Sentinel Node Biopsy Alone or With Axillary Dissection in Breast Cancer Patients After Primary Chemotherapy: Long-Term Results of a Prospective Interventional Study
Bibliographic record
Abstract
OBJECTIVE: To ascertain, in cN0/1 breast cancer patients given primary chemotherapy followed by sentinel node biopsy (SNB), whether SNB alone is adequate axillary treatment if the sentinel nodes (SNs) are clear (pN0). SUMMARY BACKGROUND DATA: 2020 guidelines do not recommend SNB in most cN1 patients with clear SNs after primary chemotherapy because the high SNB false negative rate might lead to poorer outcomes. METHODS: We prospectively assigned SNB after primary chemotherapy to 353 consecutive cT2 cN0/1 patients, median age 47 years (range 22-76) treated from 2007 to 2015. If the SNs were pN0, patients generally received no further axillary treatment (SNB only); if the SNs were pN1, completion axillary dissection (AD) (SNB + AD) was usually performed. Primary outcomes were overall (OS) and disease-free (DFS) survival in SNB only versus SNB + AD patients, assessed by Kaplan-Meier and compared using log-rank test, with use of propensity scores to account for bias due to nonrandom assignment to SNB versus SNB + AD. RESULTS: Median follow-up was 108 months, interquartile range 66 to 136. OS and DFS did not differ significantly between the groups by propensity score- weighted comparison: 10-year OS 89% [95% confidence interval (CI): 81%- 99%] in SNB only patients versus 86% (95%CI: 78%-95%) in SNB + AD patients; 10-year DFS 79% (95%CI: 68%-92%) versus 69% (95%CI: 58%-81%). No SNB-only patient developed axillary failure. CONCLUSIONS: cT2 cN0/1 patients whose SNs are disease-free (pN0) after primary chemotherapy can be offered SNB (with no further axillary treatment if the SNs are negative), irrespective of axillary status beforehand, without affecting OS or DFS.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".