Indacaterol provides sustained 24 h bronchodilation on once‐daily dosing in asthma: a 7‐day dose‐ranging study
Bibliographic record
Abstract
BACKGROUND: Indacaterol is a novel, once-daily beta(2)-agonist in development for the treatment of asthma and chronic obstructive pulmonary disease. Studies were required to determine optimal dose(s) for continuing investigation. OBJECTIVE: A dose-ranging study was undertaken to evaluate efficacy and safety of indacaterol. METHODS: A total of 436 patients with persistent asthma receiving inhaled corticosteroids were randomized to 7 days treatment with once-daily indacaterol 50, 100, 200, or 400 microg via multi-dose dry-powder inhaler (MDDPI; Certihaler), indacaterol 400 microg via single-dose dry-powder inhaler (SDDPI), or placebo. Serial 24-h spirometry was performed on days 1 and 7. Vital signs, laboratory evaluations, and adverse events were monitored. RESULTS: All doses of indacaterol increased the mean time-standardized area under the curve of forced expiratory volume in 1 s (FEV(1)) from 22 to 24 h postdose (P <or= 0.001 vs placebo) on days 1 and 7, with clinically relevant treatment-placebo differences of 240, 260, 350, 300, and 380 ml on day 1 and 230, 220, 320, 250, and 270 ml on day 7 for indacaterol 50, 100, 200, and 400 microg via MDDPI and 400 microg via SDDPI, respectively. All doses increased mean FEV(1) (P < 0.05 vs placebo) from 5 min to 24 h postdose on days 1 and 7. All doses were well tolerated. Most adverse events were mild-to-moderate in severity: most frequently reported were respiratory, thoracic, and mediastinal disorders. CONCLUSION: Once-daily dosing with indacaterol provided sustained 24-h bronchodilation in patients with moderate-to-severe asthma, with a satisfactory overall safety profile. Indacaterol 200 microg appears the optimum dose, offering the best efficacy/safety balance.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".