The Safety and efficacy of botulinum toxin type A injection for postoperative scar prevention: A systematic review and 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
BACKGROUND: Active prevention and treatment of scars are particularly important. Several studies have used botulinum toxin type A(BTXA) to prevent postoperative scarring. The aim of this systematic review and meta-analysis was to systematically evaluate the efficacy and safety of BTXA in preventing and treating postoperative scars. METHODS: A computer-based search was conducted for the five databases including PubMed, Cochrane Library, EMBASE, CNKI, and Wanfang up to May 22, 2019, to collect the relevant literatures on BTXA treatment of postoperative hypertrophic scars. A meta-analysis was made with the software of Revman 5.3 based on the study endpoint of scar width, Vancouver Scar Scale (VSS), Visual Analogue Scale (VAS) scores, and patient satisfaction as well. RESULTS: A total of 18 randomized controlled trials (RCTs) studies were included with 915 patients in all. The result showed that, compared with the control group, the scar width, VAS scores, and VSS scores of the BTXA group were significantly improved and higher patient satisfaction was achieved. CONCLUSION: BTXA has a certain curative effect on postoperative scar prevention and treatment without obvious side effects.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.008 | 0.002 |
| 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 it