Inflammatory Characteristics on Ultrasound Predict Poorer Longterm Response to Intraarticular Corticosteroid Injections in Knee Osteoarthritis
Bibliographic record
Abstract
OBJECTIVE: To assess whether inflammation on ultrasound is predictive of clinical response to intraarticular (IA) corticosteroid injections in patients with knee osteoarthritis (OA). METHODS: Patients with symptomatic knee OA were randomized to receive either an IA injection of 40 mg triamcinolone acetonide in the treatment group or 1 cc 0.9% saline in the placebo group. Clinical response was assessed by changes in baseline Western Ontario and McMaster Universities (WOMAC) index scores and physician global assessment at 4 and 12 weeks. Ultrasounds were performed at each visit. Patients and assessors were blinded to treatment status. RESULTS: Seventy-nine patients were enrolled into the study. Four-week data were available for 67 patients in the primary analysis comparing change in WOMAC pain score from baseline to 4 weeks. There was almost no change in the WOMAC pain subscale score from baseline to 4 weeks in the control group, but there was a significant improvement in WOMAC pain subscale score from 10.8 (SD +/- 3.2) at baseline to 8.75 (SD +/- 4.0) at 4 weeks in the treatment group (adjusted p = 0.001). Of the 34 patients in the treatment group; 16 (47%) had inflammatory disease and 18 (53%) had noninflammatory disease as determined by ultrasound. There was no difference in the change in WOMAC pain score between the inflammatory and noninflammatory patients in the treatment group at 4 weeks. There was a statistically significant greater improvement in pain subscale scores among noninflammatory patients than among inflammatory patients at 12 weeks. CONCLUSION: Intraarticular corticosteroid injections are an effective short-term treatment for symptomatic knee OA compared to placebo. Patients with noninflammatory characteristics on ultrasound had a more prolonged benefit from IA corticosteroids compared to inflammatory patients.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".