Predictors of complications of free flap reconstruction in head and neck surgery: Analysis of 304 free flap reconstruction procedures
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVES: The objectives of this study were to classify and analyze perioperative complications following free flap reconstruction in the head and neck and investigate potential predictors of these complications. METHODS: A retrospective chart analysis of 304 consecutive free flap reconstructions for defects in the head and neck were examined. Patient and operative characteristics as well as complications were recorded prospectively and analyzed using ordinal logistic regression. RESULTS: The overall complication rate was 32.6% with a perioperative mortality rate of 0.3%. The flap loss rate was 2.0% and the partial flap necrosis rate was 1.0%. Multivariate analysis demonstrated a significant correlation between perioperative complication and tumor stage as well as reconstruction site. CONCLUSIONS: The rate and grade of complications with free flap reconstruction in the head and neck were found to be low. Higher tumor stage and pharyngoesophageal reconstruction were found to be associated with increased complication grades, whereas preoperative radiation alone and chemoradiation were not. Smoking and alcohol use, age, diabetes mellitus, peripheral vascular disease, and preoperative myocardial infarction as well as preoperative cerebrovascular accident were not found to be associated with increased complications. No statistically significant difference in complication grades was found with different flap types or indications for reconstruction.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.000 | 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 it