Are There Any Correlations Between Social and Hand Functions in Patients with Carpal Tunnel Release Surgery Postoperatively?
Bibliographic record
Abstract
BACKGROUND: Carpal tunnel syndrome is one of the most common and disabling work injuries in North America. Patients with carpal tunnel syndrome are often associated with substantial productivity loss and cost both at work and at home. Several studies have examined the relationship of social supports as a predictor of returning to work following carpal tunnel release surgery (CTRS). However, no studies published to date have examined the relationship between social support and the ability to perform activities of daily living after having CTRS. OBJECTIVE: To examine whether a correlation exists between the degree of social support and hand function in terms of the ability to perform activities of daily living in patients who have had CTRS. METHODS: Patients in the present cross-sectional study were evaluated with two standardized questionnaires at least two months postoperatively following CTRS. The questionnaires consisted of the Multidimensional Scale of Perceived Social Support, which evaluated social support, and QuickDASH, which evaluated hand function. A correlation analysis was then performed to identify any relationships between the two questionnaires. RESULTS: In a sample of 20 patients, correlation analyses revealed that perceived social support was significantly associated with hand function scores postoperatively (r=-0.73, P<0.01). In addition, a statistically significant relationship existed between social support and the preoperative self-rating pain scores (r=-0.51, P<0.05). These results indicate that there is a strong association between the degree of social support and the ability to perform hand activities of daily living following CTRS.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".