Impact of fertility preservation by ovarian stimulation on breast cancer outcomes.
Bibliographic record
Abstract
e21588 Background: Chemotherapy and hormone therapy results in potential ovarian toxicity and delay in child-bearing among women of reproductive age with breast cancer. Whether short term ovarian stimulation is safe is not well studied. We examined the effects of short-term ovarian stimulation on patients’ breast cancer recurrence rates. Methods: Women diagnosed with localized breast cancer between 2005 and 2011 at any one of five cancer centres and referred to a reproductive endocrinologist in British Columbia, Canada, were identified from a central database. Clinical, pathological, treatment, and outcome characteristics were compared for patients who did and did not undergo ovarian stimulation prior to systemic cancer treatment. Results: Seventy-seven patients were included: median age was 33, all were ECOG 0/1, 31 (40%) had lymph node involvement, 62 (81%) had estrogen receptor (ER) positive disease, and 18 (23%) had HER2 positive disease. Thirty-four (44%) women underwent ovarian stimulation: they were more likely to receive chemotherapy than patients who declined ovarian stimulation (p = 0.001). Age, number of existing children, radiation, and hormonal treatments were not significantly associated with decision to undergo ovarian stimulation (p > 0.05). After a median follow-up of 3.7 years, 7 (21%) patients who pursued ovarian stimulation and 9 (21%) patients who did not experienced disease recurrence. There was no association between ovarian stimulation and rate of local or distant breast cancer recurrence (p = 0.658). Conclusions: We did not find a harmful effect of short term ovarian stimulation on breast cancer recurrence rates. Limitations include short follow-up, a small sample size, and few relapses. Patients who received chemotherapy were more likely to pursue ovarian stimulation, suggesting that patients were well informed about the negative impact on fertility of chemotherapy and of the importance of fertility preservation prior to potentially gonado-toxic treatments.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.003 | 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".