Does Knowledge of the Initial Technique Affect Outcomes after Repeated Breast Reduction?
Bibliographic record
Abstract
BACKGROUND: This article examines outcomes following repeated breast reduction using vertical scar reduction mammaplasty. The results of performing repeated breast reduction in patients for whom operative records were available for the previous breast reduction were compared with those for whom these records could not be obtained. METHODS: A retrospective review of all patients who underwent repeated breast reduction for recurrent symptomatic mammary hypertrophy, inadequate volume reduction during the primary operation, and significant postoperative breast volume asymmetry was performed. RESULTS: Twenty-five patients had repeated breast reduction. The initial technique was known in 13 patients and unknown in 12 patients. The average total reduction per breast (including liposuction) was 658 g (range, 30 to 1150 g). Liposuction was used more often in cases for which the initial technique was unknown (p = 0.000). No patients experienced necrosis of the nipple-areola complex, and there was no significant difference in the complication rates between patients for whom the previous pedicle was known versus those in whom it was unknown (p = 0.220). CONCLUSIONS: Using vertical scar reduction mammaplasty, repeated breast reduction is a safe procedure, even when the initial technique is unknown. A vertically oriented, inferior wedge excision of tissue can be safely excised, irrespective of the initial pedicle. For patients with ptosis in whom the nipple-areola complex needs to be transposed superiorly, a carefully planned and de-epithelialized superior pedicle should be used. In addition, liposuction is an important adjunct to achieve volume reduction, while limiting the amount of dissection during repeated breast reduction. CLINICAL QUESTION/LEVEL OF EVIDENCE: : Therapeutic, IV.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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 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".