A COMPARATIVE STUDY BETWEEN COLLAGEN & SIMPLE PARAFFIN DRESSING APPLIED ON SKIN GRAFT DONOR SITE WITH SPECIAL EMPHASIS ON VANCOUVER SCAR SCALE AND PATIENT & OBSERVER SCAR ASSESSMENT SCALE (POSAS
Bibliographic record
Abstract
BACKGROUND \nSplit skin grafting (SSG) is a commonly performed surgical procedure. Ideal donor site scar should be soft, supple, and flat with \nnormal pigmentation. Collagen sheets have been used as a donor site dressing which comes close to being called an ideal donor \nsite dressing. \nThe objective of the study was to compare effect of collagen and simple paraffin dressing on wound healing and scar \nformation on skin graft donor site. \nMATERIALS AND METHODS \nThis is a comparative study, based on inclusion and exclusion criteria with a sample size of 30 patients, study carried out in \npatients posted for skin grafting in Department of Surgery, M.G.M Medical College and M.Y. Hospital, Indore, by dividing the \ndonor site wound into medial half and lateral half by doing half dressing with collagen and other half by simple liquid paraffin \nand assess the scar at 21st day and compare the scar healing by Vancouver Scar Scale and Patient and Observer Scar Assessment \nScale (POSAS). \nRESULTS \nWound healing is better with collagen when compared to simple paraffin dressing as a material for donor site wound. Significant \nreduction in pain (p-value= 0.007) and pruritus (p-value= 0.001) in patients with collagen dressing was noted on post op day \n21. \nCONCLUSION \nCollagen application to donor site wound (DSW) is better than simple paraffin dressing in relation to early wound healing with \nbetter scar results and patient comfort. \n
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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 | 0.000 |
| 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) | 0.000 | 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".