Comparison of the Short-Term and Long-Term Effects of Surgery and Nonsurgical Intervention in Treating Carpal Tunnel Syndrome: A Systematic Review and Meta-Analysis
Bibliographic record
Abstract
Background: The objective of the study is to examine the short-term and long-term efficacy of surgical treatment of carpal tunnel syndrome (CTS) compared with conservative treatment (ie, splint, steroid injection, or physical therapy). Methods: Two reviewers searched the Cochrane Central Register of Controlled Trials, MEDLINE, EMBASE, and PEDro up to September 2017. Quality appraisal and data extraction were performed in duplicate. Patient self-reported functional and symptom changes, as well as improvement of electrophysiological studies, were assessed as outcomes. Meta-analyses were performed in RevMan. Results: From 1438 studies identified after searching, 10 remained for analysis after exclusion criteria were applied. Moderate-quality evidence indicated that surgical interventions were superior to splint or steroid injection at 6 months with a weighted mean difference of 0.25 (95% confidence interval [CI], 0.07-0.44) for functional status and 0.64 (95% CI, 0.07-1.21) for symptom severity. The surgical group had better nerve conduction outcomes at 6 months (0.57 [95% CI, 0.05-0.50] ms). No significant differences were observed at 3 or 12 months. Conclusions: Both surgical and conservative interventions provide treatment benefits in CTS. Further studies on long-term outcome are needed.
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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 | 0.012 | 0.029 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.021 | 0.025 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".