Current Canadian And American Experiences In The Treatment Of Acute Ischemic Stroke
Bibliographic record
Abstract
Stroke remains one of the main public health issues worldwide. It is the third leading cause of death in the United States, with more than 200,000 people dying from strokes each year. Approximately 80% of all acute ischemic strokes are due to intracranial artery occlusion, most commonly thromboembolic clot occlusion. Revascularization of occluded territories is the cornerstone of acute ischemic stroke and Thrombolysis for ischemic stroke has been systematically studied in large randomized trials only since the 1990s. To date, thrombolytic therapy for ischemic stroke has been investigated in 21 randomized controlled clinical trials enrolling more than 7,000 patients. The advent of modern imaging and endovascular tools and technologyhas revolutionized treatment of stroke. In this talk, I will review current clinical trials published in The NEJM (ESCAPE, MR Clean, EXTENDED IA, ….) regarding superiority of the endovascular treatments, especially, the stent retrievers, over Iv tPA. I will also go over all endovascular techniques used in the endovascular treatment of acute stroke using my Canadian and American experiences.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.016 | 0.004 |
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".