Serum sLOX-1 levels are associated with the presence and severity of angiographic coronary artery disease in patients with metabolic syndrome
Bibliographic record
Abstract
PURPOSE: Patients with metabolic syndrome are at high-risk for development of atherosclerosis and cardiovascular events. Serum soluble lectin-like oxidized low-density lipoprotein receptor-1(sLOX-1) is associated with coronary artery disease (CAD) and metabolic disorders. We sought to assess whether serum sLOX-1 levels are correlated with the presence and severity of CAD in patients with metabolic syndrome (MetS) undergoing coronary angiography. METHODS: Serum sLOX-1 levels were measured in 112 consecutive patients with MetS, undergoing coronary angiography for the evaluation of CAD. The severity of CAD was assessed by angiographic Gensini score system. RESULTS: Serum sLOX-1 levels were significantly higher in MetS patients with CAD (n=69) than in those without CAD (n=43) (0.925 [range 0.137 to 1.432] ng/ml vs. 0.207 [range 0.063 to 0.774] ng/ml, P < 0.01). Multivariate logistic regression analysis revealed that serum sLOX-1 level was independently associated with the presence of CAD (odds ratio 2.489, 95% confidence interval 1.290-4.802; P < 0.01). Serum sLOX-1 levels were positively correlated with the Gensini score (ρ: 0.394, P < 0.01) after adjusting for other clinical characteristics. CONCLUSIONS: High sLOX-1 levels are associated with the presence and severity of CAD in patients with MetS. The measurement of serum sLOX-1may be potentially useful in predicting the presence and severity of CAD in patients with MetS.
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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".