Cost‐Effectiveness of Combination Therapy for Chronic Obstructive Pulmonary Disease
Bibliographic record
Abstract
BACKGROUND: There is evidence that combination therapy (CT) in the form of long-acting beta(2)-agonists (LABAs) and inhaled corticosteroids can improve lung function for patients with chronic obstructive pulmonary disease (COPD). OBJECTIVE: To determine the cost-effectiveness of using CT in none, all or a selected group of COPD patients. METHODS: A Markov model was designed to compare four treatment strategies: no use of CT regardless of COPD severity (patients receive LABA only); use of CT in patients with stage 3 disease only (forced expiratory volume in 1 s [FEV(1)] less than 35% of predicted); use of CT in patients with stages 2 and 3 disease only (FEV(1) less than 50% of predicted); and use of CT in all patients regardless of severity of COPD. Estimates of mortality, exacerbation and disease progression rates, quality- adjusted life years (QALYs) and costs were derived from the literature. Three-year and lifetime time horizons were used. The analysis was conducted from a health systems perspective. RESULTS: CT was associated with a cost of $39,000 per QALY if given to patients with stage 3 disease, $47,500 per QALY if given to patients with stages 2 and 3 disease, and $450,333 per QALY if given to all COPD patients. Results were robust to various assumptions tested in a Monte Carlo simulation. CONCLUSION: Providing CT for COPD patients in stage 2 or 3 disease is cost-effective. The message to family physicians and specialists is that as FEV(1) worsens and reaches 50% of predicted values, CT is recommended.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".