Serum cartilage oligomeric matrix protein (COMP) levels in knee osteoarthritis in a Brazilian population: clinical and radiological correlation
Bibliographic record
Abstract
OBJECTIVES: In this study we present data on serum cartilage oligomeric matrix protein (COMP) levels in a Brazilian population with isolated knee osteoarthritis (OA) compared to healthy controls. Clinical and radiological correlations with COMP levels were also evaluated. METHODS: Two hundred and seventy-two patients seen at the Rheumatology Division of the Federal University of São Paulo (UNIFESP) with a symptom of 'pain in the knees' for at least 3 months were invited to participate in this study. History and clinical examination were performed in all patients. Eighty-six patients with clinical isolated knee OA according to the American College of Rheumatology (ACR) criteria and without other causes of pain in the knee were included. Fifty-eight healthy individuals were selected, matched for age and sex, and used as controls. OA evaluation included Lequesne and Western Ontario and MacMaster Universities osteoarthritis index (WOMAC) questionnaires, visual analogue scale (VAS) for pain and standard knee X-rays. Blood samples were taken from all participants and serum COMP levels were measured by enzyme-linked immunosorbent assay (ELISA). OA radiological analysis was performed using the Kellgren and Lawrence (K/L) grading scale. RESULTS: Patients with symptomatic knee OA presented significantly higher serum COMP levels compared to healthy controls and to those with non-symptomatic narrowing of the articular space (p<0.001). Patients with clinical evidence of knee OA and without radiological abnormalities (K/L grade 0 or 1) had intermediate serum COMP levels, significantly higher than those observed in healthy controls (p<0.03). CONCLUSIONS: We observed increased serum COMP levels in patients with symptomatic radiological knee OA. High serum COMP levels may also indicate cartilage damage in selected symptomatic patients without significant radiological abnormalities.
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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 | 0.000 | 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".