Dual bronchodilation with QVA149 reduces patient-reported dyspnoea in COPD: the BLAZE study
Bibliographic record
Abstract
We evaluated the effect of QVA149, a dual bronchodilator combining indacaterol and glycopyrronium, on direct patient-reported dyspnoea in patients with moderate-to-severe chronic obstructive pulmonary disease. In this multicentre, blinded, double-dummy, three-period crossover study, 247 patients were randomised to once-daily QVA149 110/50 μg, placebo or tiotropium 18 μg. Superiority of QVA149 versus placebo (primary objective) and tiotropium (secondary objective) was assessed for improvement in dyspnoea via the self-administered computerised (SAC) version of the Baseline and Transition Dyspnoea Index after 6 weeks. Secondary end-points included lung function, rescue medication use and safety. After 6 weeks, the SAC Transition Dyspnoea Index total score was significantly higher with QVA149 versus placebo (least squares mean (LSM) treatment difference 1.37, p<0.001) and tiotropium (LSM treatment difference 0.49, p=0.021). QVA149 provided significant improvements in lung function, with higher forced expiratory volume in 1 s area under the curve from 0-4 h post-dose versus placebo and tiotropium at day 1 and week 6 (all p<0.001). Rescue medication use was significantly lower with QVA149 versus placebo (p<0.001) and tiotropium (p=0.002). All treatments were well tolerated. Once-daily QVA149 provided superior improvements in patient-reported dyspnoea and lung function versus placebo and tiotropium. These benefits were associated with improvements in other symptoms and reduced use of rescue medication.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".