Evaluation of the degree of knee joint osteoarthritis in patients with early gray hair
Bibliographic record
Abstract
BACKGROUND: Osteoarthritis (OA) is the most common form of arthritis and one of the causes of pain and disability. The hair graying characteristic correlates strictly with chronological aging and take places to varying degrees in all individuals, disregarding gender or race. AIMS: Comparison of the degrees of clinical and radiologic severity of the knee OA in individuals with early hair graying compared to ordinary individuals. MATERIALS AND METHODS: A total of 60 patients with knee OA and similar demographic characteristics were enrolled in this study. All patients were classified in to 3 age subgroups in each of the case and control groups (30-40 year, 41-50 year, 51-60 year). In the case group, the patients must had early hair graying, too. Knee OA were classified using the Kellgren-Lawrence (KL) grading scale. Western Ontario McMaster University Osteoarthritis index (WOMAC) was applied to assess clinical severity of the knee OA. RESULTS: The mean ± SD of WOMAC index in the case group was 60.7 ± 15.9 and in the control group was 55.3 ± 15.3 (P = 0.1). The mean rank of KL scale in case group was 35.3 and in the control group was 25.6 (P = 0.02). CONCLUSION: Even at the same age of OA onset, the rate of progression of radiological findings and the grade of joint destruction in individuals with early hair graying are greater than normal individuals. However, clinical and functional relevant remain unclear.
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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 | 0.000 | 0.000 |
| 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) | 0.000 | 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".