Relation of interleukin-15 with the severity of primary knee osteoarthritis
Bibliographic record
Abstract
Interleukin-15 (IL-15) is a proinflammatory cytokine. IL-15 could be considered a potential biomarker for primary knee osteoarthritis (OA). This study aimed to assess the serum level of IL-15 in primary knee OA patients and assess its relation to clinical severity, functional disabilities, and radiological grading of knee OA. This study included 40 patients with primary knee OA and 40 apparently healthy individuals. Assessment of knee OA was performed using clinical examination, the Western Ontario and McMaster Universities Osteoarthritis Index score, and Health Assessment Questionnaire-Disability Index. Radiological assessment was performed using the Kellgren–Laurence grading scale. Serum level of IL-15 was measured in both patients and control participants. There were no statistically significant differences between patients and the control group in sex (P=1.000) and age (P=0.247). The patient group had a statistically significantly higher serum IL-15 level than its level in the control group (P≤0.0001). Serum IL-15 level was significantly higher among patients with knee joint line tenderness and effusion (P≤0.0001). There were statistically significant positive correlations between serum IL-15 level with the Western Ontario and McMaster Universities Osteoarthritis Index total score (P≤0.0001), the Health Assessment Questionnaire-Disability Index score (P≤0.0001), and the Kellgren–Laurence grading scale (P≤0.0001). Serum IL-15 is elevated and correlated positively with pain, stiffness, functional disabilities, as well as radiological damage in primary knee OA. This suggests that IL-15 plays an important critical role in the pathogenesis of primary knee OA-related pain, stiffness, and joint damage. IL-15 might be a potential biomarker for assessing the severity of primary knee OA.
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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 | 0.000 |
| 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) | 0.000 | 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".