Aclidinium bromide in fixed-dose combination with formoterol fumarate in the management of COPD: an update on the evidence base
Bibliographic record
Abstract
agonist (LAMA/LABA) dual-bronchodilator maintenance therapy used to relieve symptoms and reduce future risk of exacerbations in adults with chronic obstructive pulmonary disease (COPD). To date, there have been several clinical studies and post hoc analyses of AB/FF, assessing treatment outcomes in patients with moderate-to-severe COPD. These studies have looked at a range of outcomes, including lung function parameters, patient-reported symptom scores, quality-of-life measures assessing impaired health and perceived well-being, and the frequency, duration, and severity of exacerbations. In light of the major 2017 revision to the Global initiative for chronic Obstructive Lung Disease (GOLD) recommendations, and the subsequent updates, we present an update on the latest evidence supporting the efficacy and safety of AB/FF. This review discusses the clinical relevance of the improvements in lung function, symptoms, quality of life, and exacerbations in patients with COPD reported in the phase III and IV trials of AB/FF. Given the current concerns over unnecessary inhaled corticosteroid (ICS) use in COPD, we also touch briefly on the use of blood eosinophils as a biomarker for identifying those patients with COPD already using LAMA/LABA therapy for whom the addition of ICS might be of benefit.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".