Diabetes and Functional Impairment in Osteoarthritis: Investigating Correlations, Associations, and Progression
Bibliographic record
Abstract
Introduction Diabetes and osteoarthritis (OA) are prevalent chronic conditions, often occurring concurrently and complicating patient management. While the individual impact of each condition on functional impairment is well documented, their combined effect remains poorly understood. This study aims to elucidate the relationship between diabetes and OA-related functional impairment. Methodology This was a cross-sectional study of 290 participants with unilateral knee OA. Their demographic, clinical, and diabetes data were collected. Functional impairment was assessed using the Western Ontario and McMaster Universities Osteoarthritis Index-Center for Rheumatic Diseases (WOMAC-CRD). Statistical analyses investigated the relationships between diabetes, OA severity, and functional impairment. Result Diabetic participants showed significantly worse physical function and overall disability, with lower WOMAC-CRD scores. Mean WOMAC-CRD pain scores were 6.46 (SD = 1.088) and 6.48 (SD = 1.101) for the diabetic and non-diabetic groups, respectively. Mean WOMAC-CRD stiffness scores were 6.48 (SD = 1.101) and 6.56 (SD = 1.083) for diabetic and non-diabetic groups. Diabetic participants had a mean WOMAC-CRD physical function score of 55.93 (SD = 2.484), compared to 64.02 (SD = 2.542) for non-diabetic participants. The mean total WOMAC score was 68.80 (SD = 2.857) for diabetic participants and 77.06 (SD = 2.933) for non-diabetic participants. Longer diabetes duration correlated negatively with physical function and total WOMAC scores. Discussion The findings suggest that diabetes exacerbates functional impairment in OA patients, particularly affecting physical function and overall disability. Chronic inflammation and the accumulation of advanced glycation end-products may contribute to the observed deterioration in joint function. Conclusion Integrated management strategies addressing both diabetes and OA are essential for optimizing patient care.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".