Evidence map›Paper›PMID 41089042›Full record

ArticleClinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology2026

Unsupervised Machine Learning Identifies Asthma Phenotypes in the Population-Based West Sweden Asthma Study.

Muwada Bashir Awad Bashir, Daniil Lisik, Saliha Selin Ozuygur Ermis, Rani Basna, Reshed Abohalaka, Selin Ercan, Helena Backman, Teet Pullerits, Roxana Mincheva, Göran Wennergren and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

15 authors.

Muwada Bashir Awad BashirKrefting Research Centre, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Daniil LisikKrefting Research Centre, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.ORCID https://orcid.org/0000-0002-0220-5961
Saliha Selin Ozuygur ErmisKrefting Research Centre, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.ORCID https://orcid.org/0000-0003-3507-773X
Rani BasnaDivision of Geriatric Medicine, Department of Clinical Sciences in Malmö, Lund University, Malmö, Sweden.
Reshed AbohalakaKrefting Research Centre, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.ORCID https://orcid.org/0000-0003-2803-2912
Selin ErcanKrefting Research Centre, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Helena BackmanDepartment of Public Health and Clinical Medicine/the OLIN Unit, Umeå University, Umeå, Sweden.ORCID https://orcid.org/0000-0002-0553-8067
Teet PulleritsKrefting Research Centre, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Roxana MinchevaKrefting Research Centre, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Göran WennergrenDepartment of Pediatrics, University of Gothenburg, Gothenburg, Sweden.ORCID https://orcid.org/0000-0002-7010-7191
Madeleine RådingerKrefting Research Centre, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.ORCID https://orcid.org/0000-0002-0652-7378
Jan LötvallKrefting Research Centre, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Linda EkerljungKrefting Research Centre, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Hannu KankaanrantaKrefting Research Centre, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Bright I NwaruKrefting Research Centre, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.

Funding

Astma- och Allergiförbundet F2021-0041Hjärt-Lungfonden 20210284Hjärt-Lungfonden 244803506NordForskthe Swedish state under the agreement between the Swedish Government and the county councils, Västra Götaland ALFGBG-1005694the Swedish state under the agreement between the Swedish Government and the county councils, Västra Götaland ALFGBG-966075VBG Group Herman Krefting Foundation for Asthma and Allergy ResearchVetenskapsrådet 2019-00247
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

adultsasthmacluster analysisdeep learningphenotypespopulation‐based studySwedenunsupervised clustering

Identifiers

PMID41089042
PMCPMC12879267

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.