Increased Urinary Concentration of C-Terminal Telopeptide of Type II Collagen and Pain by Radiographic Grade in Women with Knee Osteoarthritis in Northeastern Mexico: A Cross-Sectional Study
Bibliographic record
Abstract
Osteoarthritis (OA) of the knee causes disability, pain, and progressive destruction of cartilage in adult women. The objective of the study was to evaluate the concentrations of the urinary biomarker C-terminal telopeptide of type II collagen (CTX-II) and pain by radiographic grade in women with knee OA in northeastern Mexico: Cross-sectional study of 155 women with knee OA. Concentrations of biochemical parameters were evaluated and urine samples were collected to measure biomarker levels (uCTX-II) ng/mmol by competitive enzyme-linked immunoabsorbent assay (ELISA) technique and the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) scale was used for pain classification; median age of 49 years and 29.1 kg/m2 of body mass index (BMI). uCTX-II biomarker levels were grade 2 (210.7 ng/mmol), grade 3 (314.8 ng/mmol), and grade 4 (478.8 ng/mmol) relative to Kellgren and Lawrence, uCTX-II levels were compared with WOMAC scale and presented significant statistical difference (p = 0.0001). An association of the biomarker CTX-II and an increase in BMI was found in female patients with knee OA (odds ratio = 1.01; 95% confidence interval 1.001–1.005; p = 0.047).This study demonstrates an increase in the levels of the biomarker uCTX-II, the degree of pain, and radiographic grade in women with knee OA in northeastern Mexico.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 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".