The views of ovarian cancer survivors on its cause, prevention, and recurrence.
Bibliographic record
Abstract
METHODS: Women who had survived ovarian cancer without further treatment, active disease, or recurrence for at least 2 years were surveyed by mail. RESULTS: Two hundred (67.8%) ovarian cancer survivors, who had been recurrence free for a mean of 7.2 +/- 4.9 years, responded. The cause of ovarian cancer was attributed to stress (63.5%), diet (39.0%), genes (36.5%), environment (32.5%), hormones (30.0%), sex life (11.0%), and smoking (9.5%). They attributed their lack of cancer recurrence to positive attitude (82.5%), close medical follow-up (82.0%), healthy lifestyle (69.0%), prayer (68.0%), stress reduction (66.5%), diet (63.0%), and exercise (58.5%). Overall, 45% of women thought their recurrence risk was below average, 28.5% average, 23% above average, and 3.5% reported that they did not know their particular risk. Although 35.5% of women reported that they hardly ever thought of cancer recurrence, 28% thought of it at least monthly, 24.5% at least weekly, and 12% at least daily. Almost half (43.5%) of the women had bad dreams related to their cancer experience, and 25% of these women reported the dreams had a negative effect on their sense of well-being. Over half (62.5%) reported high to extreme anxiety at the time of cancer check-ups, but 47% were not afraid of what their futures held for them. However, 12% were very afraid of dying of ovarian cancer, and 5% were "constantly afraid of dying." Most women reported healthy behaviors with respect to not smoking (95.5%), balanced diet (92.0%), and regular exercise (65.0%). Of note was that 82% took vitamins or other supplements. CONCLUSION: Healthcare providers should be aware that the personal beliefs held by ovarian cancer patients and survivors about cancer cause and recurrence prevention may be at variance with scientific evidence. This may assist in framing the ongoing management of patients in personally meaningful ways, which may increase adherence to a healthy lifestyle, engender a sense of control, and improve quality of life.
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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 | 0.005 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".