Metabolic Syndrome in Patients With Ankylosing Spondylitis
Bibliographic record
Abstract
Background : The objective of this study is to investigate the presence of metabolic syndrome (MS) in patients with ankylosing spondylitis (AS) and to evaluate its relationship with the clinical parameters. Methods : Fifty patients who presented to the Dicle University School of Medicine, Physical Therapy and Rehabilitation Outpatient Clinic and were diagnosed with AS according to the 1984 New York criteria were enrolled in this study. The control group consisted of 44 healthy control subjects. Assessment of the MS was made according to the diagnostic criteria specified in the National Cholesterol Education Program Adult Treatment Panel III Report (NCEP ATP III ). Functional status and disease activity were evaluated using the Bath Ankylosing Spondylitis Functional Index (BASFI) and the Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) for AS. Results : MS was observed in 6 out of the 50 AS patients (12%) and in 2 out of the 44 controls (4.5%) (P > 0.05). However, the HDL cholesterol level (P = 0.006) was found as significantly lower in AS patients than the controls. No statistically significant differences were observed in the disease duration and functional and clinical activity indices between the AS patients with and without MS. Conclusion : Although the frequency of MS was observed to be higher in patients with AS than the controls in this study, the differences were statistically insignificant between the two groups. doi:10.4021/jem61e
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".