Study of management of postburn flexion contracture of finger by glabrous versus nonglabrous split skin graft
Bibliographic record
Abstract
Aims and Objectives: This prospective study was designed to determine the outcome of split-thickness glabellar and nonglabellar skin graft for the coverage of defects on palmar aspect of hand after release of postburn contracture in terms of graft take, complications, recurrence, and patient satisfaction for color and texture match. Materials and Methods: This prospective comparative study was carried out on patients from December 2018 to December 2020. Fifty patients were randomly divided into two groups by simple randomization method. Group A was offered treatment with split-thickness graft from glabellar region and other Group B was offered treatment with split-thickness graft from nonglabellar skin. Frequencies and percentages of both recipient and donor sites complications such as infection, hypertrophic scarring on the Vancouver scar assessment scale, recurrence, and difficulty in walking were noted. Patient satisfaction for colour and texture match to neighboring skin at recipient site were assessed 3 months after the operation using five points Likert scale. Results: At follow-up of the Group A, the donor areas were completely healed in all the cases 100%. The grafted area showed excellent color and texture match with the adjacent palmer skin. The graft was mobile, stable and without any pigmentation. There was also no hypertrophic scarring, hyperpigmentation or pain at the donor site as compared to ordinary skin graft. Walking and weight bearing were smooth and the instep curvature appeared normal. In Group B, 100% of patients had hyperpigmentation, 20% had marginal scarring and scar hypertrophy at hand. While 40% had scar hypertrophy at 80% had hyperpigmentation over the donor site. Recurrence was noted in 32% of patients in Group B as compared to 8% in Group A. Conclusions: Glabellar skin of the instep is the best replacement for the palmar skin of the digits and hand because of the similarities in their characteristics. Results are excellent in terms of color and texture match, no hyperpigmentation, less marginal scarring, scar hypertrophy, and less recurrence of contracture in patients with area grafted with glabellar skin. Donor site morbidity is very low and hardly any donor site scar is visible. So in conclusion for the management of postburn flexion contracture of the finger. An ideal skin substitute is glabellar skin grafts from the instep region of foot.
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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 | 0.000 |
| 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".