The long-term clinical and economic benefits of treating advanced COPD patients with single-inhaler triple therapy in Quebec, Canada – The IMPACT trial
Bibliographic record
Abstract
BACKGROUND: This cost-utility analysis assessed the long-term clinical and economic benefits of fluticasone furoate/umeclidinium/vilanterol (FF/UMEC/VI) triple therapy vs FF/VI or UMEC/VI from a Quebec societal perspective in patients with chronic obstructive pulmonary disease (COPD) with ≥1 moderate/severe exacerbation in the previous year. METHODS: The validated GALAXY disease progression model was utilized, with parameters set to baseline and efficacy data from IMPACT. Treatment costs (2017 Canadian dollars [C$]) were estimated using Quebec-specific unit costs. Costs and health outcomes were discounted at 1.5 %/year. A willingness-to-pay threshold of C$50,000/quality-adjusted life year (QALY) was considered cost-effective. Outcomes modeled were exacerbation rates, QALYs, life years (LYs), costs and incremental cost-effectiveness ratios (ICERs). Subgroup analyses were performed according to prior treatment, exacerbation history in the previous year, and baseline lung function. RESULTS: Over a lifetime horizon, FF/UMEC/VI resulted in more QALYs and LYs gained, at a small incremental cost compared with FF/VI and UMEC/VI. From a societal perspective, the estimated ICER for the base case was C$18,152/QALY vs FF/VI, and C$15,847/QALY vs UMEC/VI. For the subgroup analyses (FF/UMEC/VI compared with FF/VI and UMEC/VI), ICERs ranged from: C$17,412-25,664/QALY and C$16,493-18,663/QALY (prior treatment); C$15,247-19,924/QALY and C$15,444-28,859/QALY (exacerbation history); C$14,025-34,154/QALY and C$16,083-17,509/QALY (baseline lung function). INTERPRETATION: FF/UMEC/VI was predicted to improve outcomes and be cost-effective vs both comparators in the base case and all subgroup analyses, and based on this analysis would be an appropriate investment of health service funds in Quebec. CLINICAL TRIAL REGISTRATION NUMBER: IMPACT trial NCT02164513.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".