Design and early progress of the Comparison of Anticoagulation and anti-Platelet Therapies for Intracranial Vascular Atherostenosis (CAPTIVA) trial
Bibliographic record
Abstract
Background: The usual antithrombotic treatment for symptomatic intracranial atherosclerotic stenosis (ICAS) consists of dual treatment with clopidogrel and aspirin for 90 days followed by aspirin alone but the risk of recurrent stroke remains high up to 12 months. The Comparison of Anticoagulation and anti-Platelet Therapies for Intracranial Vascular Atherostenosis (CAPTIVA) trial was designed to determine whether other combinations of dual antithrombotic therapy are superior to clopidogrel and aspirin. Methods: CAPTIVA is an ongoing, prospective, double-blinded, three-arm clinical trial at over 100 sites in the United States and Canada that will randomize 1683 high-risk subjects with a symptomatic infarct attributed to 70–99% stenosis of a major intracranial artery to 12 months of treatment with (1) ticagrelor (180 mg loading dose, then 90 mg twice daily), (2) low-dose rivaroxaban (2.5 mg twice daily), or (3) clopidogrel (600 mg loading dose, then 75 mg daily). All subjects receive aspirin (81 mg daily), intensive risk factor management, and will undergo blinded CYP2C19 genotype analysis. The primary goal of the trial is to determine whether rivaroxaban or ticagrelor or both are superior to clopidogrel for lowering the primary endpoint (ischemic stroke, intracerebral hemorrhage (ICH), or vascular death) within 12 months. A prespecified interim safety analysis will be conducted when the first 450 randomized subjects have been followed for 12 months to evaluate the risk of major hemorrhage in the rivaroxaban and ticagrelor arms. Results: Enrollment began in August 2022 and, as of 26 June 2024, the 450th subject was randomized into the study. Conclusion: CAPTIVA is evaluating two alternative dual antithrombotic therapies to clopidogrel and aspirin to maximize the chance of establishing more effective antithrombotic therapy for symptomatic ICAS, one of the most common and high-risk cerebrovascular diseases worldwide.
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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 | 0.011 | 0.010 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.013 | 0.003 |
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".