Tenecteplase in Acute Ischemic Stroke: A Scientific Statement From the Korean Stroke Society
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND AND PURPOSE: Tenecteplase (TNK) is a promising alternative thrombolytic agent for the treatment of acute ischemic stroke (AIS). However, its potential use is being impeded by the lack of regulatory approval and reimbursement policies for TNK in AIS in many countries, including South Korea. To address this therapeutic gap, the Korean Stroke Society developed scientific statement intended to inform policy changes and support the introduction of TNK in regions where it is not yet accessible, with the aim of enabling AIS patients to benefit from this advancement in thrombolytic therapy. METHODS: We reviewed randomized controlled trials (RCTs), meta-analyses, and systematic reviews published between January 2010 and November 2024 involving AIS patients treated with intravenous TNK. Meta-analyses were included if they exclusively evaluated RCTs and provided clinical evidence on the efficacy and safety of TNK. The statements were thoroughly reviewed and finalized by international expert panels after iterative revisions. RESULTS: The statements suggest that TNK at 0.25 mg/kg can be considered as an alternative to alteplase for intravenous thrombolysis within 4.5 hours of the onset of AIS. The clinical outcomes in patients with large-vessel occlusion who are candidates for endovascular thrombectomy are better for TNK at 0.25 mg/kg than for alteplase. CONCLUSIONS: These statements are intended to support the adoption of TNK in countries where it is not yet available, including South Korea, by providing up-to-date clinical evidence. Their implementation may broaden the therapeutic options for AIS patients and help align acute stroke care practices with international standards.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it