Association between Pain, Functional Impairment and Radiographic Findings in Patients with Osteoarthritis of Knee
Bibliographic record
Abstract
Objective: To explore the relationship between pain, functional impairment (disability) and the radiographic findings in patients with osteoarthritis of the knee. Study Design: Cross sectional study Place and Duration of Study: Department of Rhematology, Pakistan Air Force Hospital Islamabad from 1st September 2020 to 28th February 2021 Methodology: One hundred and thirty eight patients of knee joint osteoarthritis were included. Weight bearing antero-posterior and lateral views X-ray for both knees were performed on each patient and Kellgren-Lawrence (KL) system was used to grade the severity of OA. We used Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) for assessment of pain, stiffness and functional impairment. Results: The mean age was 53.76±7.14 years and females were 92 (67 %) and males were 46 (33 %). Average duration of disease was 3.7 years and mean body mass index was 26.78±2.25 Kg/m2. There was no statistically significant association of pain, stiffness and functional impairment with Kellgren-Lawrence radiographic grades. Conclusion: Functional impairment is more associated with level of pain, stiffness in joint and body mass index of patient than the severity of radiographic changes on knee X-ray. Therefore, we would recommend considering functional status of patient alongside radiological findings while planning treatment for patient with knee osteoarthritis. Key words: Osteoarthritis, Pain, function, Radiography
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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 | 0.003 |
| 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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".