Cost-effectiveness of tiotropium versus glycopyrronium in moderate to very severe chronic obstructive pulmonary disease in Canada, Spain, Sweden, and the UK
Bibliographic record
Abstract
OBJECTIVES: Tiotropium (TIO), Spiriva® Handihaler®, is a well-established bronchodilator, LAMA (long acting muscarinic antagonist), for the treatment of moderate to very severe chronic obstructive pulmonary disease (COPD). Clinical evidence from the SPARK trial suggests that TIO is superior to glycopyrronium (GLY), Seebri® Breezhaler®, in terms of severe exacerbations. This modeling study assessed the cost-effectiveness of TIO versus GLY for Canada (CAN), Spain (ESP), Sweden (SWE), and the UK, making use of this new clinical evidence. METHODS: A Markov cohort model, with moderate to very severe (Global Initiative for Chronic Obstructive Lung Disease II-IV) COPD patients, was populated with efficacy data from the Understanding Potential Long-term Impacts on Function with Tiotropium (UPLIFT) and SPARK trials as well as costs, utilities, and epidemiological data relevant for each country. Treatment efficacy was modeled as improvements in lung function, quality-adjusted life years (QALYs), and as a lowering of the risk of exacerbations (rate of exacerbations). Risks of exacerbations differed between cohorts based on data from SPARK. Health and cost outcomes were simulated over an approximate lifetime horizon, starting from the age of 65 years. Robustness of results was validated in deterministic sensitivity analyses. RESULTS: Over the lifetime horizon, patients treated with TIO accumulated -623 (CAN), 1,066 (ESP), 1,137 (SWE), and -169 (UK), respectively, in incremental costs (€2014). TIO generated better health outcomes compared to GLY in all countries, 0.21 (CAN), 0.25 (ESP), 0.23 (SWE), and 0.23 (UK) in incremental QALYs. The cost per QALY gained was found to be €4,281 and €1,137 for ESP and SWE, respectively, while TIO was found to be cost saving in CAN and the UK. The results were mainly driven by the relative risk of severe exacerbations found in SPARK (GLY/TIO relative risk: 1.43, 95% confidence interval: 1.05-1.97, P=0.025). CONCLUSION: The results from this study show that TIO is a cost-effective treatment compared to GLY in moderate to very severe COPD. The cost per QALY is well below the existing implicit and explicit willingness-to-pay thresholds.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".