Coronary Artery Disease in Adults Undergoing Percutaneous Patent Foramen Ovale Closure Following Cryptogenic Stroke.
Bibliographic record
Abstract
BACKGROUND: A patent foramen ovale (PFO) is found in nearly half of patients with cryptogenic stroke. Little guidance on the use or necessity of coronary angiography at the time of percutaneous PFO closure exists. We aimed to characterize the presence of coronary artery disease (CAD) in patients undergoing PFO closure following a cryptogenic stroke. METHODS: A retrospective analysis of consecutive patients who underwent concurrent percutaneous PFO closure and coronary angiography was performed. Patients were ≥40 years of age and had a preceding diagnosis of cryptogenic stroke with no known CAD. Visual analysis of coronary angiograms was performed. RESULTS: Of 180 patients, 8 (4%) had severe CAD, 15 (8%) had moderate CAD, 32 (18%) had mild CAD, and 12 (7%) had luminal irregularities. Of those with moderate-to-severe CAD, 9 (5%) had proximal disease and 9 (5%) had multivessel disease. Of those with moderate-to-severe CAD, 8 (35%) underwent further risk stratification with stress testing, 4 (17%) were medically managed, and 1 (4%) underwent concurrent angioplasty. CONCLUSIONS: Coronary angiography identified a low prevalence of CAD in patients with cryptogenic stroke undergoing PFO closure, suggesting that coronary angiography is not routinely indicated in patients undergoing PFO closure.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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".