Correlation of Pain, Physical Function and Radiography With Osteoarthritis of The knee
Bibliographic record
Abstract
Background: Osteoarthritis (OA) of the knee is a major public health issue. It is important to have a clear understanding about the relationship between clinical features (Pain, functional impairment) and radiographic findings to select appropriate treatment option. Objectives: To investigate the relationship between pain, loss of physical function, and radiographic findings in OA of the knee joint. Materials and Methods: A cross sectional study on 90 patients aged 40 years and above with OA of the knee joint selected randomly. Severity of the knee pain and functional impairment were measured using the Bangla version of WOMAC (Western Ontario and McMaster Universities Osteoarthritis index). Radiograph of the knee joint were assessed with the Kellgren- Lawrence grading scale. Results: The mean of the age, BMI (body mass index) and duration of pain was respectively 54.2 (± 9.5) years, 26.0 (± 3.4) kg/m2 and 3.6 (± 2.8) years. Male female ratio was 1:1.6. 55% of the patients had the Visual Analogue Scale (VAS) score of 1-3. The Pain and physical function were associated with OA of the knee where the mean physical function score was 45.1 ± 4.2 in patients who had pain score of >10. However pain and physical function was not associated with the radiographic findings of the OA of the knee. Conclusion: The treatment planning for the OA of the knee should be based on clinical presentation rather than radiographic findings. KYAMC Journal Vol. 10, No.-4, January 2020, Page 173-178
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".