Functional and aesthetic outcomes of abdominal full‐thickness skin grafts in paediatric postburn digital and palmar flexion contractures
Bibliographic record
Abstract
The study aimed to assess the functional and aesthetic outcomes of abdominal full-thickness skin grafts (FTSGs) in paediatric postburn digital and palmar flexion contractures. The digital and palmar functions and aesthetics of 50 children who met the criteria were evaluated at pre-operation, the 3rd- and 12th-month post-operation, respectively. In the evaluation, the Vancouver Scar Scale (VSS), total active movement (TAM), and Jebsen-Taylor Hand Function Test (JHFT) were used. The contralateral, unaffected hand served as the criteria for functional recovery. The complications of donor sites were observed, and the take rate of skin grafts was calculated. The VSS scores at the 3rd and 12th months post-operation were lower than those before the operation. The TAM of each finger was improved at the 3rd and 12th months post-operation, compared with that before the operation. There was a significant difference in the time to complete the JHFT between the affected hand and the unaffected at the 3rd month post-operation, but no significant difference between them at the 12th month post-operation. The excellent and good take rate of the skin grafts was 90.00%.No donor site complications were observed. The abdominal FTSGs are effective in repairing paediatric digital and palmar scar contractures, with satisfying functional and aesthetic results, especially in large defects after scar release and resection.
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.
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 | 0.001 | 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 | 0.000 |
| 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 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".