Evidence map›Paper›PMID 42338676›Full record

ArticleERJ open research2026

Measuring the effect of azithromycin in chronic respiratory disease using continuous cough monitoring: an open-label exploratory trial.

Dominic L Sykes, Kayleigh Brindle, Syed Kazmi, Jennifer Nielsen, Simon P Hart, Michael Clarkson, John Gallagher, Warren Jackson, Elisabeth Kirton, Matthew Rudd and 5 more

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

15 authors.

Dominic L SykesRespiratory Research Group, Hull York Medical School, Hull, UK.ORCID https://orcid.org/0000-0002-0925-7772
Kayleigh BrindleRespiratory Research Group, Hull York Medical School, Hull, UK.ORCID https://orcid.org/0000-0001-8705-4703
Syed KazmiRespiratory Research Group, Hull York Medical School, Hull, UK.
Jennifer NielsenRespiratory Research Group, Hull York Medical School, Hull, UK.
Simon P HartRespiratory Research Group, Hull York Medical School, Hull, UK.ORCID https://orcid.org/0000-0003-4606-9559
Michael ClarksonRespiratory Research Group, Hull York Medical School, Hull, UK.
John GallagherHull University Teaching Hospitals NHS Trust, Hull, UK.
Warren JacksonHull University Teaching Hospitals NHS Trust, Hull, UK.
Elisabeth KirtonHull University Teaching Hospitals NHS Trust, Hull, UK.
Matthew RuddHyfe Inc., Wilmington, DE, USA.
Lola JoverHyfe Inc., Wilmington, DE, USA.
Peter SmallHyfe Inc., Wilmington, DE, USA.
Mindaugas GalvosasHyfe Inc., Wilmington, DE, USA.
Alyn H MoriceRespiratory Research Group, Hull York Medical School, Hull, UK.ORCID https://orcid.org/0000-0002-6135-9610
Michael G CrooksRespiratory Research Group, Hull York Medical School, Hull, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Azithromycin is beneficial in a multitude of respiratory diseases; however, its effects on both subjective and objective measures of cough have been less extensively studied. Traditional 24-h cough counting assessments are highly variable, potentially underestimating the antitussive effect of therapeutics. Methods: Patients with asthma, COPD, interstitial lung disease and refractory chronic cough who reported cough as the predominant symptom were continuously monitored using a smart watch equipped with Hyfe cough detection software. Patients were monitored 1 week prior to and 4 weeks after commencing azithromycin. Participants were also assessed using patient-reported outcome measures and a 4-week daily cough visual analogue scale diary. Cough data were analysed using the novel cough metrics "relief of cough" and "cough density". Results: 30 participants with a broad range of respiratory diseases were recruited; 80% (n=24) had satisfactory usage of the cough monitor (>12 h·day Conclusion: This is the first study to assess the antitussive effect of a drug using continuous cough monitoring. Further trials should use this method of cough assessment to obtain a more granular assessment of cough in airways diseases.

Identifiers

PMID42338676
PMCPMC13284820

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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.