Real-world comparative effectiveness of three single-inhaler dual bronchodilators for the treatment of COPD
Bibliographic record
Abstract
BACKGROUND: Single-inhaler dual bronchodilators are now recommended as initial treatment of COPD for patients with multiple exacerbations or with moderate or severe dyspnoea. It is unclear whether there are differences in effectiveness among commonly used dual bronchodilators. METHODS: We identified a cohort of COPD patients, aged ≥40 years, treated during 2017-2020, from the UK Clinical Practice Research Datalink, a real-world practice setting. Inhaled corticosteroid-naïve patients initiating vilanterol-umeclidinium (VIL-UME) were compared with those initiating olodaterol-tiotropium (OLO-TIO) or indacaterol-glycopyrronium (IND-GLY) dual bronchodilators primarily on the incidence of moderate and severe COPD exacerbation over 1 year, and corresponding hazard ratios (HRs), after adjustment by propensity score weighting. RESULTS: The cohort included 15 224 initiators of VIL-UME, 5536 initiators of OLO-TIO and 5059 initiators of IND-GLY. The HR of a moderate or severe exacerbation with VIL-UME was 0.91 (95% CI 0.85-0.97) compared with OLO-TIO and 0.96 (95% CI 0.89-1.03) compared with IND-GLY. The risk of severe exacerbation was not different for VIL-UME when compared with OLO-TIO (HR 1.04, 95% CI 0.86-1.26) and IND-GLY (HR 1.05, 95% CI 0.86-1.28). All-cause mortality was lower with VIL-UME compared with IND-GLY (HR 0.82, 95% CI 0.68-0.98), but not compared with OLO-TIO (HR 0.87, 95% CI 0.72-1.04). CONCLUSION: In a real-world setting of COPD treatment, the three dual bronchodilator combinations were similarly effective on the risk of a severe exacerbation of COPD. However, the VIL-UME and IND-GLY combinations may confer slightly superior effectiveness than OLO-TIO on the risk of moderate or severe exacerbation. The potential lower mortality with VIL-UME warrants further investigation.
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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 | 0.022 | 0.039 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.008 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 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".