Evidence mapPaperPMID 41736743Full record

ArticleERJ open research2026

Treatable traits in asthma associated with hospitalisations.

Marina Labor, Christer Janson, Andreas Palm, Andrei Malinovschi, Mathias Holm, Linda Ekerljung, Sven-Erik Dahlén, Lars Modig, Össur Ingi Emilsson

Abstract read
In one paragraph

Article in ERJ open research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Marina LaborClinical Department of Respiratory Medicine in Linköping, Linköping, Sweden.
Christer JansonDepartment of Medical Sciences: Respiratory, Allergy and Sleep Research, Uppsala University, Uppsala, Sweden.ORCID https://orcid.org/0000-0001-5093-6980
Andreas PalmDepartment of Medical Sciences: Respiratory, Allergy and Sleep Research, Uppsala University, Uppsala, Sweden.
Andrei MalinovschiDepartment of Medical Sciences: Clinical Physiology, Uppsala University, Uppsala, Sweden.ORCID https://orcid.org/0000-0002-4098-7765
Mathias HolmOccupational and Environmental Medicine, School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.ORCID https://orcid.org/0000-0002-9327-5139
Linda EkerljungDepartment of Internal Medicine and Clinical Nutrition, Krefting Research Centre, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Sven-Erik DahlénDepartment of Medicine, Karolinska Institute, Stockholm, Sweden.
Lars ModigDepartment of Epidemiology and Global Health, Umeå University, Umeå, Sweden.
Össur Ingi EmilssonDepartment of Medical Sciences: Respiratory, Allergy and Sleep Research, Uppsala University, Uppsala, Sweden.ORCID https://orcid.org/0000-0002-7199-8491

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Personalised medicine targets treatable traits with tailored therapy. Extrapulmonary traits, modifiable and related to asthma, were analysed for their association with hospitalisation rates. Methods: We conducted an observational study of a general population cohort in Sweden, based on the Respiratory Health in Northern Europe (RHINE) and Global Allergy and Asthma European Network (GA Results: Of 31 000 participants, 2341 had current asthma. Asthma patients exhibited a higher prevalence of airway comorbidities, such as rhinitis, allergic rhinitis and chronic rhinosinusitis, which were associated with increased hospitalisation rates. Obesity, insomnia and snoring were also significant risk factors for hospitalisation. A clear trend of increasing hospitalisations was observed with a higher number of treatable traits, especially in asthma patients aged <60 years, who had significantly increased odds of hospitalisation when presenting with three or more traits (adjusted OR 1.88, 95% CI 1.03-3.42). Chronic rhinosinusitis contributed the most to hospitalisations (10.7% population attributable fraction), followed by obesity (8.6% population attributable fraction). On average, each increase in number of treatable traits was associated with a 13% increased risk of hospitalisation (HR 1.13, 95% CI 1.02-1.25, p=0.02). Smoking and damp/mould exposure had a negligible contribution to the overall burden of hospitalisations with asthma. Conclusion: Recognising extrapulmonary traits like obesity and chronic rhinosinusitis is vital in asthma management, as they increase the risk of future hospitalisations.

Identifiers

PMID41736743
PMCPMC12926817

What Socratic holds

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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 Socratic graph.