Clinico-radiological correlation of osteoarthritis knee using Western Ontario and McMaster Universities score and Kellegren and Lawrance grading
Bibliographic record
Abstract
Background: Diagnosis OA is basically based upon clinical and radiological features. In our study we have used a clinical scoring system of OA called as WOMAC (Western Ontario and McMaster Universities) score and a radiological staging system KL staging (Kellegren and Lawrance) OA radiological staging system and correlation between them.Methods: There were total 66 patients with 102 knees. X ray of bilateral knee was taken in weight bearing position (standing) and WOMAC score was calculated. X-rays were assessed with KL grading. WOMAC score a clinical scoring was correlated with a radiological KL grading for the OA of knee.Results: Range of WOMAC score was 11.5-67.7. Mean WOMAC score were 18.75, 31.31, 52.57 and 67.2 in patients of KL grade 1, 2, 3 and 4 respectively. Correlation between KL grading and WOMAC scoring were found to be significant; there were rise in the WOMAC scoring when KL grading increases.Conclusions: Both the KL grading and WOMAC score are directly proportional to each other, and hence, WOMAC scoring can be used to diagnose, assess the progression of the disease and the response to treatment of 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 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) | 0.004 | 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".