Urinary C-terminal telopeptide of type II collagen, radiological severity, and functional assessment in knee osteoarthritis: are these related?
Bibliographic record
Abstract
Osteoarthritis (OA) is a chronic, debilitating joint disease characterized by the degeneration of articular cartilage, sclerosis of the subchondral bone, and osteophyte formation. This work aimed at estimating the level of urinary C-terminal telopeptide of type II collagen (CTX-II) as a biomarker of cartilage turnover and to determine its relation with radiological and functional assessment of knee OA. The current study included 40 postmenopausal women with symptomatic knee OA fulfilling the American Rheumatism Association clinical diagnostic criteria for knee OA. A total of 20 healthy volunteers were enrolled as a control group. Patients were assessed radiologically using the Kellgren–Lawrence grading system and functionally using the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC). Urinary CTX-II was measured for the patient and control groups. There was no statistically significant difference as regards age and BMI between patients and controls. Disease duration affects both function assessed using the WOMAC and cartilage degradation assessed using urinary CTX-II. There was a statistically significant correlation between the WOMAC and urinary CTX-II, whereas there was no statistically significant correlation between the Kellgren–Lawrence scale and both urinary CTX-II and the WOMAC. This study further confirms that urinary CTX-II is an index of early cartilage degradation in knee OA even before radiological changes occurs. The functional assessment using the WOMAC is an easy inexpensive method in reflecting cartilage degradation. Moreover, this work supports the lack of association between the functional status of knee OA patients assessed using the WOMAC and their radiological severity measured using the Kellgren–Lawrence grading scale.
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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 | 0.001 | 0.003 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".