Evidence map›Paper›PMID 42624803›Full record

SynthesisThe Lancet. Respiratory medicine2026

Symptom burden to characterise, predict, and prevent asthma attacks: a patient-level meta-analysis of randomised trials and translational prospective studies.

Simon Couillard, Fleur L Meulmeester, Pascal Charland, Samuel Lemaire-Paquette, Imran Howell, Carlos Celis-Preciado, Philippe Lachapelle, Liam G Heaney, Peter Bradding, Samuel Mailhot-Larouche and 20 more

Abstract readMeta-AnalysisReview
In one paragraph

Synthesis in The Lancet. Respiratory medicine, 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

30 authors.

Simon CouillardFaculté de médecine et des sciences de la santé, Université de Sherbrooke, Sherbrooke, QC, Canada; Department of Biomedical Data Sciences, Caecilia Institute for Population Health and Data Sciences, Leiden University Medical Center, Leiden, Netherlands; Respiratory Medicine Unit and Oxford Respiratory NIHR BRC, Nuffield Department of Medicine, University of Oxford, Oxford, UK. Electronic address: s.couillard@usherbrooke.ca.
Fleur L MeulmeesterDepartment of Biomedical Data Sciences, Caecilia Institute for Population Health and Data Sciences, Leiden University Medical Center, Leiden, Netherlands.
Pascal CharlandFaculté de médecine et des sciences de la santé, Université de Sherbrooke, Sherbrooke, QC, Canada.
Samuel Lemaire-PaquetteCentre de recherche du CHUS, CIUSSS de l'Estrie - CHUS, Sherbrooke, QC, Canada.
Imran HowellRespiratory Medicine Unit and Oxford Respiratory NIHR BRC, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
Carlos Celis-PreciadoFaculté de médecine et des sciences de la santé, Université de Sherbrooke, Sherbrooke, QC, Canada; Pulmonary Unit, Internal Medicine Department, Hospital Universitario San Ignacio, Bogota, Colombia.
Philippe LachapelleFaculté de médecine et des sciences de la santé, Université de Sherbrooke, Sherbrooke, QC, Canada.
Liam G HeaneyCentre for Experimental Medicine, Queen's University Belfast, Belfast, UK.
Peter BraddingDepartment of Respiratory Sciences, Institute for Lung Health, NIHR Respiratory BRC, University of Leicester, Leicester, UK.
Samuel Mailhot-LaroucheFaculté de médecine et des sciences de la santé, Université de Sherbrooke, Sherbrooke, QC, Canada.
Sanjay RamakrishnanDepartment of Respiratory Medicine, Sir Charles Gairdner Hospital, Perth, WA, Australia; Institute for Respiratory Health and UWA Medical School, University of Western Australia, Perth, WA, Australia.
Michael E WechslerNational Jewish Health, Denver, CO, USA.
Guy BrusselleDepartment of Respiratory Medicine, Ghent University Hospital, Ghent, Belgium.
Sarah E DiverDepartment of Respiratory Sciences, Institute for Lung Health, NIHR Respiratory BRC, University of Leicester, Leicester, UK.
Christopher E BrightlingDepartment of Respiratory Sciences, Institute for Lung Health, NIHR Respiratory BRC, University of Leicester, Leicester, UK.
Mario CastroPulmonary, Critical Care and Sleep Medicine, University of Kansas Medical Center, Kansas City, KS, USA.
Nicola A HananiaBaylor College of Medicine, Houston, TX, USA.
David J JacksonGuy's Severe Asthma Centre, School of Immunology & Microbial Sciences, Guy's Hospital, King's College London, London, UK.
Neil MartinDepartment of Respiratory Sciences, Institute for Lung Health, NIHR Respiratory BRC, University of Leicester, Leicester, UK; AstraZeneca, Cambridge, UK.
Alison MooreGlaxoSmithKline, London, UK.
Peter HowarthGlaxoSmithKline, London, UK.
Megan E HardinSanofi, Cambridge, MA, USA.
Rebecca GallRegeneron Pharmaceuticals, Tarrytown, NY, USA.
Cecile T J HolwegAbbVie, North Chicago, IL, USA; Genentech, South San Francisco, CA, USA.
Vennila DharmanNovartis Healthcare Private, Hyderabad, India.
Richard W BeasleyMedical Research Institute of New Zealand, Wellington, New Zealand.
Jacob K SontDepartment of Biomedical Data Sciences, Caecilia Institute for Population Health and Data Sciences, Leiden University Medical Center, Leiden, Netherlands.
Ewout W SteyerbergDepartment of Biomedical Data Sciences, Caecilia Institute for Population Health and Data Sciences, Leiden University Medical Center, Leiden, Netherlands; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, Netherlands.
Ian D PavordRespiratory Medicine Unit and Oxford Respiratory NIHR BRC, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
Oxford Asthma Attack Risk Scale Meta-analysis (ORACLE2) Consortium

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAsthma symptoms often guide disease assessment and management, but their prognostic and predictive value is unclear. We evaluated the extent to which symptom burden measured by the 5-item Asthma Control Questionnaire (ACQ-5) predicts future severe asthma attacks and response to anti-inflammatory therapy.

methodsWe conducted an individual participant data meta-analysis of selected randomised controlled trials and translational observational cohort studies of asthma of varying severity. Primary analyses used the ORACLE2 patient-level meta-analysis (n=6513) of control-group participants from 22 randomised controlled trials. Additional datasets from studies assessing type 2 targeting anti-inflammatory therapies were included on the basis of availability of data, to provide insight into the association between ACQ-5 and sputum cell counts or mediator data. Additional datasets were the DREAM intravenous mepolizumab group (n=461); a cross-sectional severe asthma cohort (SA-OT, n=74); and two acute asthma cohorts (PRISMA, biologic-naive, n=53; BOOST, anti-interleukin-5-treated, n=60). Associations between baseline ACQ-5 scores and clinical, physiological, and inflammatory profiles, asthma attack risk, and anti-inflammatory treatment responses were examined.

findingsAcross five datasets encompassing 7161 distinct participants, asthma severity, lung function, inflammatory profiles, comorbidities, and ACQ-5 results varied widely. The proportion of patients with high symptom burden (ACQ-5 score >1·5) ranged from 39% to 100%. Baseline ACQ-5 showed no consistent cross-sectional association with other clinical, physiological, or inflammatory asthma features. Each 0·5-point increase in baseline ACQ-5 score was associated with a modest increase in future asthma attack risk (adjusted rate ratio [aRR] 1·09 [95% CI 1·06-1·12]; Δ R

interpretationIn a large, individual patient-level meta-analysis of randomised controlled trials and translational prospective observational cohort studies, we observed little alignment of symptom burden with other clinical, physiological, or biological features of asthma and modest prognostic value for severe attacks. Conversely, type 2 biomarkers more reliably identified patients at high risk and those likely to respond to treatment. Symptoms might require contextual interpretation to guide anti-inflammatory escalation in asthma.

fundingNational Institute for Health and Care Research, Association Pulmonaire du Québec, Fonds de Recherche du Québec-Santé, and The Academy of Medical Sciences.

Indexed as

AsthmaAdultAnti-Asthmatic AgentsFemaleHumansMaleMiddle AgedPredictive Value of TestsPrognosisProspective StudiesRandomized Controlled Trials as TopicSeverity of Illness IndexSurveys and QuestionnairesSymptom BurdenAnti-Asthmatic Agents

Identifiers

PMID42624803
PMCPMC13623818

What OpenQuestion holds

Textmetadata
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.