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Record W1840080983 · doi:10.1586/17476348.2015.1081065

Dual bronchodilator therapy with aclidinium bromide/formoterol fumarate for chronic obstructive pulmonary disease

2015· review· en· W1840080983 on OpenAlexaff
Tony D’Urzo, James F. Donohue, David Price, Marc Miravitlles, Edward Kerwin

Bibliographic record

VenueExpert Review of Respiratory Medicine · 2015
Typereview
Languageen
FieldMedicine
TopicChronic Obstructive Pulmonary Disease (COPD) Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineIndacaterolBronchodilatorCOPDFormoterolFormoterol FumarateLamaBronchodilator AgentsTolerabilityInhalerBronchodilationTiotropium bromideAsthmaAnesthesiaIntensive care medicineInternal medicineAdverse effectLungBudesonideLung function

Abstract

fetched live from OpenAlex

Inhaled bronchodilator therapy is a mainstay of treatment for chronic obstructive pulmonary disease (COPD). Despite the number and types of treatments available, the control of symptoms and exacerbations remains suboptimal, and adherence to, and persistence with, inhaled therapy is generally poor. Results from clinical studies suggest that dual bronchodilator therapy with long-acting muscarinic receptor antagonists (LAMAs) and long-acting β2 adrenergic receptor agonists (LABAs) may provide additional benefit over LAMA or LABA monotherapy without additive effects on safety and tolerability. Several combinations of a LAMA plus a LABA have recently become available in a single inhaler for maintenance therapy for adults with moderate-to-severe COPD, including aclidinium bromide/formoterol fumarate, glycopyrronium/indacaterol and umeclidinium/vilanterol. Here, we review clinical data demonstrating significant improvements in bronchodilation, 24-h symptoms, and health status with aclidinium/formoterol twice daily, and discuss how this treatment can be implemented in clinical practice as part of a patient-focused approach to disease control.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.736
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0090.002
Bibliometrics0.0010.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.082
GPT teacher head0.405
Teacher spread0.323 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreReview

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

Citations6
Published2015
Admission routes1
Has abstractyes

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