Functional and Aesthetic Comparison between Grafts and Local Flaps in Non-Melanoma Skin Cancer Surgery of the Face: A Cohort Study
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
Background: Non-melanoma skin cancers represent more than 90 % of malignant skin tumors, with an incidence of 19.46 cases/100,000 people per year in Italy; however, their real incidence is underestimated. Although there are several therapeutic strategies, the only one that can guarantee a 95 % healing rate and the possibility of performing histological examination is surgical excision with subsequent reconstruction of the injured area with direct closure and with skin graft, local, regional, or free flaps in cases involving greater damage. Material and Methods: Fifty-four patients underwent post-oncological head/face reconstructive surgery with skin graft or local flap between November 2021 and February 2023. The aesthetic outcomes (and the subsequent impact on the patients' lives) were assessed using the Vancouver Scar Scale, Manchester Scar Scale, and Visual Analog Scale with scars ranked by three independent surgeon observers. Results: Patients who received reconstruction with local flaps demonstrated improved aesthetic and functional satisfaction, as well as improved aesthetic evaluation by independent surgeons. Conclusions: The use of local flaps permits a more pleasing reconstruction (functionally and aesthetically) of post-oncological tissue defects of the face.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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