Should Urogenital Atrophy in Breast Cancer Survivors Be Treated with Topical Estrogens?
Bibliographic record
Abstract
Abstract Learning Objectives After completing this course, the reader will be able to: Describe the urogenital consequences of antiestrogen treatment among women with a prior diagnosis of breast cancer and the effects that these side effects have on quality of life and medication compliance.Advise on the standard treatment of urogenital atrophy, including alternatives to topical estrogen replacement, in the non–breast cancer and breast cancer populations.Evaluate the evidence for the current recommendations of estrogen replacement therapy among women with a prior diagnosis of breast cancer. CME Access and take the CME test online and receive 1 AMA PRA Category 1 Credit™ at CME.TheOncologist.com Breast cancer survivors represent a unique patient population with a high prevalence of menopausal symptoms. Given the improved longevity of cancer patients, the consequences of menopause have become an increasingly important and challenging management issue. To date, considerable attention has been paid to the management of menopausal vasomotor symptoms and bone health among breast cancer patients. As a result, numerous nonhormonal treatment options have been developed for the management of these issues. The treatment of urogenital symptoms among this population is poorly understood and relatively understudied. Although systemic or topical estrogen replacement is the most effective method for treating hypoestrogenemic urogenital symptoms, women with a prior diagnosis of breast cancer are cautioned from taking exogenous estrogens in order to avoid a potential contribution to recurrent breast cancer risk. This review focuses on the urogenital consequences of estrogen deprivation therapy in breast cancer patients and provides practitioners with a simple guide of current and future strategies for managing these symptoms.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".