A nationwide prospective registry of endovascular thrombectomy for extra-large ischemic stroke with large vessel occlusion (XL STROKE): rationale and design
Bibliographic record
Abstract
INTRODUCTION: The role of endovascular thrombectomy (EVT) for acute extra-large ischemic stroke patients with large vessel occlusion (LVO) is uncertain. We aimed to explore the clinical and safety outcomes of medical management (MM) plus EVT (EVT group) versus MM alone (MM group) among acute extra-large ischemic stroke patients with LVO within 24 h of last known well. METHODS: XL STROKE (EVT for extra-large ischemic stroke) is an investigator-initiated, nationwide, prospective registry with blinded end point assessment performed at approximately 60 sites in China and will enroll up to 990 acute ischemic stroke patients within 24 h of last known well. Imaging inclusion criteria are occlusion of the internal carotid artery or the middle cerebral artery M1 or M2 segments, and Alberta Stroke Program Early Computed Tomography Score of 0 to 2 or an ischemic core volume ≥85 mL. All patients will be dichotomized into EVT group and MM group according to whether they received EVT or not. The primary outcome is the level of disability on the modified Rankin Scale at 90 ± 14 days. Safety outcomes include symptomatic intracranial hemorrhage within 48 h and mortality at 90 ± 14 days. CONCLUSION: Results from XL STROKE registry will provide constructive evidence of improved disability outcomes and safety with EVT for acute extra-large ischemic stroke patients with LVO within 24 h of last known well.
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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 | 0.014 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".