Indications for thrombectomy in acute ischemic stroke from emergent large vessel occlusion (ELVO): report of the SNIS Standards and Guidelines Committee
Bibliographic record
Abstract
Table 1 Randomized trials and registries of modern approaches to thrombectomy Trial no of patients, total/Ia (when applicable) lVo location Time window for thrombectomy, hours Stroke severity (nIhSS score) Imaging criteria Treatment groups mrS score=0-2 at 90 days Randomized trials: Endovascular vs medical MR CLEAN 8 500/223 ICA, M1, M2, A1, A2 0-6 ≥2 No limit Endovascular arm: stent retrievers in 97% of IA cases, 87% of IA-treated patients received IV rtPA first.Control arm: IV rtPA in 91% of patients Endovascular group: 33% Control group: 19% NNT=7.1 ESCAPE 13 215/165 ICA, M1, both (all) M2s 0-12 'Disabling' symptoms but no strict NIHSS limit CT ASPECTS 6-10, moderate-to-good collateral status on mCTA Endovascular arm: stent retrievers in 86% of all IA cases.73% of IA-treated patients received IV rtPA first Control arm: IV rtPA in 79% of patients Endovascular group: 53% Control group: 29% NNT=4.2EXTEND-IA 9 70/35 ICA, M1, M2 0-6 No limit CTP/MRP core <70 mL Endovascular arm: IV rtPA plus Solitaire stent retriever in all IA cases.Control arm: IV rtPA in all Endovascular group: 71% NNT=3.2SWIFT PRIME 10 196/98 ICA, M1 0-6 8-29 CTP/MRP core ≤50 mL, CT/MRI ASPECTS 6-10 Endovascular arm: IV rtPA plus Solitaire stent retriever in all IA cases.Control arm: IV rtPA in all Endovascular group: 60% Control group: 35% NNT=4
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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 | 0.096 | 0.085 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.007 | 0.008 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.006 | 0.002 |
| Research integrity | 0.006 | 0.008 |
| Insufficient payload (model declined to judge) | 0.004 | 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".