Should adjuvant zoledronic acid be used in early-stage, endocrine-sensitive breast cancer?
Bibliographic record
Abstract
e17564 Background: Adjuvant zoledronic acid (ZA) appears to improve disease-free survival (DFS) in women with endocrine-sensitive breast cancer and low estrogen levels (LEL) including post-menopausal women, and pre-menopausal women treated with LHRH agonists. ZA, however, is also associated with potential adverse events and incremental drug acquisition costs. An overall assessment of the long-term clinical and economic impacts of adjuvant ZA may therefore help guide the decision to adopt this novel therapeutic option. We examined the incremental quality-adjusted life-years (QALY) and costs per QALY associated with adjuvant endocrine treatment plus ZA relative to endocrine treatment without ZA in women with endocrine-sensitive breast cancer and LEL. Methods: A generic state-transition model was developed to compute cumulative costs, from a Canadian perspective, and QALY associated with and without adjuvant ZA (4 mg IV qM*3→ q3M*8 → q6M*5) over a 25-year horizon for women with endocrine-sensitive breast cancer and LEL. Costs, utilities, DFS and adverse events were derived from relevant clinical trials, the literature and local resources. One-way and probabilistic sensitivity analyses were conducted for key model parameters. Results: Adjuvant ZA was associated with incremental QALY gains of 0.80 and 0.52 and resultant CU estimates of $3,571 and $7,683 per QALY gained in pre- and post-menopausal women, respectively. CU estimates were robust across reasonable uncertainty ranges in all parameters. Conclusions: Adjuvant ZA appears to be associated with long-term QALY gains in women with endocrine-sensitive breast cancer and LEL as well as CU estimates that are well below commonly accepted North American thresholds. The favourable long-term clinical and economic impacts observed in this study further support the use of adjuvant ZA in this setting.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".