Clinicopathologic factors of the recurrent tumor predict outcome in patients with ipsilateral breast tumor recurrence
Bibliographic record
Abstract
BACKGROUND: The role of clinicopathologic characteristics of the recurrent tumor in determining survival in a cohort of patients with ipsilateral breast tumor recurrence (IBTR) was investigated. METHODS: Among 6020 women with pT1-T2, pN0-1, M0 treated with breast-conserving surgery from 1989 to 1999, 269 developed isolated IBTR. Ten-year Kaplan-Meier breast cancer-specific survival (BCSS) and overall survival (OS), calculated from date of IBTR, were analyzed according to clinicopathologic characteristics. RESULTS: Factors that were associated with diminished OS and BCSS on univariate analysis were: time to IBTR ≤48 months, lymphovascular invasion positive status, estrogen receptor (ER) negative status, high grade, clinical IBTR detection, biopsy alone, and close/positive margins (all P < .05). On multivariate analysis, time to IBTR ≤48 months (hazard ratio [HR], 1.87, P = .012), lymphovascular invasion positive status (HR, 2.46; P < .001), ER negative status (HR, 2.08; P = .013), high-grade recurrent disease (HR, 1.88; P = .013), and close/positive margins after surgery for IBTR (HR, 1.94; P = .013) retained significance for prediction of diminished OS. When stratified according to number of adverse prognostic features, 10-year OS was 70.4% in patients with 1 factor, 35.8% with 2 factors, and 19.9% with 3 or more factors (P < .001). CONCLUSIONS: Time to recurrence ≤48 months, lymphovascular invasion positive status, ER negative status, high-grade histology, and close/positive margins in association with the recurrent tumor are independent prognostic factors for survival after IBTR. The presence of 2 or more of these features at recurrence is significantly associated with poor OS. These criteria can be used to prognosticate and guide clinical decisions after recurrence.
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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".