Reconstruction of Type IIIB Thumb Hypoplasia Using a Vascularized Hemi-Metatarsal Composite Tissue Flap
Bibliographic record
Abstract
BACKGROUND: The aim of this study was to determine the clinical outcomes of vascularized hemi-metatarsal composite tissue transfer for the reconstruction of type IIIB hypoplastic thumbs. METHODS: Twenty-eight patients with type IIIB hypoplastic thumbs treated with vascularized hemi-metatarsal composite tissue transfer were included in this retrospective study with a mean follow-up of 2.4 years. Preoperative digital subtraction angiography was performed to examine the vessel variance. Clinical measures included grip and pinch strength, scar status, and Kapandji thumb opposition score. Subjective Pediatric Outcomes Data Collection Instrument scores and parent satisfaction were also evaluated. RESULTS: Radial arteries were hypoplastic in 82.1% of the cases, and the common palmar digital artery was chosen as the recipient vessel for the tissue transfer. There was no neurovascular complication. The only donor-site complication was a metatarsal fracture that healed with casting. Key pinch and tripod pinch were 29.5% and 45.8% of the normal side, respectively. The mean grip strength was 51.7% of the unaffected side. The mean Kapandji score was 6. The Pediatric Outcomes Data Collection Instrument scores were high for global function; upper extremity function; transfer; and basic mobility, happiness, and comfort. The Vancouver Scar Scale showed an average score of 2.1. All parents were satisfied with the clinical outcomes. CONCLUSION: Vascularized hemi-metatarsal composite tissue transfer for type IIIB thumb hypoplasia can provide improved subjective outcomes and is a feasible method for the attainment of a five-digit hand. CLINICAL QUESTION/LEVEL OF EVIDENCE: Therapeutic, IV.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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".