Multimodal care for the management of musculoskeletal disorders of the elbow, forearm, wrist and hand: a systematic review by the Ontario Protocol for Traffic Injury Management (OPTIMa) Collaboration
Bibliographic record
Abstract
BACKGROUND: Musculoskeletal disorders of the elbow, forearm, wrist and hand are associated with pain, functional impairment and decreased productivity in the general population. Combining several interventions in a multimodal program of care is reflective of current clinical practice; however there is limited evidence to support its effectiveness. The purpose of our review was to investigate the effectiveness of multimodal care for the management of musculoskeletal disorders of the elbow, forearm, wrist and hand on self-rated recovery, functional recovery, or clinical outcomes in adults or children. METHODS: We conducted a systematic review of the literature and best evidence synthesis. We searched MEDLINE, EMBASE, CINAHL, PsycINFO, and the Cochrane Central Register of Controlled Trials from January 1990 to March 2015. Randomized controlled trials, cohort studies, and case-control studies were eligible. Random pairs of independent reviewers screened studies for relevance and critically appraised relevant studies using the Scottish Intercollegiate Guidelines Network criteria. Studies with a low risk of bias were synthesized following best evidence synthesis principles. RESULTS: We screened 5989 articles, and critically appraised eleven articles. Of those, seven had a low risk of bias; one addressed carpal tunnel syndrome and six addressed lateral epicondylitis. Our search did not identify any low risk of bias studies examining the effectiveness of multimodal care for the management of other musculoskeletal disorders of the elbow, forearm, wrist or hand. The evidence suggests that multimodal care for the management of lateral epicondylitis may include education, exercise (strengthening, stretching, occupational exercise), manual therapy (manipulation) and soft tissue therapy (massage). The evidence does not support the use of multimodal care for the management of carpal tunnel syndrome. CONCLUSIONS: The current evidence on the effectiveness of multimodal care for musculoskeletal disorders of the elbow, forearm, wrist and hand is limited. The available evidence suggests that there may be a role for multimodal care in the management of patients with persistent lateral epicondylitis. Future research is needed to examine the effectiveness of multimodal care and guide clinical practice. SYSTEMATIC REVIEW REGISTRATION NUMBER: CRD42014009093.
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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 | 0.051 | 0.097 |
| Meta-epidemiology (narrow) | 0.004 | 0.003 |
| Meta-epidemiology (broad) | 0.019 | 0.013 |
| Bibliometrics | 0.021 | 0.026 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.005 | 0.006 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.019 | 0.002 |
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".