Evidence map›Paper›PMID 41736726›Full record

ArticleERJ open research2026

Clinical relevance of CompEx Asthma and impact on disease trajectory: benralizumab effect.

Clare Bolton, Praveen Akuthota, Njira Lugogo, Peter Barker, Thomas Bengtsson, Stefan Peterson, Salman Siddiqui, Carla A Da Silva

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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Clare BoltonEarly R&D, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK.
Praveen AkuthotaUniversity of California San Diego, La Jolla, CA, USA.
Njira LugogoDivision of Pulmonary and Critical Care, Department of Medicine, University of Michigan, Ann Arbor, MI, USA.
Peter BarkerResearch and Development, AstraZeneca, Gaithersburg, MD, USA.
Thomas BengtssonStatMind Statistical and Mathematical Modelling, Innovation and Design AB, Lund, Sweden.
Stefan PetersonStatMind Statistical and Mathematical Modelling, Innovation and Design AB, Lund, Sweden.
Salman SiddiquiNational Heart and Lung Institute, Imperial College London, London, UK.
Carla A Da SilvaEarly Respiratory and Immunology Clinical Development, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Severe exacerbations (SevEx), the typical endpoint when evaluating asthma therapies, may provide incomplete assessment, as it relies on patient perception of disease and physician action. CompEx, a composite outcome that includes SevEx and acute worsening events (AWEs) (evaluated from e-diary entries using deterioration in peak expiratory flow (PEF), reliever medication use and worsening asthma symptoms), should provide more objective assessment. The correlation of CompEx event subtypes - SevEx only, AWE only or mixed SevEx/AWE - with disease trajectory and effect of benralizumab in the SIROCCO and CALIMA trials were evaluated. Methods: This was a Results: 953 patients were included (benralizumab, n=465; placebo, n=488). Greater increases in asthma symptoms and reliever medication use, declines in PEF and slower return to baseline were seen around AWE and mixed SevEx/AWE than SevEx, according to treatment utilisation. Overall, patients without a CompEx event had the best FEV Conclusions: CompEx includes SevEx and AWEs, both of which are clinically relevant events, providing a more comprehensive assessment of asthma worsening than SevEx alone. AWEs are particularly important contributors to poor asthma outcomes and should not be ignored when evaluating treatments.

Identifiers

PMID41736726
PMCPMC12926827

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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.