Disease Burden of Patients With Osteoarthritis: Results of a Cross‐Sectional Survey Linked to Claims Data
Bibliographic record
Abstract
OBJECTIVE: Osteoarthritis (OA) is a major reason for chronic pain, stiffness, and functional limitation. This study was undertaken to analyze factors associated with the burden of OA, taking the pattern of joint involvement into account. METHODS: From a random sample of 8,995 patients with OA (International Statistical Classification of Diseases and Related Health Problems, Tenth Revision, German Modification codes M15 [polyarticular], M16 [hip], or M17 [knee]) from a German statutory health insurance database, 3,564 patients completed a survey including the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC). Patients with knee, hip, concomitant hip and knee, or polyarticular manifestation were compared concerning pain, stiffness, function, and impact on work and personal life. Data were linked to dispensation records. The association of age, sex, body mass index (BMI), symptom duration, and the World Health Organization-5 Well-Being Index (WHO-5) with WOMAC results was assessed in multiple linear regression models. RESULTS: Patients with knee (n = 1,448), hip (n = 959), hip and knee (n = 399), or polyarthritic (n = 758) OA were included. Concomitant hip and knee OA was accompanied by the highest WOMAC values (mean 44), frequent impairment of personal life (75%), and the highest use of analgesics (52% nonsteroidal antiinflammatory drugs, 22% opioids, and 37% others). In the regression analyses, BMI per 5 units and WHO-5 per 10% worsening were associated with an increase in WOMAC values of 4-5 points, irrespective of the joint manifestations. CONCLUSION: Disease burden is high in patients with concomitant hip and knee OA and is connected with frequent prescription of analgesics. Involvement of several joints, BMI, and depressive symptoms need to be considered when using the WOMAC as an outcome instrument.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| 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".