Evidence map›Paper›PMID 42609814›Full record

ArticleERJ open research2026

Mapping airway smooth muscle remodelling

Michael J Hackmann, Alvenia Cairncross, Siobhain A Mulrennan, Rajesh Thomas, Dhaval Thakkar, John G Elliot, Graham Donovan, Robert A McLaughlin, Barry Cense, Alan L James and 1 more

Abstract read
PubMed Full text at PMC Publisher
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

11 authors.

Michael J HackmannSchool of Human Sciences, The University of Western Australia, Crawley, WA, Australia.ORCID https://orcid.org/0000-0003-3940-0397
Alvenia CairncrossSchool of Human Sciences, The University of Western Australia, Crawley, WA, Australia.
Siobhain A MulrennanDepartment of Respiratory Medicine, Sir Charles Gairdner Hospital, Nedlands, WA, Australia.
Rajesh ThomasDepartment of Respiratory Medicine, Sir Charles Gairdner Hospital, Nedlands, WA, Australia.
Dhaval ThakkarDepartment of Respiratory Medicine, Sir Charles Gairdner Hospital, Nedlands, WA, Australia.
John G ElliotSchool of Human Sciences, The University of Western Australia, Crawley, WA, Australia.
Graham DonovanDepartment of Mathematics, University of Auckland, Auckland, New Zealand.ORCID https://orcid.org/0000-0001-5903-5484
Robert A McLaughlinDepartment of Electrical, Electronic, and Computer Engineering, The University of Western Australia, Crawley, WA, Australia.
Barry CenseDepartment of Electrical, Electronic, and Computer Engineering, The University of Western Australia, Crawley, WA, Australia.
Alan L JamesDepartment of Pulmonary Physiology and Sleep Medicine, Sir Charles Gairdner Hospital, Nedlands, WA, Australia.
Peter B NobleSchool of Human Sciences, The University of Western Australia, Crawley, WA, Australia.ORCID https://orcid.org/0000-0001-9028-7751

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rationale: Airway smooth muscle (ASM) remodelling is a central feature of asthma pathology but cannot currently be measured Methods: Participants with (n=7) and without (n=13) doctor-diagnosed asthma undergoing bronchoscopy were recruited to obtain PS-OCT imaging data during the procedure. ASM area in large and small airways was measured and normalised for airway size (lumen perimeter). ASM remodelling was defined as ASM mass (ASM area/perimeter Measurements and main results: PS-OCT quantified ASM mass was greater in participants with asthma (median 0.0072, Q1-Q3 0.0064-0.0089) compared with the control group (0.0039, 0.0035-0.0049), (p=0.012). ASM remodelling was also more prevalent in the asthma group (44% of airways examined, 24-53%) than in the control group (0%, 0-4%) (p=0.007). ASM mass was heterogeneously distributed within airways, lungs and the sample population. Phenotypes of ASM remodelling (based on location in small or large airways) were apparent in the asthma group, compared with the control group where participants were all classified as non-remodelled. Conclusions: PS-OCT is a minimally invasive, accurate, efficient and effective modality to measure ASM mass. Visualising and quantifying ASM in patients with asthma provides an opportunity to make ASM remodelling a treatable trait and may facilitate the development of novel therapeutics for the treatment of asthma.

Identifiers

PMID42609814
PMCPMC13478870

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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.