0000-0003-0890-6686
Riikka LemmetyinenHaartman Institute, Medicum, University of Helsinki, Haartmaninkatu 3, PO Box 21, 00014, Helsinki, Finland.
Sebastien ChanoineUGA/Inserm U 1209/CNRS UMR 5309 Joint Research Centre Team of Environmental Epidemiology Applied To Reproduction and Respiratory Health, Institute for Advanced Biosciences, Site Santé - Allée Des Alpes, 38700, La Tronche, France.
Jussi KarjalainenAllergy Centre, Tampere University Hospital, Teiskontie 35, PO Box 2000, 33521, Tampere, Finland.
Juha PekkanenDepartment of Public Health, University of Helsinki, Tukholmankatu 8 B, PO Box 20, 00014, Helsinki, Finland.
Jean BousquetHumboldt-Universität Zu Berlin, and Berlin Institute of Health, Comprehensive Allergy Center, Department of Dermatology and Allergy, Charité, Universitätsmedizin Berlin, Berlin, Germany.
Valérie SirouxUGA/Inserm U 1209/CNRS UMR 5309 Joint Research Centre Team of Environmental Epidemiology Applied To Reproduction and Respiratory Health, Institute for Advanced Biosciences, Site Santé - Allée Des Alpes, 38700, La Tronche, France.
University of Helsinki · FICentre National de la Recherche Scientifique · FRHumboldt-Universität zu Berlin · DETampere University of Applied Sciences · FI

Funding

State funding for university-level health research TYH2019322
6 · The paper itself

Abstract

backgroundThe aim was to identify risk factors for severe adult-onset asthma.

methodsWe used data from a population-based sample (Adult Asthma in Finland) of 1350 patients with adult-onset asthma (age range 31-93 years) from Finnish national registers. Severe asthma was defined as self-reported severe asthma and asthma symptoms causing much harm and regular impairment and ≥ 1 oral corticosteroid course/year or regular oral corticosteroids or waking up in the night due to asthma symptoms/wheezing ≥ a few times/month. Sixteen covariates covering several domains (personal characteristics, education, lifestyle, early-life factors, asthma characteristics and multiple morbidities) were selected based on the literature and were studied in association with severe asthma using logistic regressions.

resultsThe study population included 100 (7.4%) individuals with severe asthma. In a univariate analysis, severe asthma was associated with male sex, age, a low education level, no professional training, ever smoking, ≥ 2 siblings, ≥ 1 chronic comorbidity and non-steroidal anti-inflammatory drug (NSAID)-exacerbated respiratory disease (NERD) (p < 0.05), and trends for association (p < 0.2) were observed for severe childhood infection, the presence of chronic rhinosinusitis with nasal polyps, and being the 1st child. The 10 variables (being a 1st child was removed due to multicollinearity) were thus entered in a multivariate regression model, and severe asthma was significantly associated with male sex (OR [95% CI] = 1.96 [1.16-3.30]), ever smoking (1.98 [1.11-3.52]), chronic comorbidities (2.68 [1.35-5.31]), NERD (3.29 [1.75-6.19]), and ≥ 2 siblings (2.51 [1.17-5.41]). There was a dose-response effect of the total sum of these five factors on severe asthma (OR [95% CI] = 2.30 [1.81-2.93] for each one-unit increase in the score).

conclusionsMale sex, smoking, NERD, comorbidities, and ≥ 2 siblings were independent risk factors for self-reported severe asthma. The effects of these factors seem to be cumulative; each additional risk factor gradually increases the risk of severe asthma.

Indexed as

AdultAgedAged, 80 and overAge of OnsetAnti-Inflammatory Agents, Non-SteroidalAsthmaAsthma, Aspirin-InducedCase-Control StudiesChronic DiseaseComorbidityCross-Sectional StudiesFemaleFinlandHumansLogistic ModelsMaleAnti-Inflammatory Agents, Non-SteroidalAcetylsalicylic acidAllergyAsthmaEpidemiologySinusitis

Identifiers

PMID34238263
PMCPMC8268541
OpenAlexW3126871081

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.