Recurrent Stroke Prevention Strategies in Patients Receiving Acute Stroke Reperfusion Therapies (CoPrime Study Survey)
Bibliographic record
Abstract
INTRODUCTION: Patients who have undergone reperfusion treatments, like all ischemic stroke patients, are at risk of recurrent ischemic strokes in the first 90 days. Current guidelines recommend single antiplatelet therapy for secondary prevention at variable time points after the procedure. This study assessed the practices and perspectives of healthcare professionals on the use of dual antiplatelet therapy in patients with non-cardioembolic ischemic stroke who have undergone reperfusion therapy. METHODS: We conducted a multinational cross-sectional web-based survey using Qualtrics involving neurologists and non-neurologist stroke physicians (including neurosurgeons, interventional neuroradiologists, and internal medicine physicians). Participants were asked about their current practices and presented with six structured case scenarios to determine their treatment preferences. In the case scenarios, we assessed their willingness to randomize to a clinical trial comparing single versus dual antiplatelets. Multinomial logistic regression analysis was performed to assess the relationship between demographic characteristics and willingness to randomize. RESULTS: A total of 278 clinicians from 26 countries participated in the survey. The most common continent of practice was Asia (155/278; 55.9%). The most common area of practice was neurology (220/278; 79.1%), with most participants having 5-15 years of experience (115/278; 41.5%) and working in comprehensive stroke centers (205/278; 73.9%). Antiplatelet Choice: For a small infarct post-intravenous thrombolysis and endovascular thrombectomy (EVT), 194/278 (69.8%) preferred aspirin, and 49/278 (17.6%) chose a dual antiplatelet strategy with aspirin and clopidogrel. Loading of Antiplatelet: A total of 121/278 (43.5%) indicated they would not administer a loading dose in cases even with small final infarctions. Timing of Antiplatelet Initiation: Preferences varied; 61/278 (21.7%) considered early initiation immediately post-EVT, and 103/278 (37.2%) considered 24 h post-EVT. Willingness to Randomize: A total of 16/278 (77.7%) were willing or would consider randomizing in a clinical trial with dual antiplatelet. On regression analyses, the willingness to randomize was influenced by years of practice and the local volume of reperfusion therapy. CONCLUSION: Antiplatelet management for secondary stroke prevention in patients with non-cardioembolic ischemic stroke following reperfusion therapy is variable. However, more than three-fourths of participants were willing to consider randomization to a clinical trial exploring the prevention of recurrent stroke after reperfusion therapy.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".