Differences in Preoperative Health-Related Quality of Life between Women Receiving Mastectomy or Breast Conserving Surgery in a Prospectively Recruited Cohort of Breast Cancer Patients
Bibliographic record
Abstract
As rates of total mastectomy rise, the relationships between surgery modality with domains of health-related quality of life is not well understood. This study reports differences in depression, anxiety, pain, and health status among a cohort of women scheduled to receive total mastectomy or breast-conserving surgery. Patient-reported outcomes measured preoperative differences between patients receiving total mastectomy or breast-conserving surgery in a cross-sectional design. Regression analyses was used to model health outcomes and adjust for patient demographics on patient measures. Participants scheduled for total mastectomy were more likely to report more severe symptoms of depression and anxiety. This association was non-significant after adjusting for demographic differences. Younger participants were more likely to be scheduled for total mastectomy. Age was negatively associated with symptoms of depression and anxiety. Screening patients for mental health symptoms may be particularly important among younger patients who were more likely to report depression and anxiety before their surgery and were more likely to receive total 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 | 0.002 |
| 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 | 0.000 | 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".