Economic analysis of albumin-bound paclitaxel for the treatment of metastatic breast cancer
Bibliographic record
Abstract
BACKGROUND: An albumin-bound formulation of paclitaxel (nab-paclitaxel) was developed to provide additional efficacy and to overcome the safety drawbacks of paclitaxel and docetaxel in patients with metastatic breast cancer. To provide health economic data for the Canadian setting, an economic analysis comparing each of nab-paclitaxel and docetaxel, both as alternatives to paclitaxel in metastatic breast cancer was conducted. METHODS: The clinical and safety data were obtained from a meta-analysis of randomized trials comparing either nab-paclitaxel (260 mg/m(2) q3wk) or docetaxel (100 mg/m( 2) q3wk), to standard paclitaxel (175 mg/m(2) q3wk). Health care resource use for the delivery of chemotherapy and the management of grade III/IV toxicity was collected from the oncology literature. Treatment preferences and health state utilities were obtained from 24 female oncology nurses and pharmacists using the time trade-off technique. RESULTS: Nab-paclitaxel had the lowest incidence of grade III/IV toxicity. This translated to lower overall costs for managing the grade III/IV events relative to both docetaxel and paclitaxel ($597 vs. $2626 vs. $1227). Using the median number of cycles administered and the cost impact of grade III/ IV toxicity, the overall cost for nab-paclitaxel would be $15,105 compared to $15,268 for docetaxel and $3557 for paclitaxel. When treatment preferences were assessed, 20 of 24 (83.3%) respondents selected nab-paclitaxel as their preferred choice compared to only 4 who selected docetaxel. These corresponded to a gain of 0.203 and 0.016 QALYs for nab-paclitaxel and docetaxel, respectively. With these utility benefits, the incremental cost per QALY gained was more favorable for nab-paclitaxel than docetaxel ($56,800 vs. $739,600). CONCLUSIONS: Nab-paclitaxel would be an economically reasonable alternative to docetaxel in MBC patients. As an alternative to paclitaxel, formulary committees must decide if the $56,800 cost per QALY represents good value in their health care setting.
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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 | 0.039 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".