Does Radiologic Grading Predict Severity of Osteo-arthritis Knee
Bibliographic record
Abstract
Abstract Objective Evaluation of association between pain and functional limitation of osteo-arthritis knee with radiographic features. Methods Total of 123 knee OA patients diagnosed on the basis of American College of Rheumatology Classification (ACR) Criteria for knee OA, attended in Physical Medicine and Rehabilitation (PMR) OPD, JNIMS, were included. Pain and disability were measured using Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) and radiological grading by Kellgren-Lawrence (KL) grading from x-ray of weight bearing antero-posterior and lateral views. Correlation between WOMAC score and KL grading analysed. Results Sex distribution M:F=9:32, mean age 59.48 (+ 9.8), mean disease duration 4.79 (+ 0.41) months. Correlations of WOMAC pain and KL grading and WOMAC disability and KL grading were insignificant (p > 0.05). Conclusions There is discordance between radiographic findings and clinical features of OA knee and we should not plan treatment on the basis of radiologic grading rather on the functional status and symptoms.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".