Predictors of Quality of Life in Women with a Bilateral Prophylactic Mastectomy
Bibliographic record
Abstract
The purpose of this study was to assess the quality of life in women who had previously undergone a bilateral prophylactic mastectomy and to determine what factors predict quality of life in this population. Women in Ontario who had undergone prophylactic mastectomy between 1991 and 2000 were asked to complete several questionnaires that assessed current psychosocial functioning, including the Quality of Life Index (QLI). The mean score for the QLI was 23.34 (range 9.53-30.00). QLI scores were negatively correlated with cancer-related distress, body image difficulties, and psychological distress. Conversely, QLI scores were positively correlated with social support. Significant predictors of quality of life included psychological distress and one subscale of body image (vulnerability). Vulnerability and psychological distress are important predictors of quality of life in women who have previously undergone bilateral prophylactic mastectomy.
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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 | 0.000 | 0.003 |
| 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) | 0.001 | 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".