Synovial fluid level of vascular endothelial growth factor (VEGF) can predict functional status and radiological severity in patients with knee osteoarthritis (OA)
Bibliographic record
Abstract
Aim of the work: Detection of serum and synovial fluid level of Vascular Endothelial Growth Factor (VEGF) in patients with knee osteoarthritis (OA) and to determine its relation to radiological severity and function status. Patients and methods: Thirty OA patients and thirty controls were included. Function status was assessed using the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC). Knee pain evaluated using the Visual Analogue Scale (VAS). Serum and synovial fluid level of VEGF were measured. Kellgren-Lawrence grading scale (KL) used to assess radiological severity. Results: The mean of patients’ age was 50.33 ± 5.3 years (20 females and 10 males) with disease duration of 7.03 ± 2.12 years. Mean synovial fluid VEGF of OA patients was 964.1 ± 396.72, mean serum VEGF of OA patients was 219.1 ± 96.95. No difference between serum VEGF of patients and control groups (p=0.787). Significant positive correlation between serum and synovial VEGF in OA patients (r=0.58, p=0.001). Significant positive correlation between the synovial fluid VEGF and patients’ age, disease duration, inactivity stiffness, ESR, VAS, WOMAC and KL grade scale (p‹0.0001,p=0.029,p‹0.0001,p‹0.0001,p=0.00 3,p‹0.0001,p‹0.0001). Significant positive correlation between serum VEGF and patients’ age, inactivity stiffness, WOMAC, ESR and KL grade scale (p‹0.0001, p=0.005, p=0.001, p=0.001,p=0.010). Synovial fluid VEGF was the significant predictors for determining the function status (p‹0.0001); while for determining severity; synovial fluid VEGF, patients’ age and VAS were significant predictors (p‹0.0001,p=0.001 and p=0.029 respectively). Conclusion: Serum and synovial fluid VEGF correlated with the clinical features, functional status and radiological features of Knee OA. Synovial VEGF can predict both functional impact and radiological severity in patients with 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 | 0.001 |
| 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 | 0.000 | 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".