Endovascular thrombectomy for large ischemic strokes: meta-analysis of six multicenter randomized controlled trials
Bibliographic record
Abstract
BACKGROUND: Six randomized controlled trials have concluded their investigations on the efficacy and safety of endovascular thrombectomy (EVT) for patients with large infarcts.To synthesize the results from six trials which met the inclusion criteria (RESCUE-Japan LIMIT, ANGEL-ASPECT, SELECT2, TESLA, TENSION, and LASTE) to provide high-level evidence and guide providers on optimizing EVT treatment decisions for patients presenting with large ischemic strokes seen on initial imaging. METHODS: Study and patient characteristics of the six included trials were collected, and 90-day modified Rankin Scale (mRS) outcomes were tabulated. Generalized odds ratios (OR) of mRS score shift and utility-weighted mRS values were calculated for each study. Random-effects models were used to pool study outcomes. RESULTS: 922 patients received EVT, and 924 received medical management. Most patients had Alberta Stroke Program Early CT (ASPECT) scores of 3 to 5 and intracranial occlusion in the internal carotid artery (ICA) or the first segment of the middle cerebral artery (M1). EVT was significantly superior to medical management in terms of likelihood of better mRS score, functional independence (mRS score 0-2), and independent walking (mRS score 0-3) at 90 days, representing numbers needed to treat of 4.7 (95% CI 3.7 to 6.6), 7.1 (95% CI 5.6 to 9.6), and 10.6 (95% CI 8.2 to 14.8), respectively. EVT was not significantly associated with higher risk of symptomatic intracranial hemorrhage (1.7% (95% CI -0.32% to 3.72%), P=0.10). There was significant inter-study heterogeneity in mortality risk, which might have been due to differences in treatment time windows. CONCLUSIONS: This study provides strong evidence that EVT is effective for patients presenting within 6 hours of stroke onset, ASPECT scores of 3 to 5, and intracranial ICA or proximal M1 occlusion. Use of EVT beyond 6 hours or for more distal occlusions requires further investigation.
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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 | 0.036 | 0.056 |
| Meta-epidemiology (narrow) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.018 | 0.050 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".