Cost-effectiveness in Canada of azacitidine for the treatment of higher-risk myelodysplastic syndromes
Bibliographic record
Abstract
OBJECTIVE: Our goal was to determine the economic value of azacitidine in Canada compared with conventional care regimens (ccrs), including best supportive care (bsc) and low- or standard-dose chemotherapy plus bsc in the treatment of higher-risk myelodysplastic syndromes (mdss) and acute myeloid leukemia (aml) with 20%-30% blasts. METHODS: The cost-utility model is a lifetime probabilistic Markov model with a 35-day cycle length consisting of 3 health states: mds; transformation to aml with more than 30% blasts; and death. A third-party public payer perspective was adopted. Overall survival was extrapolated beyond the time horizon of the aza-001 trial comparing azacitidine with ccr. Resource use was determined through a questionnaire completed by Canadian hematologists. Utility values were obtained from two studies in which EQ-5D health questionnaire values were mapped from the European Organization for Research and Treatment of Cancer qlq-C30 survey, and SF-6D scores were mapped from the Short Form 12, elicited from 191 and 43 patients in two different trials. RESULTS: In the base case, azacitidine had an incremental cost-effectiveness ratio (icer) of $86,182 (95% confidence limits: $69,920, $107,157) per quality-adjusted life year (qaly) gained relative to ccr. Comparing azacitidine with bsc, low-dose chemotherapy plus bsc, and standard-dose chemotherapy plus bsc, the icers were, respectively, $86,973, $84,829, and $2,152 per qaly gained. Results were most sensitive to the utility for azacitidine after 6 months of treatment and to overall survival. CONCLUSIONS: The prolonged 9-month median overall survival with azacitidine relative to ccr fills a gap w hen treating patients with higher-risk mds and aml with 20%-30% blasts. The economic value of azacitidine is within the threshold of willingness-to-pay for third-party public payers for oncology treatments in Canada.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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".