Endovascular treatment plus placebo versus endovascular treatment plus intravenous thrombolysis in acute ischemic stroke with occlusion of the M2 segment of the middle cerebral artery: a multicenter randomized clinical trial: the M-TWO Trial
Bibliographic record
Abstract
BACKGROUND For patients with large vessel occlusion (LVO) strokes, it is unknown whether endovascular treatment (EVT) treatment alone compared with intravenous thrombolysis plus EVT (standard treatment) can achieve similar functional and safety outcomes. OBJECTIVES To investigate whether EVT plus placebo is non-inferior to intravenous thrombolysis followed by EVT for achieving functional independence at 90 days (modified Rankin Scale 0-2) among patients with acute ischemic stroke with occlusion of the M2 segment of the middle cerebral artery (MCA). Secondary objectives to assess efficacy include investigating recanalization rates and final infarct volume at 72h measured by diffusion-weighted imaging (DWI). Secondary objectives to assess safety include symptomatic intracerebral haemorrhage (sICH), any intracerebral haemorrhage (ICH), any other haemorrhages and mortality rates. METHODS Randomized, multicentric, prospective, double-blind, non-inferiority, controlled clinical trial. Intervention will be performed internationally in 50 stroke centres from Europe, USA and Canada
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".