Evidence map›Paper›PMID 38296921›Full record

ArticleAdvances in therapy2024

Effect of Individual Patient Characteristics and Treatment Choices on Reliever Medication Use in Moderate-Severe Asthma: A Poisson Analysis of Randomised Clinical Trials.

Sven C van Dijkman, Arzu Yorgancıoğlu, Ian Pavord, Guy Brusselle, Paulo M Pitrez, Sean Oosterholt, Sourabh Fumali, Anurita Majumdar, Oscar Della Pasqua

Open access · hybridAbstract read
In one paragraph

Article in Advances in therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.6field-weighted citation impact, top 18% of its field
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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
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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

9 authors at 7 institutions in 5 countries.

Sven C van DijkmanClinical Pharmacology Modelling and Simulation, GSK, London, UK.
Arzu YorgancıoğluCelal Bayar University, Manisa, Turkey.
Ian PavordNuffield Department of Medicine, University of Oxford, Oxford, UK.
Guy BrusselleGhent University Hospital, Ghent, Belgium.
Paulo M PitrezHospital Santa Casa de Porto Alegre, Porto Alegre, Brazil.
Sean OosterholtClinical Pharmacology Modelling and Simulation, GSK, London, UK.
Sourabh FumaliGSK, Global Classic and Established Medicines, Worli, India.
Anurita MajumdarGSK, Global Classic and Established Medicines, Singapore, Singapore.
Oscar Della PasquaClinical Pharmacology & Therapeutics Group, University College London, BMA House, Tavistock Square, London, WC1H 9JP, UK. odp72514@gsk.com.ORCID 0000-0002-6211-1430
System Simulation (United Kingdom) · GBAge UK · GBGhent University Hospital · BEGlaxoSmithKline (India) · INManisa Celal Bayar University · TRSanta Casa Hospital · BRUniversity of Oxford · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionEven though increased use of reliever medication, including short-acting beta agonists (SABA), provides an indirect measure of symptom worsening, there have been limited efforts to assess how different patterns of reliever use correlate with symptom control and future risk of exacerbations. Here, we evaluate the effect of individual baseline characteristics on reliever use in patients with moderate-severe asthma on regular maintenance therapy with fluticasone propionate (FP) or combination therapy with fluticasone propionate/salmeterol (FP/SAL) or budesonide/formoterol (BUD/FOR).

methodsA drug-disease model describing the number of 24-h puffs and overnight occasions was developed with data from five clinical studies (N = 6212). The model was implemented using a nonlinear mixed effects approach and a Poisson function, considering clinical and demographic baseline characteristics. Goodness of fit and model predictive performance were assessed. Heatmaps were created to summarise the effect of concurrent baseline factors on reliever utilisation.

resultsThe final model accurately described individual patterns of reliever use, which is significantly increased with time since diagnosis, smoking, higher Asthma Control Questionnaire (ACQ-5) score and higher body mass index (BMI) at baseline. Whilst the number of puffs decreases slowly after an initial drop relative to the start of treatment, exacerbating patients utilise significantly more reliever than those who do not exacerbate. The mean effect of FP/SAL (median dose: 250/50 μg BID) on reliever use was slightly higher than that of BUD/FOR (median dose: 160/4.5 μg BID), i.e. a 75.3% vs 69.3% reduction in reliever use, respectively.

conclusionsThe availability of individual-level patient data in conjunction with a parametric approach enabled the characterisation of interindividual differences in the patterns of reliever use in patients with moderate-severe asthma. Taken together, individual demographic and clinical characteristics, as well as exacerbation history, can be considered an indicator of the degree of asthma control. High SABA reliever use suggests suboptimal clinical management of patients on maintenance therapy.

Indexed as

Anti-Asthmatic AgentsAsthmaAdministration, InhalationBronchodilator AgentsBudesonide, Formoterol Fumarate Drug CombinationDrug CombinationsFluticasoneFormoterol FumarateHumansRandomized Controlled Trials as TopicAnti-Asthmatic AgentsBronchodilator AgentsBudesonide, Formoterol Fumarate Drug CombinationDrug CombinationsFluticasoneFormoterol FumarateAsthma symptom controlDrug-disease modellingExacerbationICS/LABA combination therapyInhaled corticosteroidsReliever medicationRescue medicationSABAShort-acting beta agonists

Identifiers

PMID38296921
PMCPMC10879282
OpenAlexW4391443632

What OpenQuestion holds

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LicenceCC BY-NC
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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.