Abstract T MP53: Frequency Aad Features of Patients With Embolic Strokes of Underdetermined Source (esus): Esus Global Registry
Bibliographic record
Abstract
Background: Embolic stroke of undetermined source (ESUS) is a recently introduced clinical construct to define non-lacunar cryptogenic ischemic stroke and is the basis for two large international randomized trials recently underway. Diagnostic criteria are a visualized non-lacunar stroke on CT or MRI, absence of atrial fibrillation by history, ECG and at least 24 hours of rhythm monitoring, absence of intracardiac thrombus by echocardiography, no occlusive atherosclerosis based on imaging of the cervical and intracranial arteries, and no specific cause of stroke identified. The frequency and features of ESUS patients have not been characterized previously. Methods: Consecutive patients with recent ischemic stroke were retrospectively reviewed at 20 stroke research centers in 20 different countries to identify those meeting criteria for ESUS, as well as reasons not meeting criteria for the remaining patients. Results: Of 2.090 patients with recent ischemic stroke, 18% met ESUS criteria (range 2% to 36%). Of those not meeting ESUS criteria, major reasons were atrial fibrillation (26%), lacunar stroke (19%), incomplete diagnostic evaluation (18%), carotid artery stenosis >50% (17%), and intracranial stenosis (13%). Excluding those without the required diagnostic evaluation, 22% met criteria for ESUS. Of the 378 ESUS patients, the mean age was 64 years (vs. 68 years for non-ESUS), 56% were men (54% non-ESUS), 16% received tPA, and 33% were taking antiplatelet therapy at stroke onset. Hypertension, diabetes, and coronary artery disease were present in 66%, 26%, and 11%, respectively. At hospital discharge, 93% received antiplatelet therapy, 6% anticoagulant therapy, and 1% no antithrombotic therapy. Conclusions: Ischemic stroke patients meeting criteria for ESUS are not uncommon (22% of ischemic strokes) in stroke centers performing the required diagnostic evaluation. Antiplatelet therapy is overwhelmingly used for secondary prevention in these patients with non-lacunar cryptogenic stroke.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".