Bibliographic record
Abstract
BACKGROUND: The costs of asthma and chronic obstructive pulmonary disease (COPD), the two most common chronic respiratory illnesses, are substantial and rising. The fixed-dose combination of fluticasone and salmeterol has been a safe and effective therapy for these diseases. OBJECTIVES: To review the pharmacoeconomic impact of the fixed-dose combination of inhaled fluticasone and salmeterol in asthma and COPD. METHODS: A systematic review of the literature was carried out to identify pharmacoeconomic studies with fixed-dose salmeterol and fluticasone (Seretide, Advair, Viani). In addition, abstracts from recent respiratory meetings were sought, and any unpublished data were requested from the manufacturer. RESULTS: For asthma, when compared to treatment with inhaled corticosteroid monotherapy and antileukotrienes, alone or combined, salmeterol/fluticasone inhalation produced a higher proportion of successfully treated weeks, improvement in lung function and quality of life, and fewer treatment failures. The costs per quality-adjusted life year (QALY) for fluticasone/salmeterol have been favourable not only in patients with moderate to severe disease but also in patients with mild disease or patients not previously treated with a maintenance therapy. The excess cost per QALY varied from US$2,670 to US$26,445. For COPD, a clear reduction in exacerbation rates and improvement in quality of life has been demonstrated with salmeterol/fluticasone along with a likely improvement in survival rates. The incremental cost per QALY ratio for fluticasone/salmeterol against placebo ranged from US$9,512 to US$64,038. CONCLUSIONS: The data currently available suggest that the cost effectiveness of combination therapy with fluticasone and salmeterol is favourable for asthma and COPD in a variety of clinical settings.
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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 | 0.015 | 0.034 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.032 |
| Bibliometrics | 0.007 | 0.008 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".