Treatment of postburn hypertrophic scaring in skin of color with fractional CO2 laser - A prospective 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
Objective To evaluate the efficacy of fractional CO2 laser therapy in treating mature hypertrophic burn scars. Method A prospective cohort study enrolled burn patients with postburn hypertrophic scars undergoing fractional CO2 laser treatment in Rawalpindi, Pakistan. Patients aged 12 to 80 years were included, receiving 4 laser sessions every 4-6 weeks. Demographic data and scar assessments using the Vancouver Scar Scale and Patient Observer Scar Assessment Scale were collected. Results Twenty-five patients with hypertrophic scars received treatment. Vancouver Scar Scale scores showed significant reductions, with improvements in scar vascularity (pre: 0.85 ± 1.085, post: 0.10 ± 0.300, P < .001), pigmentation (pre: 2.44 ± 0.673, post: 2.12 ± 0.900, P = .008), and pliability (pre: 2.29 ± 1.078, post: 1.39 ± 0.997, P < .001). Patients with Fitzpatrick skin types III and IV had notable Vancouver Scar Scale score improvements ( P = .013, P < .001). Patient Observer Scar Assessment Scale scores also decreased significantly post-treatment ( P < .001). Conclusion Fractional CO2 laser therapy shows promise in managing mature hypertrophic burn scars, with improvement in scar appearance, functionality, and symptom relief. Stratification by Fitzpatrick skin type highlights the need for further research to optimize treatment strategies, particularly in populations with darker skin tones. This study underscores the importance of further longitudinal studies on burn scars to enhance outcomes for all burn survivors.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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