Correlation Between Radiographic Grading and Severity of Symptoms in Osteoarthritis of the Knee
Bibliographic record
Abstract
Introduction: Osteoarthritis is by far the most common form of joint disease throughout the world. Knee osteoarthritis is an important contributor for global disability among the geriatric population. There are conflicting reports regarding radiological severity and clinical findings among patients. The aim of this study was to find the relation between radiographic features and severity of symptoms in knee osteoarthritis. Methods: This is a cross-sectional study conducted in Kathmandu Medical College Teaching Hospital, Sinamangal, Kathmandu. A total of 174 patients with osteoarthritis knee who presented from January 2019 to June 2020 were included in the study. The diagnosis of knee OA was based on American College of Rheumatology criteria (ACR) for knee OA. Demographic variables including age, sex, occupation and BMI were recorded. The severity of symptoms was evaluated using WOMAC (Western Ontario and McMaster Universities Osteoarthritis Index) and radiographic features were evaluated using K-L grading. Correlation between WOMAC score and K-L grading was assessed for the knee OA. Results: Out of 174 patients (one hundred and thirty-three female and forty-one male) the mean age was 60.30±8.329 years (range: 50 to 94 years). Majority of our patients were housewives (37.9%) followed by farmers (32.2%). The average BMI of patients in our study was 27.40 (SD 2.41). Based on Kellgren Lawrence (K-L) grading, 13.2% patients had K-L grade I on X-ray of knee, 34.5% had K-L grade II, 35.1% had K-L grade III and 17.2% had K-L grade IV. The mean WOMAC score in our study was 43.99(Range; 24- 71). K-L grades were strongly correlated with WOMAC scores and sub-scores in our study with spearman’s correlation coefficient (rho) +0.784. Conclusion: Radiographic findings and severity of clinical symptoms were positively correlated. Knee pain, stiffness and limitation of function due to OA knee is strongly correlated with X-ray changes. Both clinical symptoms and radiographic findings should be considered when treating patients with knee OA.
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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 | 0.005 |
| 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".