Utility of ultrasonography in guiding modification of disease modifying anti‐rheumatic drugs and steroid therapy for inflammatory arthritis in routine clinical practice
Bibliographic record
Abstract
OBJECTIVE: To determine the utility of ultrasonography in guiding modification of disease-modifying anti-rheumatic drug (DMARD) and steroid therapy for inflammatory arthritis (IA) in routine clinical practice. METHODS: In this retrospective study, we analyzed DMARD and steroid use in IA patients referred to a rheumatologist-led ultrasound clinic. Power Doppler (PD) vascularity and greyscale (GS) synovial hypertrophy joint findings were categorized as positive/negative for each patient. The erythrocyte sedimentation rate (ESR) was used as a measure of disease activity. RESULTS: We assessed single visit data for 46 adult IA patients: 67.4% (n = 31) rheumatoid arthritis (RA), 15.2% (n = 7) psoriatic arthritis, 10.9% (n = 5) spondyloarthritis, and 6.5% (n = 3) undifferentiated IA. The mean ESR was 28.8 mm/h. Thirty-seven patients with both GS and PD ultrasound results were subsequently analyzed. All patients (n = 10) escalated and/or initiated on DMARD and 9/10 patients escalated or initiated on steroids were PD and GS positive. Six of seven patients with dose reduction and/or cessation of DMARDs and five of seven patients with dose reduction or cessation of steroids were PD negative. Of six patients who were GS positive and PD negative, three had dose reduction and/or cessation of DMARDs, while four had dose reduction of steroids; none of the six patients had DMARD/steroid escalation. CONCLUSION: By clarifying joint inflammation in an IA cohort with overall low ESR, ultrasonography of physician-selected joints can improve clinical assessment, resulting in treatment modification. Positive PD findings were particularly influential, while the clinical significance of GS positivity alone requires further investigation.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".