Anterior Transposition Compared with Simple Decompression for Treatment of Cubital Tunnel Syndrome
Bibliographic record
Abstract
BACKGROUND: There is currently no consensus on the optimal operative treatment for cubital tunnel syndrome. The objective of this meta-analysis of randomized, controlled trials was to evaluate the efficacy of simple decompression compared with that of anterior transposition of the ulnar nerve in the treatment of this condition. METHODS: Multiple databases were searched for randomized, controlled trials on the outcome of operative treatment of cubital tunnel syndrome in patients who had not previously sustained trauma or undergone a surgical procedure involving the elbow. Two reviewers abstracted baseline characteristics, clinical scores, and motor nerve-conduction velocities independently. Data were pooled across studies, standard mean differences in effect sizes weighted by study sample size were calculated, and heterogeneity across studies was assessed. RESULTS: We identified four randomized, controlled trials comparing simple decompression with anterior ulnar nerve transposition (two submuscular and two subcutaneous). In three studies that included a total of 261 patients, a clinical scoring system was used as the primary clinical outcome. There were no significant differences between simple decompression and anterior transposition in terms of the clinical scores in those studies (standard mean difference in effect size = -0.04 [95% confidence interval = -0.36 to 0.28], p = 0.81). We did not find significant heterogeneity across these studies (I(2) = 34.2%, p = 0.22). Two reports, on a total of 100 patients, presented postoperative motor nerve-conduction velocities; they showed no significant differences between the procedures (standard mean difference in effect size = 0.24 [95% confidence interval -0.15 to 0.63] in favor of simple decompression, p = 0.23; I(2) = 0%, p = 0.9). CONCLUSIONS: The results of this meta-analysis suggest that there is no difference in motor nerve-conduction velocities or clinical outcome scores between simple decompression and ulnar nerve transposition for the treatment of ulnar nerve compression at the elbow in patients with no prior traumatic injuries or surgical procedures involving the affected elbow. Confidence intervals around the points of estimate were narrow, which probably exclude the possibility of clinically meaningful differences. These data suggest that simple decompression of the ulnar nerve is a reasonable alternative to anterior transposition for the surgical management of ulnar nerve compression at the elbow.
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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 | 0.007 | 0.015 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.010 | 0.019 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".