The Use of Free Tissue Transfer with An Anterolateral Thigh Flap for the Treatment of Large Keloids On the Head and Neck
Bibliographic record
Abstract
Keloids are cosmetically, psychologically and functionally debilitating wounds that have proven difficult to treat with surgical excision alone. Large keloids are particularly challenging to treat because many of the current therapies for keloids are unsuitable, and the remaining defect after excision is difficult to close. The authors report a case involving a large disfiguring keloid on the head and neck, which was treated with surgical excision and immediate reconstruction with a free anterolateral thigh fasciocutaneous flap. No further adjuvant therapy was undertaken. At one-year follow-up, there was no recurrence at the recipient site, and the donor site healed without deformity. The free fasciocutaneous anterolateral thigh flap may be effective at treating large keloids in the head and neck region; however, well-controlled clinical studies are needed to establish this.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".