Patient Self-Assessment of the Cosmetic Results of Breast Reconstruction
Bibliographic record
Abstract
BACKGROUND: In a previous study, the authors evaluated factors that contribute to patient satisfaction with breast reconstruction, using a comprehensive chart review and questionnaire. The results of part of this questionnaire, regarding patients' rating of the cosmetic result of their breast reconstruction, are presented in this article. METHODS: The questionnaire was mailed to 267 patients, 214 questionnaires (80.1 percent) were returned, and 200 contained a response to the question rating the overall cosmetic outcome of breast reconstruction (Fig. 1). To conduct a statistical analysis, the data were collapsed into two smaller groups. An "excellent" or "good" result was considered a "favorable" outcome, while lower responses were "unfavorable" outcomes. RESULTS: The outcome was rated as excellent by 82 patients, good by 76 patients, fair by 31 patients, and poor by 11 patients. A significant association was found between overall cosmesis and breast size, shape, or scars. CONCLUSION: It should not be assumed that patients' responses regarding satisfaction with reconstruction will reflect their specific feelings regarding cosmetic results.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.004 | 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".