Factors affecting surgical decision-making in carriers of BRCA1/2 pathogenic variants undergoing risk-reducing surgery at a dedicated hereditary ovarian cancer clinic
Bibliographic record
Abstract
OBJECTIVE: Women with germline BRCA1/2 pathogenic variants have a significantly elevated lifetime risk of ovarian and fallopian tube cancer. Bilateral salpingo-oophorectomy (RRSO) is associated with a 90% reduction in the development of tubal and ovarian cancer. At our tertiary hospital, we have a dedicated clinic where women predisposed to hereditary ovarian/tubal cancer receive counseling on reproduction, risk reduction, surgical prophylaxis, and menopausal aftercare. The objective of this study was to evaluate the choices that Canadian women with BRCA1/2 pathogenic variants make regarding ovarian cancer risk reduction within this highly specialized multidisciplinary clinic. METHODS: This retrospective chart review included all women with confirmed BRCA1/2 mutations referred to the Familial Ovarian Cancer Clinic at Women's College Hospital, Toronto, Canada over a 45-month time period. Patient demographics, preoperative consultation notes and investigations, intraoperative findings, and pathology were recorded. RESULTS: A total of 191 women were included in our cohort; 140 (73.3%) underwent risk-reducing surgery and 51 (26.7%) deferred or declined surgery. In women who underwent surgical prevention (median age 45 [30-72] y), 123 (87.9%) underwent RRSO and 17 (12.1%) chose a risk-reducing bilateral salpingectomy with deferred oophorectomy. Of the women undergoing RRSO, 11 (8.9%) women chose concurrent hysterectomy. Prevalent themes affecting decision-making included fears around premature surgical menopause, family planning, and concerns around development of endometrial cancer related to tamoxifen. CONCLUSION: Women with BRCA1/2 pathogenic variants face challenging decisions regarding risk reduction and care providers must be knowledgeable and supportive in helping women make informed and individualized choices about their care.
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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 | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.003 | 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 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".