Outcomes of Women with Early-Stage Breast Cancer Receiving Adjuvant Trastuzumab
Bibliographic record
Abstract
INTRODUCTION: Large randomized trials assessing the benefit of adjuvant trastuzumab in early-stage breast cancer positive for the human epidermal growth factor receptor 2 (her2) have demonstrated a significant improvement in survival. The objective of the present study was to describe the outcomes of women who received adjuvant trastuzumab for her2-positive breast cancer in British Columbia since publicly funded population-based use was initiated in July 2005. METHODS: Women from British Columbia, newly diagnosed with stage i-iii breast cancer between July 2004 and December 2006, who were positive for her2 overexpression by immunohistochemistry (3+) or amplification by fluorescence in situ hybridization (ratio ≥ 2.0) were included in the study. Data were collected from the prospectively assembled BC Cancer Agency Outcomes Unit, with cases linked to the provincial pharmacy data repository to determine the proportion of women who received adjuvant trastuzumab. RESULTS: Our retrospective study identified 703 her2-positive patients, of whom 480 (68%) received trastuzumab. In patients receiving trastuzumab, the 2-year relapse-free survival was 96.1% [95% confidence interval (CI): 93.6% to 97.7%] and the overall survival was 99.3% (95% CI: 97.9% to 99.8%). Among node-negative and -positive patients, the 2-year relapse-free survival was 97.8% and 94.8% respectively (p = 0.09) for the trastuzumab-treated group and 90.9% and 77.3% (p = 0.01) for the group not receiving trastuzumab (n = 223). Site of first distant metastasis was the central nervous system in 19.5% of the entire cohort and in 37.5% of patients treated with trastuzumab. DISCUSSION: This population-based analysis of adjuvant trastuzumab use among Canadian women demonstrates highly favorable outcomes at the 2-year follow-up.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.001 | 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 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".