Progress in Clinical Neurosciences: Pharmacotherapies for the Secondar Prevention of Stroke
Bibliographic record
Abstract
Stroke is a leading cause of mortality and long-term disability worldwide. Survivors of a previous stroke or transient ischemic attack are vulnerable to further cerebrovascular events, as well as myocardial infarction, peripheral vascular disease, congestive heart failure and vascular death. Traditional approaches to the secondary prevention of stroke have included aspirin after ischemic stroke, warfarin for stroke associated with cardioembolic sources, and carotid endarterectomy for eligible candidates with significant carotid artery stenosis. In recent years, much evidence has emerged to support a broader array of pharmacotherapies, including newer antiplatelet agents, lipid lowering drugs, and several classes of blood pressure lowering therapies. Also under study are B vitamins for patients with cerebrovascular disease and hyper-homocysteinemia, and oral direct thrombin inhibitors for high-risk patients with atrial fibrillation. We review the literature to determine the clinical significance of these therapies, and provide recommendations regarding their use in the prevention of recurrent 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".