Report from the OMERACT Hand Osteoarthritis Special Interest Group: Advances and Future Research Priorities
Bibliographic record
Abstract
Osteoarthritis (OA) is one of the most common musculoskeletal disorders, frequently affecting the hands. In the last decade there has been increased awareness concerning this disorder because of its clinical burden. Unfortunately, only limited treatments for symptom alleviation are available, and no effective treatment for disease modification exists. The lack of treatment is due not only to a lack of understanding of the disease process, but also to poor outcome measures to assess the condition. The OMERACT Hand OA Special Interest Group (SIG) has started to develop a core set of outcome measures for hand OA clinical trials, observational studies, and clinical record keeping. At OMERACT 11, results from a Delphi exercise were presented, and a preliminary set of core domains was discussed. The group attempted to adopt the new OMERACT Filter 2.0 in the process, and literature overviews of conventional radiographs, ultrasonography, and magnetic resonance imaging as outcome measures in hand OA were presented. Discussions that followed highlighted further suggestions for core domains, the heterogeneity of hand OA, and future research priorities.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.021 | 0.009 |
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".