Effect of Cholesterol Lowering and Cardiovascular Risk Factors on the Progression of Aortoiliac Arteriosclerosis: A Quantitative Cineangiography Study
Bibliographic record
Abstract
The post-Coronary Artery Bypass Graft (Post-CABG) trial has shown that aggressive compared to moderate lowering of low-density lipoprotein cholesterol (LDL-C) delayed the progression of obstructive disease in aortocoronary saphenous vein grafts and in the left main coronary artery. Patients had been allocated to high-and low-dose lovastatin therapy for a 4-5 year period. The present study evaluated the effect of LDL-C lowering and the role of cardiovascular risk factors on the progression of arteriosclerosis in the distal abdominal aorta and common iliac arteries. From one of the participating centers of the post-CABG trial, 145 patients who had adequate imaging of the aortoiliac arteries at baseline and follow-up were included. Angiographic outcomes, presumed to reflect progression of arteriosclerosis and obtained from lumen diameter (LD) measurements using quantitative cineangiography, were as follows: significant decrease of the minimum lumen diameter (LD) and increase of the maximum LD, percent lumen stenosis, and percent lumen dilatation. These outcomes were not significantly less frequent in patients randomly allocated to aggressive compared to moderate LDL-C lowering. Of 9 cardiovascular risk factors, only 2 were significantly related to progression of aortoiliac arteriosclerosis. Current smoking predicted both percent lumen stenosis increase and, to a lesser degree, percent lumen dilatation increase (p = 0.010 and p = 0.055, respectively). Abnormally high body mass index (BMI > or = 25 kg/m2) correlated with percent lumen dilatation increase (p = 0.006). Aggressive compared to moderate LDL-C lowering did not prevent or delay the progression of aortoiliac arteriosclerosis. Smoking predicted both lumen narrowing and dilatation presumably caused by arteriosclerosis. Abnormally high BMI, reflecting overweight or obesity, was strongly associated with vessel dilatation.
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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 | 0.000 | 0.000 |
| 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 | 0.000 | 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".