Breast reconstruction following prophylactic or therapeutic mastectomy for breast cancer: Recommendations from an evidence-based provincial guideline
Bibliographic record
Abstract
The side effects of mastectomy can be significant. Breast reconstruction may alleviate some distress; however, there are currently no provincial recommendations regarding the integration of reconstruction with breast cancer therapy. The purpose of the present article is to provide evidence-based strategies for the management of patients who are candidates for reconstruction. A systematic review of meta-analyses, guidelines, clinical trials and comparative studies published between 1980 and 2013 was conducted using the PubMed and EMBASE databases. Reference lists of publications were manually searched for additional literature. The National Guidelines Clearinghouse and SAGE directory, as well as guideline developers' websites, were also searched. Recommendations were developed based on the available evidence. Reconstruction consultation should be made available for patients undergoing mastectomy. Tumour characteristics, cancer therapy, patient comorbidities, body habitus and smoking history may affect reconstruction outcomes. Although immediate reconstruction should be considered whenever possible, delayed reconstruction is acceptable when immediate is not available or appropriate. The integration of reconstruction and postmastectomy radiotherapy should be addressed in a multidisciplinary setting. The decision as to which type of procedure to perform (autologous or alloplastic with or without acellular dermal matrices) should be left to the discretion of the surgeons and the patient after providing counselling. Skin-sparing mastectomy is safe and appropriate. Nipple-sparing is generally not recommended for patients with malignancy, but could be considered for carefully selected patients. Immediate reconstruction requires resources to coordinate operating room time between the general and plastic surgeons, to provide supplies including acellular dermal matrices, and to develop the infrastructure needed to facilitate multidisciplinary discussions.
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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 | 0.016 | 0.048 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.006 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.005 | 0.002 |
| Research integrity | 0.006 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".