Safety of vaginal oestrogens for genitourinary symptoms in women with breast cancer
Bibliographic record
Abstract
BACKGROUND: Oestrogen deprivation is the mainstay of treatment for women with hormone receptor-positive breast cancer, but unfortunately it causes multiple side effects that can significantly impair quality of life. Genitourinary symptoms are very common and although these symptoms can be effectively managed with vaginal oestrogens, concerns about their safety in women with breast cancer limits their use. OBJECTIVE: The aim of this review is to provide a summary of the data on the safety of vaginal oestrogens in women with breast cancer to help general practitioners advise their patients in this situation. DISCUSSION: Although there are no large randomised prospective studies to assess safety, the current evidence suggests reassurance can be provided to the majority of women with a history of breast cancer considering vaginal oestrogens. Consultation with the oncology team is advised for women taking aromatase inhibitors, where the safety of vaginal oestrogens is less certain.
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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".