Predictors of outcomes of carpal tunnel release
Bibliographic record
Abstract
OBJECTIVE: To identify factors that are predictive of the outcomes of greatest importance to patients-i.e., symptom relief, functional improvement, and satisfaction with the outcomes of surgery-following carpal tunnel release. METHODS: We analyzed data from the Maine Carpal Tunnel Study, a community-based study of the outcomes of treatment for carpal tunnel syndrome. In a cohort of patients who underwent carpal tunnel release, a preoperative physical examination was performed and questionnaires were completed preoperatively and at 6, 18, and 30 months postoperatively. The questionnaires assessed symptom severity, upper extremity functional limitations, mental health, general physical health status, the relative severity of individual symptoms, satisfaction with the results of surgery, sociodemographic factors, and for those subjects who were in the workforce, aspects of the work environment. The associations between preoperative factors and the 3 principal outcomes (symptom severity, upper extremity functional limitations, and satisfaction with the results of surgery, all evaluated at 18 months postoperatively) were assessed with bivariate and multivariate linear regression and logistic regression analyses. RESULTS: Two hundred forty-one subjects were enrolled and 188 (78%) completed followup surveys 18 months postoperatively. Two-thirds of the patients reported being completely or very satisfied with the outcomes of surgery at 6, 18, and 30 months postoperatively. A range of clinical and work-related variables were associated with outcomes. In multivariate analyses, greater preoperative upper extremity functional limitation was predictive of greater functional limitations postoperatively. Worse mental health status was significantly associated with more severe symptoms and lower satisfaction. Alcohol use was also associated with more severe symptoms and lower satisfaction. Among workers, involvement of an attorney was significantly associated with greater functional limitation, more severe symptoms, and lower satisfaction. Recipients of worker's compensation who did not hire an attorney had generally good outcomes. Of note, physical examination parameters were not predictive of the outcomes of surgery. CONCLUSION: The outcomes of carpal tunnel release in community-based practices are excellent. Predictors of the outcomes of surgery are disease-specific and generic clinical factors as well as work-related factors. The strongest predictors of less favorable outcomes are worse scores on patient-reported measures of upper extremity functional limitation and mental health status, alcohol use, and the involvement of an attorney. Clinicians should carefully evaluate patients' functional status, mental health status, health habits, and attorney involvement prior to performing carpal tunnel release, and discuss with patients the prognostic implications of these parameters.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".