Reconstructive Surgery in a Patient with High Radial Nerve Palsy Using the WALANT Technique
Bibliographic record
Abstract
Tendon transfers can be tied too tight or too loose. Both impede good function after surgery. Performing tendon transfers without sedation and pain during the surgery and then watching the patient move the transfer have helped us adjust the tension more accurately. This method can be applied to complex transfers such as radial nerve palsy triple tendon transfers. We describe the technique and results of a triple tendon transfer using wide-awake local anesthesia no tourniquet in a patient with a high radial nerve palsy. This was a complex case of reconstruction after five operations at the level of the humerus. This left him with a pseudoarthrosis of the humerus and a complete radial nerve palsy. We performed tendon transfers of pronator teres to extensor carpi radialis brevis, flexor carpi ulnaris to extensor digitorum communis, and palmaris longus to extensor pollicis longus tendons. Eighteen months after the triple tendon transfer surgery for the radial nerve palsy, the patient has good extension of the fingers, wrist, and thumb. He can open and close the hand properly. He has excellent function and mobility allowing him to perform most activities in a manner that is practically normal. Wide-awake local anesthesia no tourniquet can be used safely and successfully in complex cases requiring triple radial nerve tendon transfers of pronator teres to extensor carpi radialis brevis, flexor carpi ulnaris to extensor digitorum communis, and palmaris longus to extensor pollicis longus tendons.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".