A Comparison of Complication Rates in Large and Small Inferior Pedicle Reduction Mammaplasty
Bibliographic record
Abstract
The main objective of this retrospective study was to determine whether the rates of complications are higher in large reductions (> or =1000 g per breast) as compared with smaller reductions (< or =999 g per breast) using the inferior pedicle technique. A retrospective chart review of 133 consecutive patients operated on between October of 2000 and March of 2002 was undertaken. Complication data were recorded and analyzed on a per-breast basis. Two hundred sixteen breasts had reductions of 999 g or less, whereas 50 breasts had reductions of 1000 g or more. The overall mean follow-up period was 152 days (range, 20 to 522 days). There were no statistically significant differences in the rates of nipple necrosis, hematoma formation, seroma, delayed healing, culture-positive wound infection, fat necrosis, cyst formation, nipple sensation, or hypertrophic scarring between the large and small reductions. However, the rate of wound dehiscence was significantly lower in the smaller reduction group. The rates of wound dehiscence and hypertrophic scarring were also significantly lower in patients who had received at least 5 days of postoperative antibiotics. A statistically significant difference was also reported for clinical wound infection (p < 0.0005). Body mass index had no statistically significant effect on the rate of nipple necrosis, hematoma formation, fat necrosis, cyst formation, nipple sensation, or hypertrophic scarring. However, body mass index had a statistically significant effect on delayed healing, wound dehiscence, and culture-positive wound infection. A higher mean body mass index predicted a delayed healing, wound dehiscence, and infection. The inferior pedicle technique is a safe method of breast reduction regardless of degree of parenchymal resection. However, the use of postoperative antibiotics for at least 5 days is recommended to reduce rates of wound dehiscence and improve postoperative scarring.
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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 | 0.001 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| 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".