Predictors of uptake of contralateral prophylactic mastectomy in women with nonhereditary breast cancer
Bibliographic record
Abstract
BACKGROUND: The rates of contralateral prophylactic mastectomy (CPM) are increasing in women with breast cancer. Previous retrospective research has examined clinical and demographic predictors of the uptake of CPM. However, to the authors' knowledge, there has been very little prospective research to date that has examined psychosocial functioning prior to breast cancer surgery to determine whether psychosocial functioning predicts uptake of CPM. The current study was conducted to evaluate demographic, clinical, and psychosocial predictors of the uptake of CPM in women with unilateral breast cancer without a BRCA1 or BRCA2 mutation. METHODS: Women with unilateral non-BRCA-associated breast cancer completed questionnaires prior to undergoing breast cancer surgery. Participants completed demographic and psychosocial questionnaires assessing anxiety, depression, cancer-related distress, optimism/pessimism, breast satisfaction, and quality of life. Pathological and surgical data were collected from medical charts. RESULTS: A total of 506 women consented to participate, 112 of whom (22.1%) elected to undergo CPM. Age was found to be a significant predictor of CPM, with younger women found to be significantly more likely to undergo CPM compared with older women (P < .0001). The rate of CPM was significantly higher in women with noninvasive breast cancer compared with those with invasive breast cancer (P < .0001). Women who elected to undergo CPM had lower levels of presurgical breast satisfaction (P = .01) and optimism (P = .05) compared with women who did not undergo CPM. CONCLUSIONS: Psychosocial functioning at the time of breast cancer surgery decision making impacts decisions related to CPM. Women who have lower levels of breast satisfaction (body image) and optimism are more likely to elect to undergo CPM. It is important for health care providers to take psychosocial functioning into consideration when discussing surgical options.
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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) | 0.001 | 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 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".