Rapid enzymatic burn debridement: A review of the paediatric clinical trial experience
Bibliographic record
Abstract
NexoBrid (NXB) has been proven to be an effective selective enzymatic debridement agent in adults. This manuscript presents the combined clinical trial experience with NXB in children. Hundred and ten children aged 0.5 to 18 years suffering from deep thermal burns of up to 67% total body surface area were treated with NXB in three clinical trials. Seventy-seven children were treated with NXB in a phase I/II study, where 92.7% of the areas treated achieved complete eschar removal within 0.9 days from admission. Thirty-three children (17 NXB, 16 standard of care [SOC]) participated in a phase III randomized controlled trial. All wounds treated with NXB achieved complete eschar removal. Time to complete eschar removal (from informed consent) was 0.9 days for NXB vs 6.5 days for SOC (P < .001). The incidence of surgical excision was 7.9% for NXB vs 73.3% for SOC (P < .001). Seventeen of these children participated in a phase III-b follow-up study (9 NXB and 8 SOC). The average long-term modified Vancouver Scar Scale scores were 3.4 for NXB-treated wounds vs 4.4 for SOC-treated wounds (NS). There were no significant treatment-related adverse events. Additional studies are needed to strengthen these results.
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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 | 0.011 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".