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.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".