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SIMILAR EFFICACY FOLLOWING FOUR WEEKS TREATMENT OF ASTHMATICS WITH FORMOTEROL 12 μG B.D. DELIVERED BY TWO DIFFERENT DRY POWDER INHALERS: DIFFERENCES IN INHALER HANDLING

2001· article· en· W4367478987 on OpenAlexaff
A Eliraz, Alicia Ramírez‐Rivera, P Ferranti, R Holzer, JM Ignacio Garcí, C Turcotte, G. Rapatz, Pascal Pfister, Tim Overend, John Kottakis

Bibliographic record

VenueInternational Journal of Clinical Practice · 2001
Typearticle
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsClinique Neuro-Outaouais
Fundersnot available
KeywordsMedicineInhalerFormoterolDry-powder inhalerAsthmaAnesthesiaMorningFormoterol FumarateBronchodilatorInhalationInternal medicineBudesonide

Abstract

fetched live from OpenAlex

SUMMARY This randomised, multicentre, parallel‐group study compared the clinical efficacy and ease of handling of two dry powder inhalers delivering the long‐acting β 2 ‐agonist formoterol. After run‐in, 200 asthmatics on treatment with inhaled corticosteroids and still presenting with suboptimal asthma control were randomised to receive 12 μg formoterol twice daily via either the Aerolizer inhaler (Foradil ® Aerolizer™) or the Turbuhaler inhaler (Oxis® Turbuhaler®) for four weeks. Study variables included the mean morning pre‐medication peak expiratory flow (PEF) during the last seven days of treatment and the correct inhaler handling according to inhaler‐specific checklists. The mean difference in the effect on morning pre‐medication PEF was 13.86 l/min in favour of formoterol via the Aerolizer inhaler (90% confidence interval 2.50, 25.21) in the intent‐to‐treat population. Eighty‐six per cent of the patients under treatment with formoterol via the Turbuhaler inhaler performed correctly all the essential inhalation manoeuvres, whereas 98% of those on the Aerolizer inhaler did so. These results strongly suggest similar clinical efficacy with twice daily treatment of formoterol 12 μg metered dose delivered either by the Aerolizer, or the Turbuhaler device. They also suggest that handling the Aerolizer is easier than that of the Turbuhaler.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.153
Threshold uncertainty score0.586

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.069
GPT teacher head0.407
Teacher spread0.338 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations21
Published2001
Admission routes1
Has abstractyes

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