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Record W4404642698 · doi:10.1016/j.pupt.2024.102333

Triple inhaled therapy in asthma: Beliefs, behaviours and doubts

2024· article· en· W4404642698 on OpenAlexaff
Diego Bagnasco, Ignacio J. Ansotegui, I. Baiardini, Alida Benfante, Jonathan A. Bernstein, András Bikov, Benedetta Bondi, Boulet Lp, Carmen Panaitescu, Giorgio Walter Canonica, Herberto José Chong‐Neto, L. DuBuske, Rasha El‐Owaidy, M Ferraris, Miodrag Filipovic, Francisco Javier González‐Barcala, Guidos Fogelbach G, Ivancevich Jc, Edin Jusufović, Krzysztof Kowal, Francesca Lantieri, Bassam Mahboub, Ștefan Mihăicuță, Marcello Mincarini, Denislava Nedeva, Plamena Novakova, S Novakova, Carlos Pereira Nunes, Ricchiuto Fr, Pierachille Santus, Nicola Scichilone, Paschalis Steiropoulos, Alessandra Tomasello, JC Virchow, Rajiv Yadav, Sergio Zunino, F Braido

Bibliographic record

VenuePulmonary Pharmacology & Therapeutics · 2024
Typearticle
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsMedicineAsthmaDelphi methodFamily medicineIntensive care medicineInternal medicine

Abstract

fetched live from OpenAlex

Long-acting muscarinic antagonists (LAMA) in association with inhaled corticosteroids (ICS) plus long-acting beta-2 agonists (LABA) are recommended by the GINA report as further option in step 4 and first choice in step 5 treatment. Despite consistent evidence of its efficacy and safety, inhaled triple therapy (ITT) is still not largely used in patients with asthma. With the aim to explore belief and behaviours of asthma specialists, an ad hoc survey has been developed by a panel of Interasma Scientific Network (INESnet) experts and subsequently defined by two Delphi rounds among an international group of physicians. The questionnaire has been distributed through Interasma social media between June and September 2023. Besides a descriptive analysis, to assess the responses gathered from the questionnaire, Spearman's non-parametric statistical method was employed. Totally, three hundred fourteen questionnaires were completed. Clinicians' attitudes and behaviours toward timing and methodologies adopted in prescribing ITT, were analysed. 35.7 % specialists consider ITT as a relevant therapeutic option, 61.8 % that is second option after reaching high dose of ICS-LABA and 89.2 % agreed that optimization of inhaled therapy should be attempted before the use of biological drugs. Persistent flow limitation and high reversibility are considered predictive factors of response. Specialists consider ITT a resource in asthma management. Although its efficacy in decreasing exacerbation rate and improving lung function were well known, the survey revealed persistent uncertainties among clinicians in positioning it highlighting the need for further measures to effectively integrate research findings into day-to-day clinical practice. • Inhaled triple therapy (ITT) is still not widely used in asthmatic patients. • The Interasma Scientific Network explored the beliefs and behaviors of asthma specialists. • Specialists consider ITT particularly after high-dose ICS-LABA therapy and before biologics. • Stable flow limitation and high reversibility are considered predictive of response. • The survey revealed persistent uncertainties among clinicians regarding ITT.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.030
GPT teacher head0.335
Teacher spread0.305 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations8
Published2024
Admission routes1
Has abstractyes

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