A Canadian Economic Analysis of U.S. Oncology Adjuvant Trial 9735
Bibliographic record
Abstract
OBJECTIVES: Recent results of the U.S. Oncology Adjuvant Trial 9735 demonstrated significant disease-free survival and overall survival benefits for docetaxel and cyclophosphamide (tc) compared with doxorubicin and cyclophosphamide (ac) in the adjuvant treatment of operable invasive breast cancer. Based on clinical data from the 9735 study, we evaluated the lifetime cost-effectiveness of tc compared with ac from the perspective of the Canadian publicly funded health care system. METHODS: A Markov model was developed to estimate the incremental cost per quality-adjusted life-year gained and per life-year gained. Monthly survival and risk of disease recurrence up to 7 years were obtained directly from the overall survival and disease-free survival curves in the 9735 study; life-years beyond 7 years were estimated using the average life expectancy of age-matched women in the general Canadian population. Canadian-specific resource utilization and unit costs (in 2008 Canadian dollars) were applied to estimate costs for chemotherapy administration, chemotherapy-related toxicities, recurrence, and adverse events. Health-utility scores and decrements used in the calculation of quality-adjusted life-years were derived from the literature. RESULTS: The lifetime cost per quality-adjusted life-year gained was $8,251 for tc compared with ac, and the cost per life-year gained was $6,842. The results were robust across a range of sensitivity analyses. CONCLUSIONS: Cost-effectiveness, combined with efficacy and an acceptable safety profile, support the adoption of tc as an alternative to ac in Canadian clinical practice for the adjuvant treatment of operable early breast cancer.
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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 | 0.014 | 0.036 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.005 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".