Selection of Optimal Adjuvant Chemotherapy Regimens for Human Epidermal Growth Factor Receptor 2 (HER2) –Negative and Adjuvant Targeted Therapy for HER2-Positive Breast Cancers: An American Society of Clinical Oncology Guideline Adaptation of the Cancer Care Ontario Clinical Practice Guideline
Bibliographic record
Abstract
PURPOSE: A Cancer Care Ontario (CCO) guideline on the selection of optimal adjuvant chemotherapy regimens for early breast cancer including adjuvant targeted therapy for human epidermal growth factor receptor 2 (HER2)-positive breast cancers was identified for adaptation. METHODS: The American Society of Clinical Oncology (ASCO) has a policy and set of procedures for adapting clinical practice guidelines developed by other organizations. The CCO guideline was reviewed for developmental rigor and content applicability. RESULTS: On the basis of the content review of the CCO guideline, the ASCO Panel agreed that, in general, the recommendations were clear and thorough and were based on the most relevant scientific evidence, and they presented options that will be acceptable to patients. However, for some topics addressed in the CCO guideline, the ASCO Panel formulated a set of adapted recommendations on the basis of local context and practice beliefs of the Panel members. RECOMMENDATIONS: Decisions regarding adjuvant chemotherapy regimens should take into account baseline recurrence risk, toxicities, likelihood of benefit, and host factors such as comorbidities. In high-risk HER2-negative populations with excellent performance status, anthracycline- and taxane-containing regimens are the standard of care. Docetaxel and cyclophosphamide for four cycles is an acceptable non-anthracycline regimen. In high-risk HER2-positive disease, sequential anthracycline and taxanes administered concurrently with trastuzumab or docetaxel, carboplatin, and trastuzumab for six cycles are recommended. An alternative regimen in a lower-risk, node-negative, HER2-positive population is paclitaxel and trastuzumab once per week for 12 cycles. Trastuzumab should be given for 1 year. Platinum salts should not be routinely administered in the adjuvant triple-negative population until survival efficacy data become available.
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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 | 0.018 | 0.036 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".