Correlation Between Radiological Grading and Clinical Scoring in Knee Osteoarthritis Patients
Bibliographic record
Abstract
BACKGROUND: Osteoarthritis is characterized by mechanical joint abnormalities, primarily involving articular cartilage and subchondral bone degradation. Diagnosis of knee osteoarthritis relies on American College of Rheumatology criteria, and severity assessment utilizes the Western Ontario and McMaster Universities Osteoarthritis Index score and Kellgren and Lawrence grading. Despite reported associations, discrepancies persist in the correlation between Western Ontario and McMaster Universities Osteoarthritis Index and Kellgren and Lawrence grade. METHODS: Descriptive cross-sectional study was conducted at the National Trauma Centre, over six months with consecutive convenience sampling. Demographic and clinico-radiological data were collected. Mean, SD and correlation coefficient was calculated. RESULTS: Consecutive convenient sampling yielded 80 participants meeting American College of Rheumatology criteria, aged 52-81 years, predominantly female (67.50%). Significant positive correlations were identified between age, Western Ontario and McMaster Universities Osteoarthritis Index score, and KL grade. Results showed most cases with Kellgren and Lawrence grade III and strong correlations (r=0.73, p=0.00) between total Western Ontario and McMaster Universities Osteoarthritis Index scores and Kellgren and Lawrence grading. Notably, pain, stiffness and physical functions individually exhibited a significant possitive correlation with Kellgren and Lawrence grading. The study affirms age-related influences on osteoarthritis, emphasizes female predilection, and underscores the importance of assessing both clinical and radiological parameters. CONCLUSIONS: In conclusion, this study supports Western Ontario and McMaster Universities Osteoarthritis Index efficacy in dynamic disease assessment and management, especially in settings where radiological examinations may be impractical, thus establishing Western Ontario and McMaster Universities Osteoarthritis Index as a versatile tool for systematic monitoring and intervention in knee osteoarthritis.
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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 | 0.007 |
| 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".