Efficacy and Safety of Ultrasound-Guided Carpal Tunnel Release: A Systematic Review and Meta-Analysis
Bibliographic record
Abstract
BACKGROUND: Carpal tunnel syndrome is the most common upper extremity compression neuropathy, often requiring surgical intervention. Although open carpal tunnel release is effective, it has been associated with greater scarring and morbidity. Ultrasound-guided carpal tunnel release (USCTR) has emerged as a minimally invasive alternative. This systematic review and meta-analysis aimed to evaluate the efficacy and safety of USCTR compared with open techniques. METHODS: PubMed, Embase, ScienceDirect, and the CENTRAL databases were searched for studies describing USCTR with complete transverse carpal ligament release. Risk of bias was performed using the Cochrane risk-of-bias, Newcastle Ottawa, and Joanna Briggs Institute tools. Extracted data included patient demographics, functional outcomes, advanced imaging and nerve conduction metrics, patient-reported outcomes, and complications or reoperations. Meta-analyses were conducted on studies comparing USCTR with open techniques. RESULTS: Forty-three articles were included in this study, with 4097 patients. USCTR demonstrated significant improvements in functional outcomes, nerve conduction metrics, and patient-reported outcomes, exceeding minimal clinically important differences. Meta-analyses revealed no differences in motor latency, sensory conduction velocity, or complication rates between USCTR and open techniques. USCTR patients returned to work 10.15 days earlier ( P = 0.02) and resumed normal activities 21 days earlier ( P < 0.001) compared with open techniques. Complication and reoperation rates for USCTR were 1.57% and 0.34%, respectively. CONCLUSIONS: USCTR is a safe and effective alternative to open techniques, offering comparable outcomes with shorter recovery times and earlier return to work. Large-scale prospective studies should further evaluate its role in the treatment of carpal tunnel syndrome.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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".