Outcomes of V-Y Dorsal Metacarpal Artery Perforator Flap for Web Space Reconstruction in Simple Syndactyly
Bibliographic record
Abstract
Background: New web space formation is the most challengingin the treatment of syndactyly, and the choice of theideal reconstructive technique is still controversial. Syndactylyrepairs using skin grafts increase the risk of graft-related complications.The V-Y dorsal metacarpal artery perforator flap offersa method of syndactyly release that can eliminate the needfor skin grafts. In this study to allow for further progress ofthe flap, we guarantee free dissection of the dorsal metacarpalvessels.Objective: To evaluate the outcomes of simple syndactylyweb space reconstruction with V-Y dorsal metacarpal arteryperforator flap.Method: Surgically treated 14 patients diagnosed withsimple syndactyly were included in the study. Postoperativeresults were clinically evaluated by two independent surgeonsas regards early postoperative infection, hematoma, congestion,flap necrosis, and long-term results such as web creep < br />grade, finger deformity, Vancouver scar scale (VSS), contracture,range of motion, and parents “or patients” visual analoguescale (VAS) for aesthetic satisfaction.Results: All 14 flaps survived well apart from two flapsthat showed distal tip necrosis. All cases had normal MCPrange of motion, and only two cases had extension lag. Flexiondeformity was found in two cases only. As regards web creep,seven cases developed web creep grade I, five cases were gradeII, and two cases were grade III. The total median value ofthe scar quality on the Vancouver Scar scale (VSS) was 5.43[range 4-7]. The average total satisfaction of patients/caregiverswas 8.14 [range 5-10].Conclusion: The V-Y dorsal metacarpal artery perforatorflap is a reliable option for web space reconstruction in simplesyndactyly.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".