Patient Satisfaction with Physician Discussions of Treatment Impact on Fertility, Menopause and Sexual Health among Pre-menopausal Women with Cancer
Bibliographic record
Abstract
PURPOSE: Pre-menopausal women with cancer are at risk of therapy-associated infertility, premature menopause, and sexual dysfunction. However, it is unknown whether oncologists adequately address these risks during treatment planning. We conducted a study to evaluate physician-patient discussions addressing the impact of cancer treatment and actual treatment effects on fertility, menopause status, and general sexual health. METHODS: A questionnaire was administered in four oncology clinics specializing in breast, gynecologic, general hematology-oncology, and blood and marrow transplantation (BMT) cancer care at a single institution. Eligible participants were pre-menopausal at the time of diagnosis and either actively receiving or within 24 months from completion of treatment. Participants completed the questionnaire at enrollment and at 1-year follow-up. RESULTS: Of the 104 eligible women, a majority were satisfied with the quality (68%) and length (66%) of reproductive health discussions, with the highest satisfaction levels in the gynecologic cancer clinic (85%) and the lowest levels in the BMT clinic (53%). Fertility preservation was desired by 20% of women, including some >40 years old. Women were more interested in discussing treatment impact on menopause status and sexual health than fertility. Rates of discussions on treatment impact on sexual health were low despite 77% of women reporting severe sexual dysfunction at 1-year follow-up. CONCLUSIONS: One-third of women are dissatisfied with the quality and length of discussions regarding the impact of cancer treatment on reproductive health. There is notably inadequate counseling on the effect of treatment on fertility in women > 40 and on sexual function in all women. Oncologists must offer better resources and improve communication on the effect of treatment on reproductive health to pre-menopausal women with cancer.
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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 | 0.003 | 0.012 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".