Adipokines and Systemic Lupus Erythematosus: Relationship with Metabolic Syndrome and Cardiovascular Disease Risk Factors
Bibliographic record
Abstract
OBJECTIVE: To study concentrations of adipokines in patients with systemic lupus erythematosus (SLE) and the relationship among adipokines, the metabolic syndrome (MeS), and cardiovascular disease (CVD) risk factors. METHODS: We enrolled 50 SLE patients and 26 controls, all women. Leptin, resistin, visfatin, and adiponectin were measured by commercial ELISA kits. RESULTS: MeS prevalence was increased among subjects with SLE. Leptin levels were higher in patients with SLE than controls. Among SLE patients, independent determinants of leptin were insulin levels (p < 0.0001), triglycerides (p = 0.03), body mass index (p = 0.02), corticosteroid dosage (p = 0.02), and SLE Disease Activity Index (p = 0.005). Other adipokines did not differ between SLE patients and controls. CONCLUSION: Leptin was increased in SLE patients and could play a role in SLE-related cardiovascular diseases.
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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 | 0.002 | 0.001 |
| 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".