Clinical study on autologous split-thickness skin graft combined with photodynamic therapy for the treatment of keloid in the female pubic region
Bibliographic record
Abstract
OBJECTIVE: Keloid, marked by abnormal fibroblast activity and excessive collagen buildup, presents a therapeutic challenge due to their high recurrence rates. The pubic region, a sensitive anatomical area, is rarely discussed in keloid treatment literature. Our study demonstrates that autologous split-thickness skin grafting combined with topical photodynamic therapy(PDT) effectively prevents the recurrence of keloids in pubic region by radically eliminating inflammation and inhibiting fibroblast proliferation. METHODS: This study retrospectively analyzed 32 keloid patients treated with autologous split-thickness skin grafting and photodynamic therapy (surgery+PDT group) and compared them to a control group of 29 patients who underwent surgery alone (surgery only group). The improvement rate was evaluated at baseline (month 0) and at a 12-month follow-up (month 12) using the modified Vancouver Scar Scale (mVSS) and the Patient and Observer Scar Assessment Scale (POSAS) RESULTS: The study involved 61 patients. Both treatment groups exhibited significant enhancements in mVSS and POSAS scores; however, the combination therapy group showed a statistically significant improvement in POSAS scores at 12 months compared to the surgery-only group. CONCLUSION: Patients receiving both surgery and PDT showed a significantly higher improvement rate compared to those undergoing surgery alone.
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How this classification was reachedexpand
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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".