The Cost–Utility of Adjuvant Chemotherapy Using Docetaxel and Cyclophosphamide Compared with Doxorubicin and Cyclophosphamide in Breast Cancer
Bibliographic record
Abstract
PURPOSE: The adoption of a chemotherapeutic regimen in oncologic practice is a function of both its clinical and its economic impacts on cancer management. For breast cancer, U.S. Oncology trial 9735 reported significant improvements in disease-free and overall survival favoring adjuvant tc (docetaxel 75 mg/m(2) and cyclophosphamide 600 mg/m(2) every 3 weeks for 4 cycles) compared with ac (doxorubicin 60 mg/ m(2) and cyclophosphamide 600 mg/m(2) every 3 weeks for 4 cycles). We carried out an economic evaluation to examine the cost-utility of adjuvant tc relative to ac, in terms of cost per quality-adjusted life year (qaly) gained, given the improved breast cancer outcomes and higher costs associated with the tc regimen. METHODS: A Markov model was developed to calculate the cumulative costs and qalys gained over a 10-year horizon for hypothetical cohorts of women with breast cancer treated with ac or with tc. Event rates, costs, and utilities were derived from the literature and local resources. Efficacy and adverse events were based on results reported from U.S. Oncology trial 9735. The model takes a third-party direct payer perspective and reports its results in 2008 Canadian dollars. Costs and benefits were both discounted at 3%. RESULTS: At a 10-year horizon, tc was associated with $3,960 incremental costs and a 0.24 qaly gain compared with ac, for a favorable cost-utility of $16,753 per qaly gained. Results were robust to model assumptions and input parameters. CONCLUSIONS: Relative to ac, tc is a cost-effective adjuvant chemotherapy regimen, with a cost-effectiveness ratio well below commonly applied thresholds.
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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 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".