Evidence map›Paper›PMID 40215991›Full record

SynthesisThe Lancet. Respiratory medicine2025

Inflammatory and clinical risk factors for asthma attacks (ORACLE2): a patient-level meta-analysis of control groups of 22 randomised trials.

Fleur L Meulmeester, Samuel Mailhot-Larouche, Carlos Celis-Preciado, Samuel Lemaire-Paquette, Sanjay Ramakrishnan, Michael E Wechsler, Guy Brusselle, Jonathan Corren, Jo Hardy, Sarah E Diver and 17 more

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in The Lancet. Respiratory medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 2 pooled it
–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

44 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Review
  6. Article
  7. Review
  8. From mild-to-moderate to severe asthma: risk factors and patient profiles from the NORDSTAR cohort.American journal of respiratory and critical care medicine · 2026
    Observational
  9. Review
  10. Article
  11. Review
  12. Mechanisms and therapeutic strategies of asthma: from bench to bedside.Signal transduction and targeted therapy · 2026
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Phenotyping treatment-naive uncontrolled asthma in adults: A primary care framework.The journal of allergy and clinical immunology. Global · 2026
    Article
  18. Article
  19. Review
  20. 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

27 authors.

Fleur L MeulmeesterDepartment of Biomedical Data Sciences, Leiden University Medical Center, Leiden, Netherlands.
Samuel Mailhot-LaroucheFaculté de médecine et des sciences de la santé, Université de Sherbrooke, Sherbrooke, QC, Canada.
Carlos Celis-PreciadoFaculté 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.
Sanjay RamakrishnanInstitute for Respiratory Health, 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.
Jonathan CorrenUCLA, Los Angeles, CA, USA.
Jo HardyNorth Bristol NHS Trust, Bristol, UK.
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 & Sleep Medicine, University of Kansas, Kansas City, KS, USA.
Nicola A HananiaBaylor College of Medicine, Houston, TX, USA.
David J JacksonGuy's Severe Asthma Centre, Guy's and St Thomas' Hospitals, London, UK.
Neil MartinDepartment of Respiratory Sciences, Institute for Lung Health, NIHR Respiratory BRC, University of Leicester, Leicester, UK; AstraZeneca, Cambridge, UK.
Annette LaugerudAstraZeneca, Cambridge, UK.
Emilio SantoroGlaxoSmithKline, London, UK.
Chris ComptonGlaxoSmithKline, London, UK.
Megan E HardinSanofi, Cambridge, MA, USA.
Cecile T J HolwegGenentech, San Francisco, CA, USA.
Allu SubhashiniNovartis Healthcare Private, Hyderabad, India.
Timothy S C HinksRespiratory Medicine Unit and Oxford Respiratory NIHR BRC, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
Richard W BeasleyMedical Research Institute of New Zealand, Wellington, New Zealand.
Jacob K SontDepartment of Biomedical Data Sciences, Leiden University Medical Center, Leiden, Netherlands.
Ewout W SteyerbergDepartment of Biomedical Data Sciences, Leiden University Medical Center, Leiden, Netherlands; Julius Center, 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.
Simon CouillardDepartment of Biomedical Data Sciences, Leiden University Medical Center, Leiden, Netherlands; Faculté de médecine et des sciences de la santé, Université de Sherbrooke, Sherbrooke, QC, Canada; Respiratory Medicine Unit and Oxford Respiratory NIHR BRC, Nuffield Department of Medicine, University of Oxford, Oxford, UK. Electronic address: s.couillard@usherbrooke.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundClinical risk factors for severe asthma attacks have been identified, but their incremental prognostic values are unclear. Additionally, the incremental contribution of type 2 inflammation, a common, treatable process, is undetermined. We aimed to quantify the prognostic value of baseline characteristics and type 2 inflammatory biomarkers, specifically blood eosinophil count and fractional exhaled nitric oxide (FeNO), to predict asthma attacks.

methodsIn this systematic review and meta-analysis of randomised controlled trials (RCTs), Oxford Asthma Attack Risk Scale 2 (ORACLE2), we searched MEDLINE from Jan 1, 1993, to April 1, 2021, for trials investigating fixed treatment regimen effects on asthma attack rates for at least 6 months with baseline blood eosinophil count and FeNO. Eligible participants were aged 12 years or older with asthma (any severity) who had been randomly assigned to the control group of an RCT. Relevant trials were manually retrieved and reviewed by two independent reviewers (SC and IDP). Disagreements were discussed with five reviewers. Individual patient data (IPD) for meta-analysis were requested from study authors. We investigated the rate of severe asthma attacks (≥3 days of systemic corticosteroids) for at least 6 months and prognostic effects of baseline blood eosinophil count and FeNO in control group participants. Rate ratios (RRs) with 95% CIs were derived for annualised asthma attack rates from negative binomial models adjusted for key variables, including blood eosinophil count and FeNO, and interactions between these type 2 inflammatory biomarkers were explored. Certainty of evidence was assessed using GRADE. The heterogeneity of the included studies and potential for ecological bias were quantified by the concordance statistic (C-statistic). This study was registered with PROSPERO, CRD42021245337.

findingsWe identified 976 potentially eligible studies. After automated screening, we manually reviewed 219 full-text articles. Of these, 19 publications comprising 23 RCTs were eligible. 6513 participants (4140 [64%] female; 2370 [36%] male; three missing) spanning 22 RCTs were included for data analysis. 5972 (92%) of 6513 patients had moderate-to-severe asthma. 4615 asthma attacks occurred during 5482 person-years of follow-up (annualised rate 0·84 per person-year). Higher blood eosinophil count or FeNO was linked to higher asthma attack risk (per 10-fold increase, RR 1·48 [95% CI 1·30-1·68] for blood eosinophil count and 1·44 [1·26-1·65] for FeNO; high-certainty evidence). Other prognostic factors were attack history (yes vs no, RR 1·94 [1·61-2·32]); disease severity (severe vs moderate, RR 1·57 [1·22-2·03]); FEV

interpretationBlood eosinophil count, FeNO, asthma attack history, disease severity, low lung function (low FEV

fundingNational Institute of Health and Care Research Oxford Biomedical Research Centre; Association pulmonaire du Québec; Fonds de recherche du Québec-Santé; Québec Air-Intersectorialité-Respiratoire-Son network; Stichting Astma Bestrijding; Leiden University Fund; and Academy of Medical Sciences.

Indexed as

AsthmaInflammationAdrenal Cortex HormonesAdultBiomarkersEosinophilsFemaleFractional Exhaled Nitric Oxide TestingHumansLeukocyte CountMaleNitric OxidePrognosisRandomized Controlled Trials as TopicRisk FactorsSeverity of Illness IndexAdrenal Cortex HormonesBiomarkersNitric Oxide

Identifiers

PMID40215991
PMCPMC12117016

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.