Retrospective study on the effectiveness of punch drilling combined with superficial X-ray radiotherapy and intralesional drug injection for keloid treatment
Bibliographic record
Abstract
Background: Keloids, pathological scars with complex etiology including genetic predisposition and trauma, remain a therapeutic challenge due to high recurrence rates. This study intends to conduct a retrospective study on the patients who received punch drilling therapy for keloid in our hospital to provide a new method and objective basis for the treatment of keloid. Methods: A retrospective analysis of 13 patients (20 keloids) treated at Dermatology Hospital of Southern Medical University was conducted. Outcomes were assessed using Vancouver Scar Scale (VSS) and Visual Analogue Scale (VAS) scores preoperatively and scar image data were collected, alongside complication rates and patient satisfaction surveys. Results: < 0.001). Postoperative complications were minimal, with 95 % of patients reporting marked improvement in scar appearance and satisfaction. Conclusion: The combination of punch drilling, adjuvant radiotherapy, and intralesional steroids injection demonstrates high efficacy in keloid treatment, characterized by low invasiveness, rapid recovery, and reduced recurrence. This protocol provides a promising strategy for refractory keloid management.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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) | 0.001 | 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".