Functional and Cosmetic Outcome of Full- Versus Split-Thickness Skin Grafts in Pediatric Palmar Surface Burns
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
Palmar hand burns continue to be a common injury in the pediatric population, with long-term implications for function, hand rehabilitation, and psychosocial well-being in a growing child. Debate over the choice of full-thickness skin grafts (FTSG) and split skin grafts (SSG) for optimal subsequent functional and cosmetic outcomes continues. This study prospectively evaluated children who required skin grafting of palmar burns at our institution between January 2008 and December 2009. A clinical assessment of the grafted area and donor site using the Vancouver Scar Scale, together with assessment of sensation, hair growth, and the development of contracture was performed by an independent clinician. Thirty-four (16%) of 214 palm burns that presented to our institution during this period required grafting, of which 26 (77%) agreed to participate in this study. At a mean 13.5 months postsurgery, pliability was significantly enhanced in FTSG compared with SSG (P < .001). Although not statistically significant, vascularity and height of SSGs were preferred. There was no difference in sensation between the two types of graft or donor site outcomes, although hair growth was significantly (P = .002) more prominent in FTSG. There were an equal number of contractures in the two groups, with grafts of either type that extended from the palm onto the volar aspect of digits more commonly affected. These data suggest an improved outcome in children with deep palm burns after FTSG, although with the exception of scar pliability these differences were small.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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 it