Evidence map›Paper›PMID 41158491›Full record

ArticleERJ open research2025

COMPAIR: a comparison of directly supervised clinic

Ashish Pradhan, Jacqui Pollington, Dinesh Saralaya, Matthew J Martin, Rod Hughes, Niki Arya, Nick Sanders, Hoda Sharifian, Katharine Locke, Matt Bonam and 1 more

Abstract read
In one paragraph

Article in ERJ open research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Ashish PradhanThe Nottingham Asthma Centre, Nottingham City Hospital NHS Foundation Trust, Nottingham, UK.
Jacqui PollingtonBreathingSpace, Rotherham NHS Foundation Trust, Rotherham, UK.
Dinesh SaralayaBradford Institute for Health Research, Bradford Teaching Hospitals, Bradford, UK.
Matthew J MartinThe Nottingham Asthma Centre, Nottingham City Hospital NHS Foundation Trust, Nottingham, UK.
Rod HughesEarly Respiratory and Immunology Clinical Development, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK.
Niki AryaLate Stage Development, Respiratory and Immunology, Biometrics, BioPharmaceuticals R&D, AstraZeneca, Durham, NC, USA.
Nick SandersLate Stage Development, Respiratory and Immunology, Biometrics, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK.
Hoda SharifianDigital Health, Gothenburg, Sweden.ORCID https://orcid.org/0009-0008-8722-7510
Katharine LockeEvinova, Macclesfield, UK.
Matt BonamEvinova, Macclesfield, UK.
Tim W HarrisonRespiratory and Immunology, Global Medical Affairs, AstraZeneca, Cambridge, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Our objectives were to compare directly supervised in clinic spirometry (DSCS) with virtually supervised at home spirometry (VSHS), assess the utility of artificial intelligence (AI) over-reading and evaluate patients' views of VSHS. Methods: A multicentre, prospective, 8-day study was conducted in adult patients with physician-diagnosed asthma or COPD from UK primary/secondary care. Spirometry (forced expiratory volume in 1 s (FEV Results: 68 participants were included (asthma: n=47; COPD: n=21). There was excellent concordance between HCP-over-read DSCS (Day 1) and VSHS (Day 2) as indicated by intraclass correlation coefficients for FEV Conclusions: VSHS with the NuvoAir spirometer and ArtiQ.QC over-reading offers reliable and consistent measures of lung function for research purposes and potential clinical application in a population of patients with asthma or COPD. VSHS coupled with AI over-read allows spirometry to be performed at a more convenient location for patients while maintaining high-quality results, comparable to clinic-based spirometry.

Identifiers

PMID41158491
PMCPMC12557433

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Registered trials

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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.