Associations Between Ultrasound‐Detected Synovitis, Pain, and Function in Interphalangeal and Thumb Base Osteoarthritis: Data From the Nor‐Hand Cohort
Bibliographic record
Abstract
OBJECTIVE: To explore whether ultrasound-detected gray-scale synovitis and power Doppler activity in the interphalangeal and first carpometacarpal (CMC1) joints are associated with pain and physical function in patients with hand osteoarthritis (OA). METHODS: A total of 290 patients with hand OA underwent an ultrasound examination of the bilateral interphalangeal and CMC1 joints. Using logistic regression analyses with generalized estimating equations, we examined whether grade 0-3 gray-scale synovitis and power Doppler activity were associated with pain in the same joint. Using linear regression analyses, we examined whether the degree of inflammation was associated with numeric rating scale and Australian/Canadian (AUSCAN) Osteoarthritis Hand Index hand pain, AUSCAN physical function, and grip strength scores. Analyses were made separately for interphalangeal and CMC1 joints, and adjusted for age, sex, body mass index, psychosocial factors, use of analgesics, and presence of osteophytes. RESULTS: At joint level, increasing gray-scale synovitis severity was associated with higher odds of pain upon palpation in both the interphalangeal (grade 2-3; odds ratio [OR] 3.17 [95% confidence interval (95% CI) 2.35, 4.28]) and CMC1 joints (grade 2-3; OR 4.40 [95% CI 2.10, 9.24]). Similar associations were found for power Doppler activity and joint pain in the previous 24 hours and 6 weeks. Power Doppler activity in CMC1 was also related to overall hand pain/physical function and lower grip strength. CONCLUSION: Inflammation in both the interphalangeal and CMC1 joints was associated with pain in the same joint. However, associations with hand pain, reduced physical function, and lower grip strength were only present for inflammation in the CMC1 joints, suggesting that lowering CMC1 inflammation is an important treatment target.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".