Assessment of Quality of Life Among Patients With Knee Osteoarthritis
Bibliographic record
Abstract
Introduction: Osteoarthritis (OA) is a degenerative joint disease estimated to be the fourth leading cause of disability. Methodology: We conducted a cross-sectional observational study at BSMMU, Dhaka, from April 2018 to March 2019. Our goal was to evaluate the quality of life in knee OA patients in Bangladesh using Short Form-36 (SF-36) Health Survey and Western Ontario and McMaster Universities Osteoarthritis (WOMAC) Index. We collected data through face-to-face interviews, adhering to specific inclusion and exclusion criteria. Results: Most participants were within the 40-59 year age group, with 65.2% of patients reporting a disease duration of 1-5 years. The mean WOMAC scores differed significantly by age (p=0.001), with older patients having higher scores. Gender and monthly income did not significantly impact WOMAC scores (p>0.05). Educational status showed potential significance (p=0.074), but it did not reach statistical significance. There was a strong statistical association between total WOMAC scores and patient age (p=0.001). However, other socio-demographic factors showed no significant differences (p>0.05). Patients with shorter OA knee durations (less than one year) had notably lower WOMAC scores than those with longer durations (1-5 years), with a significant difference (F=16.513, p<0.001). In terms of OA knee grading, patients with more severe OA (grade III) had significantly higher WOMAC scores than those with less severe OA (grade I or II) (F=190.077, p<0.001). Gender, educational status, and monthly income significantly influenced SF-36 scores in knee OA patients. Male patients and those with higher educational levels reported higher SF-36 scores. Monthly income also had a significant effect (F=6.101, p=0.004), with higher income linked to higher SF-36 scores. Age did not significantly impact SF-36 scores (F=0.492, p=0.614). Body mass index (BMI) did not significantly affect health-related quality of life in OA knee patients. The elderly with more advanced and prolonged disease had lower quality of life according to WOMAC. Conclusion: It can be concluded that patients with OA knee had relatively poor quality of life in physical health component than that of mental health component and role physical domain was mostly affected among all domains. J Dhaka Med Coll. 2022; 31(2) : 201-209
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".