Symptomatic Cervical Carotid Artery Stenosis: Evolving Paradigms in Risk Stratification and Intervention
Bibliographic record
Abstract
Symptomatic carotid disease, characterized by atherosclerotic or non-atherosclerotic internal carotid artery disease with ipsilateral stroke symptoms, represents a critical condition in stroke neurology. This "hot carotid" state carries a high risk of stroke recurrence, with almost one-fourth of the patients experiencing recurrent ischemic events within 2 weeks of initial presentation. The global prevalence of significant carotid stenosis (conventionally defined as ≥50% narrowing) is estimated at around 1.8% in men and 1.2% in women and increases with age. Management of symptomatic carotid disease remains challenging, requiring a balance between urgent medical and surgical interventions and their associated risks. Current treatment approaches combine medical management, focusing on optimal antithrombotic therapy, with revascularization procedures such as carotid endarterectomy or carotid artery stenting. However, decision making has evolved beyond considering stenosis degree alone, now incorporating advanced imaging data on plaque composition and intraluminal characteristics. Even though there are numerous randomized trials, uncertainties persist regarding optimal management, particularly in light of improved medical therapies and emerging concepts like symptomatic non-stenotic carotid disease. Future research directions include exploring newer antithrombotic regimens, refining patient selection criteria for revascularization, and evaluating novel techniques like transcarotid artery revascularization.
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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".