The Relationship Between Blood Monocyte Count and Coronary Artery Ectasia
Bibliographic record
Abstract
BACKGROUND: The pathophysiology of coronary artery ectasia (CAE) has not been clearly identified, although multiple abnormalities including arteritis, endothelial dysfunction, and atherothrombosis have been reported. It is known that monocytes play an important role in inflammation, atherosclerosis and cardiovascular disease. We aimed to compare the numbers of monocyte counts of the CAE patients versus controls. METHOD: This study included 84 CAE patients (40 male, mean age 55.4 ± 9.7 years) and 30 controls (10 male, mean age 57.86 ± 11.6 years). Concurrent routine biochemical tests and neutrophil, lymphocyte, monocyte count and mean platelet volume (MPV) on whole blood count were performed for these participants. These parameters were compared between groups. RESULTS: Baseline characteristics of the study groups were comparable. CAE patients had a higher MPV value and monocyte count than controls (8.8 ± 0.2 vs. 6.2 ± 1.6 fL and 732 ± 88 vs. 321 ± 75 cell/μL; both P < 0.001, respectively). CONCLUSION: As a result, our study revealed a relationship between monocyte count and MPV in patients with CAE.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| 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".