Healing time of radial forearm free flap donor sites after preoperative tissue expansion: randomized controlled trial.
Bibliographic record
Abstract
OBJECTIVE: The objective of this study is to test the hypothesis that using a simple and inexpensive preoperative tissue expansion device for radial forearm free flap donor sites will result in a significant reduction in healing time and reduced postoperative pain compared to unexpanded radial forearm free flap donor site skin. METHODS: Twenty-nine patients were enrolled and randomized to either the treatment (tissue pre-expansion) or the control group. An intention-to-treat analysis was used. Healing time was recorded for all patients. The Short Form McGill Pain Questionnaire was used to record arm pain and overall surgical pain 1 week postsurgery. RESULTS: The mean (95% CI) healing time was 5.7 (3.9-7.6) days for the treatment group and 32.5 (12.2-53.0) days for the control group (p < .001). Overall surgical pain (p < .001) was significantly lower in the treatment group. There was no significant difference in donor site arm pain (p < .2). CONCLUSION: Using a simple, noninvasive method of preoperative tissue expansion results in both clinically and statistically significant reductions in healing time and postoperative pain.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".