Surgical treatment of trapezius palsy: A systematic review
Bibliographic record
Abstract
BACKGROUND: Trapezius palsy results from injury to the spinal accessory nerve. The condition presents with loss of shoulder abduction, pain, and winging of the scapula. Surgical treatment may improve functional outcomes and quality of life. PURPOSE: The purpose of this study was to report and evaluate the clinical outcomes following surgical management of trapezius palsy. STUDY DESIGN: Systematic review. METHODS: The electronic databases EMBASE, MEDLINE, and PubMed were searched for studies and relevant data were abstracted. Only studies reporting on outcomes after the surgical treatments of trapezius palsy were included. RESULTS: A total of 10 studies including 192 patients were included in this review. All surgical interventions resulted in improved function and pain reduction. Patients reported high satisfaction (90-92%) following nerve reconstruction or the Eden-Lange procedure, in comparison to neurolysis. The most common procedure reported was the Eden-Lange muscle transfer (32% reported cases) demonstrating the highest patient satisfaction rates with low complication rate of 7.7%. CONCLUSION: Patients failing conservative treatment report good outcomes following surgical treatment of trapezius palsy. All reported surgical procedures demonstrate reduction in pain the best results from the Eden-Lange muscle transfer. Further high-quality comparative studies are required to make definitive conclusions regarding the comparative efficacy of each surgical procedure.
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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 | 0.003 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.004 |
| Bibliometrics | 0.006 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".