Evidence map›Paper›PMID 41918952›Full record

ArticleERJ open research2026

Predicting clinical exacerbations using respiratory oscillometry during home telemonitoring of patients taking medium-/high-dose asthma treatment.

Cindy Thamrin, Jacqueline Huvanandana, Kieran Patel, Claude S Farah, Helen K Reddel, Tanya Badal, Alice M Cottee, Matthew J Peters, Raffaele L Dellacà, Gregory G King and 1 more

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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.

Cindy ThamrinWoolcock Institute of Medical Research, Macquarie University, Macquarie Park, NSW, Australia.ORCID https://orcid.org/0000-0003-3284-3558
Jacqueline HuvanandanaWoolcock Institute of Medical Research, Macquarie University, Macquarie Park, NSW, Australia.
Kieran PatelWoolcock Institute of Medical Research, Macquarie University, Macquarie Park, NSW, Australia.
Claude S FarahFaculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.ORCID https://orcid.org/0000-0003-2489-227X
Helen K ReddelWoolcock Institute of Medical Research, Macquarie University, Macquarie Park, NSW, Australia.ORCID https://orcid.org/0000-0002-6695-6350
Tanya BadalWoolcock Institute of Medical Research, Macquarie University, Macquarie Park, NSW, Australia.
Alice M CotteeWoolcock Institute of Medical Research, Macquarie University, Macquarie Park, NSW, Australia.ORCID https://orcid.org/0000-0003-1755-0087
Matthew J PetersDepartment of Thoracic Medicine, Concord Repatriation General Hospital, Concord, NSW, Australia.
Raffaele L DellacàDipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, Italy.ORCID https://orcid.org/0000-0002-3672-4591
Gregory G KingWoolcock Institute of Medical Research, Macquarie University, Macquarie Park, NSW, Australia.
Alessandro GobbiRestech Srl, Milan, Italy.ORCID https://orcid.org/0000-0001-7603-9567

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rationale: Strategies for asthma management need better tools to identify risk of exacerbations. In this prospective observational study, we investigated day-to-day variability of lung mechanics, measured using home telemonitored oscillometry, by examining relationships between current symptom control and future risk of exacerbation in asthma patients taking medium-/high-dose treatment, regardless of their level of asthma control. Methods: Participants underwent ≥24 weeks of telemonitoring during stable or stepped-down treatment, with once-daily self-recording of symptoms, and oscillometry (Resmon Pro Diary, Restech Srl, Milan, Italy). The 5-item Asthma Control Questionnaire and exacerbations were captured Results: Data from 30 participants were analysed (19 female; mean±sd age 59±13 years, body mass index 30.1±6.6 kg·m Conclusion: This proof-of-concept study shows that daily telemonitoring of oscillometry is useful for assessing current symptom control and future risk of exacerbations in asthma patients taking medium-/high-dose treatment.

Identifiers

PMID41918952
PMCPMC13034070

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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.