Coronary artery calcification score is increased in patients with isolated coronary artery ectasia
Bibliographic record
Abstract
PURPOSE: Coronary artery calcification (CAC) is an indicator of coronary atherosclerosis and is associated with future adverse cardiac events. Isolated coronary artery ectasia (CAE) is defined as localized or diffuse dilation of the coronary arteries without coronary stenosis. The aim of this study was to assess the relationship between CAC and isolated CAE. METHODS: Thirty-four patients with isolated CAE and 50 controls subjects, with normal coronary arteries, were enrolled in the study. Baseline demographic features and atherosclerosis risk factors were similar in both groups. RESULTS: Patients with CAE had higher total CAC than control subjects (84±111 vs. 33.5±103.5; p<0.001). There was also a significant correlation between per-segment CAC and ectatic segment length (r=0.32; p=0.01) but no correlation with diameter (r=0.09; p=0.5). CONCLUSION: Patients with isolated CAE had higher CAC than control subjects, suggesting that atherosclerosis may be involved in the pathogenesis of isolated CAE. Patients with isolated CAE may have increased cardiovascular risk and should receive appropriate risk stratification and relevant medical treatment.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".