INVESTIGATION OF CLINICAL FACTORS AFFECTING PERCEIVED PAIN INTENSITY IN FEMALE PATIENTS WITH KNEE OSTEOARTHRITIS
Bibliographic record
Abstract
Objective: The present study aimed to identify the clinical variables influencing perceived pain intensity at rest, during activity, and at night in female patients with knee osteoarthritis (OA). Method: One hundred-six female patients with knee OA (mean age, 58.50±9.48 years; mean BMI, 30.73±5.53 kg/m2) were included. The Visual Analogue Scale (VAS), active range of motion (AROM), strength of the iliopsoas, gluteus medius, quadriceps femoris, and hamstring muscles, Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), and Short Form-12 (SF-12) were outcome measures. A multivariate or univariate regression analysis was conducted to examine the relationship between the VAS ratings and AROM, muscle strength, WOMAC, SF-12, and Kellgren-Lawrence classification. Results: The mean values for VAS-rest, VAS-activity, and VAS-night were 3.02±2.32, 6.62±1.96, and 3.89±2.72, respectively. A significant correlation was found between VAS-rest and quadriceps femoris muscle strength, as well as the WOMAC score. Similarly, VAS-activity showed a significant association with hip flexion and knee extension AROM, quadriceps femoris muscle strength, Grade 3 or Grade 4 OA, physical component score of SF-12, and WOMAC score (p
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.002 | 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".