Evidence map›Paper›PMID 41212157›Full record

ArticleAllergy2026

Cluster Analysis to Identify Distinct Asthma Phenotypes in the ATLANTIS Cohort.

Pauline J M Kuks, Tatiana Karp, Jorine E Hartman, Monica Kraft, Salman Siddiqui, Leonardo M Fabbri, Bianca Beghé, Klaus F Rabe, Alberto Papi, Christopher E Brightling and 9 more

Abstract read
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In one paragraph

Article in Allergy, 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
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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

19 authors.

Pauline J M KuksDepartment of Pulmonary Diseases, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.ORCID 0009-0005-0220-8985
Tatiana KarpDepartment of Pulmonary Diseases, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.ORCID 0009-0003-6435-4545
Jorine E HartmanDepartment of Pulmonary Diseases, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.ORCID 0000-0001-8765-9673
Monica KraftSamuel Bronfman Department of Medicine, Icahn School of Medicine, Mount Sinai Medical Center, New York, New York, USA.
Salman SiddiquiNational Heart and Lung Institute, Imperial College London, London, UK.ORCID 0000-0003-3770-7870
Leonardo M FabbriDepartment of Morphology, Surgery and Experimental Medicine, Section of Respiratory Medicine, University of Ferrara, Ferrara, Italy.
Bianca BeghéDepartment of Respiratory Diseases, University of Modena and Reggio Emilia, Modena, Italy.
Klaus F RabeDepartment of Medicine, Christian Albrechts University Kiel, Kiel, Germany.ORCID 0000-0002-7020-1401
Alberto PapiSection of Respiratory Medicine, Department of Translational Medicine, University of Ferrara, Ferrara, Italy.ORCID 0000-0002-6924-4500
Christopher E BrightlingThe Institute for Lung Health, NIHR Leicester Biomedical Research Centre, University of Leicester, Leicester, UK.
Dave SinghCentre for Respiratory Medicine and Allergy, University of Manchester, Manchester University NHS Foundation Trust, Manchester, UK.
Xingnan LiSamuel Bronfman Department of Medicine, Icahn School of Medicine, Mount Sinai Medical Center, New York, New York, USA.
Janwillem W H KocksDepartment of Pulmonary Diseases, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.
Ulrica Scaffidi-ArgentinaGlobal Medical Affairs, Chiesi Farmaceutici S.p.A., Parma, Italy.
Huib A M KerstjensDepartment of Pulmonary Diseases, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.
Irene H HeijinkDepartment of Pulmonary Diseases, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.ORCID 0000-0002-1260-8932
Simon D PouwelsDepartment of Pulmonary Diseases, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.ORCID 0000-0001-7345-8061
Dirk-Jan SlebosDepartment of Pulmonary Diseases, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.
Maarten van den BergeDepartment of Pulmonary Diseases, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrevious cluster analyses have identified subgroups of asthma. However, only a few studies included parameters of small airways dysfunction (SAD), or gene expression profiles reflecting underlying disease mechanisms. We aimed to identify clinically distinct asthma phenotypes, beyond GINA asthma severity, using available data from the ATLANTIS study which focused on identifying the prevalence of SAD in asthma and its role in asthma control, exacerbations and quality of life.

methodsThe ATLANTIS study included 773 asthma patients (mean age 44 years, 58% female, 76% never-smoker, GINA 1-5). Subjects were extensively characterized, including symptoms, parameters of large and small airways dysfunction, blood and sputum differential cell counts, and genome-wide gene expression profiling from nasal brushes. Clusters were generated using the Self-Organizing Map-Ward's method.

resultsFour distinct clusters were identified: A (N = 62; 8%) characterized by the most frequent exacerbations, lower post-bronchodilator FEV

conclusionsFour distinct clusters were identified, where the presence of SAD was associated with high type-2 inflammation, lower lung function, and frequent exacerbations. SAD may be a marker of poorly controlled asthma and should be considered as an important clinical trait.

Indexed as

AsthmaAdultCluster AnalysisCohort StudiesFemaleGene Expression ProfilingHumansMaleMiddle AgedPhenotypeRespiratory Function Testsairway inflammationasthma phenotypescluster analysisgene expression profilingsmall airways dysfunction

Identifiers

PMID41212157
PMCPMC12773654

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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.