Extending the time window for tenecteplase by effective reperfusion of penumbral tissue in patients with large vessel occlusion: Rationale and design of a multicenter, prospective, randomized, open-label, blinded-endpoint, controlled phase 3 trial
Bibliographic record
Abstract
RATIONALE: The benefit of tenecteplase in the treatment of large vessel occlusion (LVO) patients presenting within 24 h of symptom onset remains unclear. AIM: This study aimed to assess the effectiveness and safety of tenecteplase, compared to standard of care, in patients presenting within the first 24 h of symptom onset with an LVO and target mismatch on perfusion computed tomography (CT). METHODS AND DESIGN: The "Extending the time window for Tenecteplase by Effective Reperfusion of peNumbrAL tissue in patients with Large Vessel Occlusion" (ETERNAL-LVO) trial is a prospective, randomized, open-label, blinded-endpoint, phase 3, parallel-group, superiority trial with covariate-adjusted 1:1 randomization, and adaptive sample size re-estimation. Patients with an anterior circulation LVO stroke, who present within 24 h of stroke onset or last known well with a target mismatch on computed tomography perfusion (CTP) or magnetic resonance imaging (MRI), will be randomized to tenecteplase (0.25 mg/kg) or standard of care (alteplase 0.90 mg/kg or conservative management at clinician discretion) prior to undergoing endovascular therapy. STUDY OUTCOMES: The primary outcome is the proportion of patients with a modified Rankin Scale (mRS) of 0-1 (no disability) or return to baseline mRS at 3 months. Secondary and safety outcomes include the proportion of patients with an mRS of 0-2 at 3 months, an ordinal analysis of the mRS at 3 months, the proportion of patients with symptomatic intracerebral hemorrhage (sICH), the proportion of patients with death due to any cause, and the proportion of patients with mRS 5-6 at 3 months (severe disability or death). DISCUSSION: The ETERNAL-LVO trial will build on the current evidence for tenecteplase in the > 4.5-h window. Specifically, this trial will evaluate tenecteplase in a patient population who have access to endovascular therapy but may incur delays to endovascular therapy commencement or require transfer from a primary to a comprehensive stroke center. TRIALS REGISTRATION: ClincialTrials.gov: NCT04454788.
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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 | 0.017 | 0.009 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".