Association Between Serum Apolipoprotein A1 Levels, Ischemic Stroke Subtypes and Plaque Properties of the Carotid Artery
Bibliographic record
Abstract
BACKGROUND: This study aimed to investigate the association between serum apolipoprotein A1 (ApoA1) levels, ischemic stroke subtypes and plaque properties. METHODS: We enrolled 92 patients with ischemic stroke and 21 age-matched controls (CONT). The stroke patients were divided into three subtypes: cardioembolic (CE, n = 15), atherothrombotic infraction (ATBI, n = 52), and lacunar infarction (LI, n = 25). Carotid plaques were classified as low, intermediate, or high intensity, and either simple or mixed type. Serum lipids (total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), triglyceride (TG)), ApoA1, and ApoB were analyzed using commercially available kits. RESULTS: There was no difference in TC, LDL-C, HDL-C, and ApoB levels among the four groups. Serum ApoA1 levels in the ATBI group were significantly lower compared with the CONT group. Among the ATBI group, the serum ApoA1 levels in the low-intensity plaque-type were significantly lower than those in the intermediate or hard-intensity plaque-type. Furthermore, serum ApoA1 levels in the mixed plaque-type were significantly lower than those in the simple type. CONCLUSIONS: These findings suggest that serum ApoA1 levels might be associated with the development of ATBI and plaque properties of the carotid artery.
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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 | 0.000 |
| 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) | 0.002 | 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".