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 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".