Evaluation of urinary C-terminal cross-linked telopeptides of type II collagen CTX-II as a biomarker for early diagnosis of osteoarthritis in comparison to routine diagnostic methods
Bibliographic record
Abstract
Background: Work-related musculoskeletal disorders (WRMSDs) are serious occupational health problems among workers worldwide. Aim of the study: evaluate urinary C‐ terminal telopeptide of collagen type II (CTX-II) as a biomarker for early diagnosis of osteoarthritis and compare results with those obtained by the routinely used methods. Subjects and methods: One hundred and eighty workers from the outpatient clinics of rehabilitation center in Cairo performing physically demanding and office jobs. One hundred and twenty three workers diagnosed with knee OA (Group I) and 57 workers were healthy (Group II). Clinical examination, X-rays and questionnaire were done. Erythrocyte sedimentation rate, high sensitive C reactive protein and human CTX-II were measured. Results: No statistical significant difference between CTX-II in osteoarthritis workers and age, residence, smoking status and sport practice. Marked increase of urinary CTX-II level was found in osteoarthritis workers compared to healthy group. A high significance difference between CTX-II level and Western Ontario and Mc master Universities Arthritis Index (WOMAC) index scores in osteoarthritis workers, in addition high levels were found among grade 4 osteoarthritis. Mean urinary level of CTX-II in osteoarthritis workers increased with increased work duration and total working hours. Conclusion: Urinary CTX-II can predict clinical diagnostic criteria and x-ray progression in osteoarthritis, so it can be used as a tool for diagnosis of 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 | 0.002 | 0.002 |
| 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) | 0.001 | 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 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".