Comparing the Effects of Mitomycin-C and Triamcinolone-Acetonide Injections on Hypertrophic Scars and Keloids in Burn Patients
Why this work is in the frame
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Bibliographic record
Abstract
Background: Hypertrophic scars (HTS) and keloids are the proliferative responses of the fibroblastic. Surgical excision lead to changes, but postoperative recurrence rate seems to be still high. The topical use of mitomycin C (MMC) has been thus documented to suppress fibroblast proliferation. We aimed to investigate the effects of MMC injection on HTS and keloids in burn wounds, and compare the results with intralesional Triamcinolone Acetonide (TAC) injection in with regard to scar size reduction. Methods: This randomized clinical trial was conducted on 90 burn patients (divided into two groups) with hypertrophic scars and keloids at Taleghani Burn Hospital, Ahvaz, Iran, in 2023. Patients were randomly assigned to receive intralesional MMC (0.4 mg/dL) or TAC (0.4 mg/dL). Scar characteristics were assessed pre- and post-treatment using the Vancouver Scar Scale (VSS) over six months. Results: The average size of the scars at the pre- and post-intervention stages was 15.71 and 4.81 mm. No significant difference was observed between both groups. Effect of MMC was over and above TAC. There was a significant difference between both groups. Significant difference was found between the Vancouver Scar Scale (VSS) mean scores before and after the intervention, so the TAC value was greater than that of MMC, and the scores at the pre- and post-intervention stages were significantly different. Conclusion: MMC and TAC were considered as effective methods for HTS and keloid management. In spite of this, the VSS scores and the scar size denoted that MMC was much more effective in the treatment of such scars than TAC.
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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 | 0.000 | 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) | 0.000 | 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