Diz Osteoartriti Olan Hastalarda Demografik Özellikler ve Klinik parametrelerle İlişkisi
Bibliographic record
Abstract
Background: The aim of this study was to investigate the demographical features and clinical parameters of patients with knee osteoarthritis. Methods: Forty patients diagnosed with knee osteoarthritis were included in the study. Disability was evaluated by Health Assessment Questionnaire HAQ , the severity of the pain was evaluated by Visual Analogue Scale VAS , and Physical activity was evaluated with Western Ontario MacMaster Questionnaire WOMAC and Lequesne index. Results: Mean VAS score at rest was 5.3 ± 0.97, VAS with effort was 7.8 ± 1.1. WOMAC, pain: 5.6 ± 1.06, stiffness: 5.4 ± 1.1, physical activity: 5.8 ± 1.1, Lequesne index: 14.05 ± 1.6, HAQ: 1.65 ± 1.4. There were significant positive correlations between Body Mass Index BMI and WOMAC pain, stiffness and physical activity scores. BMI was negatively correlated with walking distance without pain. Education level was negatively correlated with WOMAC stiffness, physical activity, and VAS scores. Conclusion: Determination of the factors associated with knee osteoarthritis may have additive benefits on the prevention and treatment of knee osteoarthritis
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".