Synovitis scoring in hand osteoarthritis with ultrasonography: the performance of the Global OMERACT/EULAR Ultrasound Synovitis Score (GLOESS) is comparable to synovial thickening alone
Bibliographic record
Abstract
BACKGROUND: Inflammation is increasingly recognised as a treatment target in hand osteoarthritis, and therefore correct measurement of local inflammation is essential. This study aimed to assess ultrasound scoring of synovitis and the additional value of the Global OMERACT/EULAR Ultrasound Synovitis Score (GLOESS) in hand osteoarthritis. METHODS: Data from the randomised, double-blinded Hand Osteoarthritis Prednisolone Efficacy (HOPE) trial were used. The HOPE trial included patients with painful, inflammatory hand OA, treated with prednisolone or placebo (1:1). Ultrasound was performed in 30 hand joints at weeks 0, 6 and 14. Effusion, synovial thickening and Doppler signal were measured, the GLOESS was calculated from the latter two. Joint tenderness on palpation was assessed semiquantitatively (0-3), soft swelling as present/absent. Changes in ultrasound scores, and their association with change in joint tenderness or soft swelling, were investigated using generalised estimating equations. Effect sizes were calculated. RESULTS: Of 92 included patients 79% were women, with mean (SD) age 63.9 (8.8) and body mass index 27.2 (4.6). Synovial thickening was the most prevalent. All ultrasound scores were strongly associated with joint tenderness and soft swelling cross-sectionally. There was no association of change in ultrasound scores with change in tenderness, but there was with change in soft tissue swelling. Synovial thickening and the GLOESS responded to treatment (effect size -0.39 (-0.72 to -0.07), -0.39 (-0.71 to -0.07), respectively). DISCUSSION: Various ultrasound scores were associated with joint tenderness and soft swelling. The GLOESS and synovial thickening were both responsive to treatment, but GLOESS was not superior to synovial thickening alone.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".