Breast reconstruction: Updated overview for primary care physicians.
Bibliographic record
Abstract
OBJECTIVE: To offer primary care providers a comprehensive summary of breast reconstruction options and complications. QUALITY OF EVIDENCE: Levels of evidence range from I to III. MAIN MESSAGE: As breast cancer survival rates increase, the focus of breast cancer management must shift to include the restoration of a patient's quality of life after cancer. Breast reconstruction plays a crucial role in the restoration of normality for these women. Women who undergo mastectomy often suffer from challenges related to body image, self-esteem, and a decrease in quality of life scores. Cancer Care Ontario's Breast Cancer Treatment Pathway Map mandates that all women diagnosed with breast cancer who might require mastectomy be referred to a plastic surgeon to discuss reconstructive options before surgery. CONCLUSION: The knowledge and guidance of primary care providers is critical to effectively guiding and supporting patients who might undergo breast reconstruction in their decision-making processes. A thorough understanding of patient selection factors, modern options for breast reconstruction, and expected outcomes is essential.
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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 | 0.000 | 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) | 0.000 | 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".