Cost-effectiveness analysis of a single-inhaler triple therapy for COPD in the UK
Why this work is in the frame
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Bibliographic record
Abstract
UK management costs for COPD, estimated at £1.9 billion/year, are rising. In the FULFIL (Lung Function and Quality of Life Assessment in Chronic Obstructive Pulmonary Disease with Closed Triple Therapy) study, single-inhaler triple therapy with fluticasone furoate/umeclidinium/vilanterol (100/62.5/25 µg) improved clinical outcomes versus budesonide/formoterol (400/12 µg) in patients with symptomatic COPD at risk of exacerbations. We assessed the cost-effectiveness of fluticasone furoate/umeclidinium/vilanterol versus budesonide/formoterol for treating COPD from a UK National Health Service perspective. A model was developed combining a trial-based and Markov component and populated with baseline and treatment effect data from FULFIL, together with UK healthcare resource costs and disease-related utilities. Costs per life year and per quality-adjusted life year gained (costing year 2017) for fluticasone furoate/umeclidinium/vilanterol versus budesonide/formoterol were calculated for a lifetime horizon. Results were explored using deterministic sensitivity, scenario and probabilistic analyses. Fluticasone furoate/umeclidinium/vilanterol was associated with gains in life years (0.533) and quality-adjusted life years (0.506) versus budesonide/formoterol, but at slightly increased total costs (£26 416 versus £25 860). This translated to incremental cost-effectiveness ratios of £1042/life year and £1098/quality-adjusted life year for fluticasone furoate/umeclidinium/vilanterol versus budesonide/formoterol. In scenario analyses, incremental cost-effectiveness ratios ranged from dominant to £1547/quality-adjusted life year gained. Fluticasone furoate/umeclidinium/vilanterol provides a cost-effective treatment option versus budesonide/formoterol for patients with symptomatic COPD in the UK.
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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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it