Relation of osteopontine levels in plasma and synovial fluid of patients with knee osteoarthritis to magnetic resonance imaging findings of the knee joint
Bibliographic record
Abstract
Objective: to detect the levels in plasma and synovial fluid osteopontine (OPN) in patients with primary osteoarthritis (OA) and their relation to progressive joint damage as detected by plain radiography, Magnetic Resonance Imaging (MRI) and its impact on both functional status and disease severity. Design: 60 patients with primary knee OA and 60 healthy controls were included. Functional status was assessed using Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), pain was assessed using Visual Analogue Scale (VAS). Kellgren-Lawrence grading scale (KL) was used to assess radiological severity. MRI using magnetic resonance imaging osteoarthritis knee score (MOAKS score), levels of plasma and synovial fluid OPN were measured. Results: Mean synovial fluid and plasma OPN of OA patients was 218.4 ± 37.7 and 136.67 ± 35.1. Plasma OPN was significantly higher in OA than control (p<0.0001). Significant positive correlation between serum and synovial OPN in OA patients (r=0.8, p<0.0001). Significant positive correlation between synovial fluid OPN and patients' age, disease duration, VAS, WOMAC, KL scale and parameters of MOAKS score. Significant positive correlation between plasma OPN and body mass index (BMI), VAS, WOMAC and KL scale parameters of MOAKS score. OPN level were significantly higher in grade ӀV KL than other grades. Synovial fluid OPN and bone marrow lesion (BML) score were the determining predictors for the function status (p=0.003) for both and severity (p=0.004, p<0.0001). Plasma and synovial OPN show high specificity and sensitivity in relation to BML score as parameter of activity and cartilage loss score as parameter of chronicity. Conclusion: Plasma and synovial fluid OPN correlated with the clinical features, functional status, radiological features of Knee OA and severity MOAKS score. Synovial OPN can predict both functional impact and radiological severity in patients with knee OA.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".