Efficacy of treatments and pain management for trapeziometacarpal (thumb base) osteoarthritis: protocol for a systematic review
Bibliographic record
Abstract
INTRODUCTION: The thumb is essential for daily activities. Unfortunately, this digit is commonly affected by trapeziometacarpal osteoarthritis (TMO), handicapping a large number of individuals. TMO constitutes an increasing human and economic burden for our society whose population is ageing. Limited access to adequate treatment is among the most important obstacles to optimal TMO management. Poor understanding of TMO characteristics, lack of knowledge about evidence-based treatments, simplistic pain management plans based solely on the patient's physical condition, absence of interprofessional communication and lack of multidisciplinary treatment guidelines contribute to inadequate TMO management. On the long term, our research project aims at improving the quality of care and services offered to patients with TMO by developing a patient-centred, evidence-based multidisciplinary management clinical pathway coordinated across the healthcare system. This proposed systematic review is a prerequisite to ensuring evidence-based practices and aims to document the efficacy of all the existing modalities for TMO management. METHODS AND ANALYSIS: The protocol of the systematic review is registered with PROSPERO and will be conducted using the guidelines Cochrane Handbook for Systematic Reviews of Interventions. We will identify studies in English and French concerning TMO treatments through searches in Cochrane Central, EMBASE, MEDLINE, PsychINFO, CINHAL, PubMed, OT Seekers, PEDRO and the grey literature. 2 reviewers will independently screen study eligibility, extract data and appraise studies using published assessment tools. Meta-analyses will be undertaken where feasible; otherwise, narrative syntheses will be carried out. The robustness of evidence will be assessed using the GRADE system. ETHICS AND DISSEMINATION: Ethics approval is not required for this study. A comprehensive knowledge exchange and transfer plan incorporating effective strategies will be used to disseminate the findings of this review and utilise them to optimise TMO management. TRIAL REGISTRATION NUMBER: PROSPERO CRD42015015623.
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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 | 0.070 | 0.075 |
| Meta-epidemiology (narrow) | 0.006 | 0.004 |
| Meta-epidemiology (broad) | 0.016 | 0.020 |
| Bibliometrics | 0.010 | 0.010 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.005 | 0.005 |
| Research integrity | 0.007 | 0.006 |
| Insufficient payload (model declined to judge) | 0.043 | 0.005 |
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".