FCT 1-1 : Secondary intention healing after conservative surgery of nail unit melanoma in situ: An analysis of healing time and outcomes
Bibliographic record
Abstract
Background: Secondary intention healing (SIH) after conservative surgery for nail unit melanoma in situ (NUMIS) can be a useful reconstructive method. However, the healing process and recovery time has not been sufficiently reported. Objectives: To investigate course after SIH with functional surgery for NUMIS Methods: We analyzed 10 patients with NUMIS treated by conservative surgery and SIH in our institution from January 2015 to June 2018. We evaluated healing time, functional outcome, cosmetic outcome, and patient’s subjective satisfaction and complication. Results: Median age was 51 (range: 28-69) years old. Seven patients were female. Seven patients had fingernail involvement. Granulation tissue coverage over phalangeal bone completed in 3.7±2.4 weeks (mean±SD). Re-epithelialization achieved in 10±2.7 weeks. Mean Quick-Disabilities of the Arm, Shoulder and Hand (DASH) score was 9.4±6.2. Foot Function Index (FFI) score was 1.3±2.3. Mean Vancouver Burn Scar Assessment Scale (VBSAS) score was 4.5±1.4. Patient’s subjective global satisfaction was median 8 (range: 7-10). Conclusion: Our data suggest that SIH is a good reconstructive method after conservative surgery of NUMIS.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".