The clinical and cost effectiveness of splints for thumb base osteoarthritis: a randomized controlled clinical trial
Bibliographic record
Abstract
OBJECTIVES: To investigate the clinical effectiveness, efficacy and cost effectiveness of splints (orthoses) in people with symptomatic basal thumb joint OA (BTOA). METHODS: A pragmatic, multicentre parallel group randomized controlled trial at 17 National Health Service (NHS) hospital departments recruited adults with symptomatic BTOA and at least moderate hand pain and dysfunction. We randomized participants (1:1:1) using a computer-based minimization system to one of three treatment groups: a therapist supported self-management programme (SSM), a therapist supported self-management programme plus a verum thumb splint (SSM+S), or a therapist supported self-management programme plus a placebo thumb splint (SSM+PS). Participants were blinded to group allocation, received 90 min therapy over 8 weeks and were followed up for 12 weeks from baseline. Australian/Canadian (AUSCAN) hand pain at 8 weeks was the primary outcome, using intention to treat analysis. We calculated costs of treatment. RESULTS: We randomized 349 participants to SSM (n = 116), SSM+S (n = 116) or SSM+PS (n = 117) and 292 (84%) provided AUSCAN Osteoarthritis Hand Index hand pain scores at the primary end point (8 weeks). All groups improved, with no mean treatment difference between groups: SSM+S vs SSM -0.5 (95% CI: -1.4, 0.4), P = 0.255; SSM+PS vs SSM -0.1 (95% CI: -1.0, 0.8), P = 0.829; and SSM+S vs SSM+PS -0.4 (95% CI: -1.4, 0.5), P = 0.378. The average 12-week costs were: SSM £586; SSM+S £738; and SSM+PS £685. CONCLUSION: There was no additional benefit of adding a thumb splint to a high-quality evidence-based, supported self-management programme for thumb OA delivered by therapists. TRIAL REGISTRATION: ISRCTN 54744256 (http://www.isrctn.com/ISRCTN54744256).
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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 | 0.012 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.004 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 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".