Clinical efficacy of CO <sub>2</sub> fractional laser in treating post‐burn hypertrophic scars in children: A meta‐analysis
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
Abstract Objective To evaluate and explore the efficacy of CO 2 fractional laser in treating post‐burn hypertrophic scars in children through Meta‐analysis. Methods English databases (PubMed, Web of Science and The National Library of Medicine), as well as Chinese databases (China National Knowledge Infrastructure and Wanfang Data) were searched. RevMan 5.3 software was used to data analysis. Results A total of 10 pieces of literature were included, involving 413 children. Meta‐analysis showed that: (1) The average Vancouver Scar Scale after surgery was significantly lower than that before surgery [weight mean difference (WMD) = −3.56, 95% confidence interval (CI):−4.53,−2.58, p < 0.001]; (2) After CO 2 fractional laser, pigmentation [WMD = −0.74, 95% CI:−1.10,−0.38, p < 0.001], pliability [WMD = −0.92, 95% CI:−1.20,−0.65, p < 0.001], vascularity [WMD = −0.77, 95% CI:−1.09,−0.46, p < 0.001], height [WMD = −0.57, 95% CI:−0.95,−0.19, p < 0.001] were improved compared with those before surgery. (3) The average Visual Analogue Scale (VAS) after surgery was significantly lower than that before surgery [WMD = −3.94, 95% CI:−5.69,−2.22, p < 0.001]. (4) Both Patient and Observer Scar Assessment Scale (POSAS)‐Observer [WMD = −3.98, 95% CI:−8.44,0.47, p < 0.001] and POSAS‐Patient [WMD = −4.98, 95% CI:−8.09,−1.87, p < 0.001] were significantly lower than those before surgery. (5) Erythema and vesicles were the most common complications after CO 2 fractional laser therapy, with an incidence of 4.09%. Conclusion CO 2 fractional laser is beneficial to the recovery of hypertrophic scar after burn in children, and can effectively improve the scar symptoms and signs in children, with desirable clinical efficacy.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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