Cost-effectiveness analysis of a single-inhaler triple therapy for COPD in the UK
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 outcomesversusbudesonide/formoterol (400/12 µg) in patients with symptomatic COPD at risk of exacerbations. We assessed the cost-effectiveness of fluticasone furoate/umeclidinium/vilanterolversusbudesonide/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/vilanterolversusbudesonide/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)versusbudesonide/formoterol, but at slightly increased total costs (£26 416versus£25 860). This translated to incremental cost-effectiveness ratios of £1042/life year and £1098/quality-adjusted life year for fluticasone furoate/umeclidinium/vilanterolversusbudesonide/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 optionversusbudesonide/formoterol for patients with symptomatic COPD in the UK.
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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 | 0.004 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".