Predictors of Contralateral Prophylactic Mastectomy in Women With a <i>BRCA1</i> or <i>BRCA2</i> Mutation: The Hereditary Breast Cancer Clinical Study Group
Bibliographic record
Abstract
PURPOSE: To evaluate the rate of prophylactic contralateral mastectomy in an international cohort of women with hereditary breast cancer and to evaluate the predictors of uptake of preventive surgery. PATIENTS AND METHODS: Women with a BRCA1 or BRCA2 mutation who had been diagnosed with unilateral breast cancer were followed prospectively for a minimum of 1.5 years. Information was collected on prophylactic surgery, tamoxifen use, and the occurrence of contralateral breast cancer. RESULTS: Nine hundred twenty-seven women were included in the study; of these, 253 women (27.3%) underwent a contralateral prophylactic mastectomy after the initial diagnosis of breast cancer. There were large differences in uptake of contralateral prophylactic mastectomy by country, ranging from 0% in Norway to 49.3% in the United States. Among women from North America, those who had a prophylactic contralateral mastectomy were significantly younger at breast cancer diagnosis (mean age, 39 years) than were those without preventive surgery (mean age, 43 years). Women who initially underwent breast-conserving surgery were less likely to undergo contralateral prophylactic mastectomy than were women who underwent a mastectomy (12% v 40%; P < 10(-4)). Women who had elected for a prophylactic bilateral oophorectomy were more likely to have had their contralateral breast removed than those with intact ovaries (33% v 18%; P < 10(-4)). CONCLUSION: Age, type of initial breast cancer surgery, and prophylactic oophorectomy are all predictive of prophylactic contralateral mastectomy in women with breast cancer and a BRCA mutation. The acceptance of contralateral preventive mastectomy was much higher in North America than in Europe.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".