Acute Management of Medium Vessel Occlusion Stroke: New Evidence and a Path Forward
Bibliographic record
Abstract
Acute stroke due to medium vessel occlusion (MeVO) accounts for 25% to 40% of all acute ischemic stroke cases and is associated with substantial morbidity despite current best medical management. This motivated several recently published and ongoing trials that investigate(d) the benefit of endovascular thrombectomy (EVT) for MeVO stroke. Two of these trials have been published, an interim analysis of a third has been presented, and a fourth will be presented soon. The available trial results suggest no difference in outcomes between EVT and best medical management, and a possibility of harm with EVT. Preliminary post hoc analyses have however identified promising patient subgroups that may derive benefit from EVT. Improving EVT tools and techniques, together with adjunctive treatments, may further increase the technical efficacy of MeVO EVT. This review summarizes clinical and imaging features of MeVO stroke, reviews current evidence for medical and endovascular treatment, discusses recent MeVO EVT trial results, and outlines possible pathways forward for future MeVO trials.
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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 | 0.009 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".