Ultrasonography findings in knee osteoarthritis: a prospective observational cross-sectional study of 100 Patients
Bibliographic record
Abstract
Introduction: Worldwide, knee osteoarthritis (KOA) accounts for 2.2% of total years lived with disability. There is low correlation between joint tissue damage and pain intensity. Periarticular structures may be involved and cannot be identified in X-rays. Objectives: To describe the main ultrasonography (USG) changes in symptomatic patients with primary KOA; to correlate number of USG findings with KOA severity assessed by Kellgren and Lawrence (K&L) radiological scores, with pain intensity measured by a visual analogue scale (VAS) and with functioning scores assessed with Timed up and go test (TUG) and Western Ontario and McMaster Universities (WOMAC) questionnaire. Methods: 100 patients with primary symptomatic KOA were assessed with X-ray and USG. Quantitative and qualitative analyses were evaluated in a systematic manner. Results: The most frequent findings were joint effusion, pes anserinus bursitis, quadriceps tendon enthesopathy, popliteal cyst, iliotibial band tendinitis and patellar tendinitis. Pearson’s correlation analysis demonstrated a significant moderate positive association between VAS scores and number of USG findings (r=0.36; p<0.0001). The number of USG findings was different between K&L grades I and III (p=0.041), I and IV (p<0.001), and II and IV (p=0.001, ANOVA with Bonferroni correction). There was significant association between number of USG findings and TUG (r=0.18; p=0.014) and WOMAC scores for pain (r=0.16; p<0.029) and physical function domains (r=0.16; p<0.028). Conclusion: The most frequent USG finding was joint effusion. Periarticular structures should be explored as potential sources of pain and disability.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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".