Clinical research of early allogeneic acellular dermal matrix on deep burn wound
Bibliographic record
Abstract
Objective To use allogeneic acellular dermal matrix and with the transplantation of autogenous thin thickness skin to repair deep burn wound, and investigate the clinical effect. Methods 18 patients with deep burn wound from December 2011 to April 2013 in the People's Hospital of Gaozhou City were selected and randomly divided into two groups, 9 cases in each group. Patients in observation group were treated by allogeneic acellular dermal matrix and with the transplantation of autogenous thin thickness skin; patients in control group were treated by transplantation of autogenous thin thickness skin. The survival rate of wound, wound condition(blister and burst), joint motion, Vancouver score in 1 and 6 months after treatment of two groups were compared. Results The survival rate of observation group was 88.9%, which was significantly higher than that of control group(66.7%), the difference was statistically significant(χ2=4.192, P=0.01). After 1 month, there was no significant difference in the wound condition(blister and burst), joint motion and Vancouver score of observation group and control group(P 0.05); after 6 month, the wound condition, joint motion and Vancouver score of observation group were obviously better than those of control group, the differences were statistically significant(P 0.05). Conclusion The composite skin grafts with allogeneic acellular dermal matrix and thin thickness skin were using to repair the skin defects of large area deep burn and scar resection, the wound healing well, satisfied with the appearance of the skin function.
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How this classification was reachedexpand
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".