Cancer treatmentinduced menopause: Meaning for breast and gynecological cancer survivors
Bibliographic record
Abstract
Many cancer survivors are faced with irreversible changes resulting from cancer treatment. One such change some women face after cancer is treatment-induced menopause. Eight women (four with breast and four with gynecological cancers) were interviewed to explore the impact of treatment-induced menopause on their lives. Results indicated that participants' understanding and coping with menopause occurred within the larger context of the total cancer experience. For some of the women, menopause was not a significant problem; for others, the symptoms caused major distress and were a continuing reminder of the losses suffered due to cancer. Important concerns for all participants were: taking and keeping control, the desire to return to "normal" after cancer, and maintaining a coherent sense of self. Strong statements were also made about the power of knowing and the power of support in coping with treatment-induced menopause. Findings are discussed with implications for nursing practice.
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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 | 0.001 | 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) | 0.005 | 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 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".