Immediate Thumb Extension following Extensor Indicis Proprius???to???Extensor Pollicis Longus Tendon Transfer Using the Wide-Awake Approach
Bibliographic record
Abstract
BACKGROUND: The elective use of low-dose epinephrine in hand surgery has allowed for the performance of simple operative procedures with tourniquet-free pure local anesthesia (the wide-awake approach). The absence of general anesthesia or sedation has, in turn, allowed for the observation of how quickly the sensorimotor cortex adapts following procedures such as tendon transfer. METHODS: Seven patients underwent a wide-awake transfer of the extensor indicis proprius to the extensor pollicis longus between February of 2002 and May of 2005 for restoration of thumb extension using local lidocaine with epinephrine alone. One of the seven patients experienced rupture of the initial transfer, necessitating transfer of the extensor carpi radialis longus to the extensor pollicis longus using the wide-awake approach. RESULTS: All seven patients were able to extend their thumbs fully by means of extensor indicis proprius intraoperatively immediately following transfer suture placement. Restoration of function was not ablated by loss of proprioception or visual feedback. At a mean follow-up of 15 months, thumb extension was restored to within normal limits in the affected thumb, with a slight decrease in grip and tripod pinch strength. CONCLUSIONS: The wide-awake approach has allowed the authors to adjust tendon transfer tension with active movement before skin closure without the risks associated with general or regional anesthesia. In addition, it has allowed them to observe immediate cortical adaptation in the context of a simple tendon transfer. The authors hypothesize that the brain's ability to immediately use extensor indicis proprius for thumb extension stems from the activation of preexisting synergistic cortical finger movement programs.
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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) | 0.000 | 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 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".