Intravenous Tenecteplase Compared With Alteplase for Acute Ischemic Stroke in Canada (AcT): Bridging the Gap From Academia to Regulatory Approval
Bibliographic record
Abstract
Background: In the AcT (Alteplase compared to Tenecteplase) trial, tenecteplase (0.25 mg/kg) was non-inferior to alteplase (0.9 mg/kg) for efficacy, and similar in terms of safety in patients with acute ischemic stroke presenting within 4.5 hours of stroke symptom onset. Additional analyses were required to support regulatory approval. Methods: Individual patient data from the AcT study were independently re-analyzed to confirm the robustness of the primary results; adhere to International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use reporting guidelines; and fulfill regulatory requirements, such as re-analysis to account for known effect modifiers of thrombolytic therapy and investigation of potential bias at randomization. These data were part of the submission to the European Medicines Agency. Results: The primary endpoint results from AcT were found to be reproducible, robust, not a chance finding, and without bias, confirming that tenecteplase was non-inferior to alteplase and significantly superior to control. The pharmacologic effect of tenecteplase in relation to sex, age, National Institutes of Health Stroke Scale score (disease severity) at baseline, and onset to treatment time was very similar to the pharmacologic effect of alteplase. Similar event rates for symptomatic intracerebral hemorrhage and death were observed for both groups. In January 2024, tenecteplase was approved for the treatment of acute ischemic stroke in Europe. Conclusion: Regulatory agencies require specific analyses in order to assess potential bias. Successful customization and extended re-analysis of data from AcT to meet regulatory requirements and adhere to International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use reporting guidelines demonstrate that it is possible to bridge the gap between academia and regulatory approval.
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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 | 0.006 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".