Correlates of Pain Intensity in Men and Women With Hip and Knee Osteoarthritis. Results of a National Survey: The French ARTHRIX Study
Bibliographic record
Abstract
AIMS OF THE STUDY: To examine the clinical and demographic correlates of pain intensity in patients with hip and knee osteoarthritis (OA). PATIENTS AND METHODS: In a national cross-sectional survey, 1811 general practitioners recruited and assessed 5324 patients with hip and knee OA. The patients rated the intensity of pain at rest, on movement over the last 24 hours, and during the last 8 days on 11-point numeric rating scales. The patients also completed the Western Ontario and McMaster Universities Osteoarthritis Index. Clinical and demographic correlates of pain intensity and function were investigated by univariate, stepwise multiple logistic regression and odds ratio analyses. RESULTS: Data for 4598 patients were analyzed (86.4% of surveyed patients). The mean pain intensity was 4.1+/-2.2 at rest, 5.9+/-1.8 on movement during the last 24 hours, and 5.1+/-1.7 during the last 8 days. Pain on movement during the last 24 hours and during the last 8 days showed a strong positive correlation (r=0.78; P<0.0001), which suggests that the most of the latter pain was related to movement. Patients with knee or hip OA did not differ in pain intensity, but patients with both joints affected rated pain intensity significantly higher than did those with only 1 affected joint [4.6+/-2.1, 6.3+/-1.8, and 5.5+/-1.6, for the 3 pain assessments, respectively (P>0.01)]. Patients with high pain ratings were more likely to be women, be older than 75 years, and have a body mass index of greater than 40 kg/m. In addition, patients who were retired, unemployed, farmers, or widowed, or had a long duration of OA gave high pain ratings. Patients with regular physical activities reported less intense pain. CONCLUSIONS: Pain intensity ratings for patients with lower limb OA differed significantly with respect to sex, age, body mass index, physical activity, professional activity, marital status, and conditions of assessment.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.017 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".