Analysis of Reporting Return to Work in Studies Comparing Open with Endoscopic Carpal Tunnel Release: A Review of Randomized Controlled Trials
Bibliographic record
Abstract
BACKGROUND: In studies comparing open with endoscopic carpal tunnel release, return to work (RTW) is often cited as a primary outcome. OBJECTIVE: The present study assessed the reporting of RTW and evaluated its usefulness in studies comparing these two methods of carpal tunnel release. METHODS: A computerized search was conducted to find randomized controlled trials that compared open with endoscopic carpal tunnel release, with RTW as an outcome measure. The factors that were compared across the studies included definition of RTW, units quantifying RTW, measures of hand function, patients' type of employment, worker's compensation or insurance status, patients' handedness, unilateral or bilateral carpal tunnel release, and use of rehabilitation. RESULTS: Fifteen studies met the inclusion criteria for the present systematic review. Of the 15 studies reviewed, there were seven definitions of RTW. All studies defined whether the patients underwent unilateral or bilateral carpal tunnel release but there was variability in the calculation of RTW when bilateral releases were performed. The impact of worker's compensation or insurance, type of work, handedness and rehabilitation were inconsistently addressed as factors affecting RTW. CONCLUSIONS: Although RTW ideally reflects function and recovery, it is inadequately measured and reported. The present review revealed that, in studies comparing open carpal tunnel release with endoscopic carpal tunnel release, there is lack of uniformity in reporting RTW, which may contribute to the inconclusive results for RTW. Future research needs to ensure that RTW is used in a consistent manner.
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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 | 0.091 | 0.349 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.022 | 0.026 |
| Bibliometrics | 0.017 | 0.015 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.005 | 0.004 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".