Complications in a Consecutive Series of 250 Free Flap Operations
Bibliographic record
Abstract
In Brief The purpose of this study was to determine the rate of major and minor flap, donor site, and systemic complications in a consecutive series of 250 free flap operations. The following factors were analyzed to determine their significance on complication rates: age of patient, gender, wound etiology, smoking history, type of flap, operative time, vein graft use, surgeon experience, and the presence of comorbid disease. The major flap, donor-site, and systemic complication rates were 17.2%, 2%, and 6.4%, respectively. The minor flap, donor-site, and systemic complication rates were 7.2%, 12.8%, and 7.2%, respectively. The presence of comorbid medical condition was the only factor which had a statistically significant impact on the rate of major flap complications (P = 0.02). Age and comorbid disease impacted on major systemic complications (P = 0.04). A review of 250 consecutive free transfers disclosed major flap complications in 17.2%, major donor site complications in 2%, and systemic complications in 6.4%. The only factor associated with an increase in major flap complications was the presence of a comorbid medical condition.
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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 | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 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".