Rationale and design of a multicenter, international and collaborative Coronary Artery Aneurysm Registry (<scp>CAAR</scp>)
Bibliographic record
Abstract
Coronary artery aneurysm is defined as a coronary dilation that exceeds the diameter of adjacent segments or the diameter of the patient's largest normal coronary vessel by 1.5×. It is an uncommon disease that has been diagnosed with increasing frequency since the widespread appearance of coronary angiography. The published incidence varies from 1.5% to 5%, suggesting male dominance and a predilection for the right coronary artery. Although several causes have been described, atherosclerosis accounts for ≥50% of coronary aneurysms in adults. Reported complications include thrombosis and distal embolization, rupture, and vasospasm, causing ischemia, heart failure, or arrhythmias. The natural history and prognosis remain unknown, as definitive data are scarce. Controversies persist regarding the use of medical management (antithrombotic therapy) or interventional/surgical procedures. Only some case reports or small case series are available about this condition. The Coronary Artery Aneurysm Registry (CAAR; http://www.ClinicalTrials.gov NCT02563626) is a multicenter international ambispective registry that aims to provide insights on anatomic, epidemiologic, and clinical aspects of this substantially unknown entity. In addition, the registry will assess management strategies (conservative, interventional, or surgical) and their short- and long-term results in a large cohort of patients. CLINICAL TRIAL REGISTRATION: ClinicalTrials.gov. Unique identifier: NCT02563626.
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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 | 0.064 | 0.057 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.024 | 0.007 |
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".