No Significant Association Between Plasma Endosialin Levels and the Presence or Severity of Coronary Artery Disease
Bibliographic record
Abstract
Background: Endosialin, also called tumor endothelial marker-1 or CD248, is a transmembrane glycoprotein that is suggested to play a role in inflammation as well as tumor progression. Endosialin expression was also reported to be upregulated in human atherosclerotic lesions. However, no study has reported blood endosialin levels in patients with coronary artery disease (CAD). Methods: We investigated the association between plasma endosialin levels and the presence or severity of CAD in 376 patients who underwent elective coronary angiography for suspected CAD. The severity of CAD was represented as the numbers of stenotic coronary vessels and segments. Results: Of the 376 study patients, CAD was found in 210 patients (one-vessel disease (1-VD), n = 90; two-vessel disease (2-VD), n = 65; and three-vessel disease (3-VD), n = 55). Compared with 166 patients without CAD, 210 patients with CAD had higher C-reactive protein (CRP) levels (median 0.57 vs. 0.43 mg/L, P = 0.007). However, endosialin levels did not significantly differ between patients with and without CAD (0.91 vs. 0.92 ng/mL, P = 0.693). A stepwise increase in CRP levels was found depending on the number of > 50% stenotic vessels: 0.43 in CAD(-), 0.52 in 1-VD, 0.57 in 2-VD, and 0.58 mg/L in 3-VD (P = 0.019). No marked difference was found in endosialin levels among four groups of CAD(-), 1-VD, 2-VD, and 3-VD (0.92, 0.89, 0.98, and 0.87 ng/mL, respectively, P = 0.785). Moreover, no significant correlation was found between endosialin levels and the numbers of > 50% and > 25% stenotic segments or CRP levels. In multivariate analysis, endosialin levels were not a significant factor associated with CAD independent of atherosclerotic risk factors. Conclusions: Plasma endosialin levels in patients with CAD were found to be not higher than in those without CAD and to be not significantly associated with the presence or severity of CAD.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".