Association of suprapatellar pouch effusion with knee pain and serum IL-6, IL-17, IL-23 in patients with knee osteoarthritis
Bibliographic record
Abstract
Objective To explore the association of suprapatellar pouch effusion with knee pain and serum levels of interleukin (IL)-6, IL-17, IL-23 in patients with knee osteoarthritis measured by magnetic resonance imaging (MRI). Methods 204 patients with knee osteoarthritis were enrolled into the study. Suprapatellar pouch effusion was measured by OSIRIS in both grade (0-3) and maximum area (cm2). Serum IL-6, IL-17, IL-23 were measured. Knee pain was assessed by Western Ontario and McMasters osteoarthritis index (WOMAC) questionnaire and Lequesne index. Characteristics of patients were recorded and body mass index (BMI) was calculated. Student t test or Chi-square test was used to compare means or proportions. Multivariable linear regression or logistic regression was used to determine risk factors (α=0.05). Results ① In the 204 patients [mean age (55±8) years, 86.3% were females], the prevalence of physiologic effusion(≤ 1) was 47.9% while moderate or larger (≥2) effusion was 52.1%.② The age, labour intensity, serum levels of uric acid (sUA) and Lequesne index of higher grade effusion group were higher (P<0.05) compared with lower grade effusion group. ③ Suprapatellar pouch effusion maximum area was positively correlated with age (r=0.208, P=0.006), BMI (r=0.171, P=0.027) and labour intensity (r=0.189, P=0.013).④ Adjusted for age, gender and BMI, the results of Logistic regression analysis showed that: suprapatellar pouch effusion grades were positively correlated with Lequesne index [OR=1.120, 95% CI(1.011, 1.241), P=0.029] and negatively correlated with IL-23 [OR=0.768, 95% CI (0.598, 0.986), P=0.038]. Suprapatellar pouch effusion was not independently associated with WOMAC index, IL-6 and IL-17. Conclusion The prevalence of suprapatellar pouch pathological effusion is 52.1% in knee osteoarthritis. Suprapatellar pouch effusions is positively correlated with knee pain (Lequesne index) and negatively correlated with IL-23. Key words: Osteoarthritis, knee; effusion; Knee pain; Interleukin-23
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".