Flexion Crease and Web Space Reconstruction for Aesthetic and Functional Correction of Congenital Syndactyly
Bibliographic record
Abstract
Purpose: To investigate the efficacy of congenital syndactyly correction with flexion crease and web space reconstruction using a dorsal hourglass-shaped flap without skin graft. Methods: We studied 116 syndactylies in 96 patients. Surgical strategy focused on flexion crease and web space reconstruction using an hourglass-shaped dorsal advancement flap. We assessed for flap necrosis, height and width of the webs according to the criterion of D’Arcangelo, and total active digital motion compared with the normal side. Scar formation was measured by the Vancouver Scar Scale score. We also administered a parent-based satisfactory questionnaire. Results: Mean follow-up was 4.2 years. All syndactylies could be corrected without skin grafts. Dorsal flap plasty facilitated the reconstruction of commissure with a slope of 45° in an hourglass shape. Two cases encountered partial flap loss but healed without surgical intervention. There were no recurrences. According to the criterion of D’Arcangelo, the height and width of 98 webs were good, 16 webs were fair, and 2 webs were poor. Mean total active motion of the index, middle, ring, and little fingers of the affected side was 160, 158, 153, and 150, respectively. Mean Vancouver Scar Scale score was 1.4. After surgery, all parents were satisfied with the appearance and function of the separated fingers. Conclusions: Reconstruction of the flexion crease and web space simultaneously with an hourglass-shaped dorsal advancement flap can achieve good aesthetic and functional outcomes.
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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 | 0.000 | 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".