Outcome of the acellular dermal matrix and split thickness skin graft in release of post burn contractures in hand.
Bibliographic record
Abstract
Objective: To determine the frequency of success of acellular dermal matrix and split thickness skin graft in release of post burn contractures in hand using Vancouver scar scale. Study Design: Descriptive Case Series. Setting: Department of Plastic Surgery, Jinnah Burn and Reconstructive Surgery Center, Lahore. Period: 1st March, 2019 to 30th October, 2019. Material & Method: A descriptive case series conducted at Plastic Surgery Department, Jinnah Burn and Reconstructive Surgery Center, Lahore. A sample size of 75 patients, who full filled the inclusion criteria, was selected through non probability consecutive sampling Informed consent was obtained from all the patients. Pre-operative photography was done to compare the post-operative results. After the release of contractures, coverage with acellular dermis and split thickness skin graft was performed. All the patients were followed up to 2 months and the outcome was assessed by Vancouver Scar Scale. The collected data was entered and analyzed by using SPSS version 20. Descriptive statistics were calculated. Quantitative variables like age, size of scar were presented as mean, ± standard deviation. Qualitative variables were presented as frequencies and percentages. Results: Mean age of patient was 30 ± 9 years. Among them 40 were males and 35 females. Vancouver scale showed successful outcome (score ≤4) in 70.66 % of the patients. Partial release of contracture was the major complication seen in 5.33% of cases. Conclusion: Acelluar dermal matrix followed by split thickness skin graft is a very reliable option for coverage after release of post-burn contractures in hand as it provides very pliable, thin and lax skin with good color match and better contour to surrounding tissue.
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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 | 0.001 | 0.001 |
| 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 | 0.001 |
| 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 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".