Evidence map›Paper›PMID 41357339›Full record

ArticleEClinicalMedicine2025

An anti-inflammatory reliever algorithm approach to asthma management in adults: an open-label, single-arm trial.

Pepa Bruce, Claire Houghton, Lee Hatter, Ciléin Kearns, Mark Holliday, Augustus J Anderson, Melissa Perry, Craig Boyd, Allie Eathorne, John Martindale and 8 more

Abstract read
In one paragraph

Article in EClinicalMedicine, 2025. 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

18 authors.

Pepa BruceMedical Research Institute of New Zealand, Wellington, New Zealand.
Claire HoughtonMedical Research Institute of New Zealand, Wellington, New Zealand.
Lee HatterMedical Research Institute of New Zealand, Wellington, New Zealand.
Ciléin KearnsMedical Research Institute of New Zealand, Wellington, New Zealand.
Mark HollidayMedical Research Institute of New Zealand, Wellington, New Zealand.
Augustus J AndersonMedical Research Institute of New Zealand, Wellington, New Zealand.
Melissa PerryMedical Research Institute of New Zealand, Wellington, New Zealand.
Craig BoydMedical Research Institute of New Zealand, Wellington, New Zealand.
Allie EathorneMedical Research Institute of New Zealand, Wellington, New Zealand.
John MartindaleMedical Research Institute of New Zealand, Wellington, New Zealand.
Jenny SparksMedical Research Institute of New Zealand, Wellington, New Zealand.
Alex SempriniMedical Research Institute of New Zealand, Wellington, New Zealand.
Ian PavordNuffield Department of Medicine and Oxford Respiratory NIHR BRC, University of Oxford, Oxford, UK.
Tim HarrisonUniversity of Nottingham, Nottingham, UK.
Alberto PapiUniversity of Ferrara, Ferrara, Italy.
Rob HorneUniversity College London, London, UK.
Mark WeatherallDepartment of Medicine, University of Otago, Wellington, New Zealand.
Richard BeasleyMedical Research Institute of New Zealand, Wellington, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The stepwise approach to asthma management is a key feature of guidelines, yet knowledge of its implementation in clinical practice is limited. Our objective was to evaluate the implementation of an anti-inflammatory reliever (AIR) stepwise algorithm. Methods: Between December 2020 and July 2022, we conducted a 52-week, open-label, single-arm trial of 100 adults aged 18-75 with asthma, with 25 patients each on Global Initiative for Asthma 2018 treatment steps 1, 2, 3 and 4 at baseline. Patients were assigned to an AIR algorithm, with budesonide-formoterol 200/6 μg, one actuation as-needed (Step 1), one actuation twice-daily plus as-needed (Step 2), or two actuations twice-daily plus one as-needed (Step 3), depending on baseline treatment. Treatment steps were adjusted in response to participant reported reliever use and asthma attacks, according to the AIR algorithm. The primary outcome was Treatment Satisfaction Questionnaire for Medication (TSQM-II) Global Satisfaction score. Secondary outcomes assessed the TSQM-II Global Satisfaction minimal clinically important difference (MCID), efficacy, safety, patterns of medication use, and patient flow through treatment steps. The trial was registered with the Australian New Zealand Clinical Trials Registry (ACTRN12620001010987). Findings: 100 participants were assigned an AIR treatment step, 68 were female and the mean age was 48 (range 19-75). There was a significant increase in TSQM-II Global Satisfaction at week 52 compared with baseline, mean (SD) 84.3 (18.6) compared to 78.1 (14.7); difference 6.3 (95% CI 1.7-10.9), p = 0.007. The estimated MCID for this variable was 3.0 (95% CI 0.2-5.7). There was a transition to lower treatment steps, with 60% (56/94), 31% (29/94), and 10% (9/94) on Steps 1, 2, and 3 at week 52 compared with 25% (25/100), 50% (50/100), and 25% (25/100) at baseline, respectively. There was a reduction in Asthma Control Questionnaire-5 at week 52 compared with baseline, mean (SD) 0.8 (0.7) compared to 1.0 (0.8); difference -0.22 (95% CI -0.39 to -0.05). There were four serious adverse events unrelated to treatment, including one death due to an acute cardiac event. Interpretation: The adoption of the AIR Algorithm in adults with asthma was associated with enhanced patient satisfaction and asthma control. Funding: Medical Research Institute of New Zealand (Independent Research Organisation funding from the Health Research Council of New Zealand [IRO grant 18/002]) and AstraZeneca.

Indexed as

Anti-Inflammatory reliever therapyAsthmaClinical trialPatient satisfactionStepwise algorithm

Identifiers

PMID41357339
PMCPMC12675026

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.