Bibliographic record
Abstract
In this edition of IJS new therapeutic opportunities are highlighted. First, a metanalysis of all the trials so far of tenectaplase versus alteplase for acute stroke thrombolysis using individual patient data, clearly tenectaplase has great promise as a more effective, and safer form of thrombolysis but phase III, level 1 evidence is required, such as may be generated from the ongoing TASTE trial. Second, interesting data from the embolic stroke of unknown embolic stroke of undetermined source (ESUS) global registry provides additional background for the opportunity for new interventions such as the novel oral anticoagulants (NOACS). They found about 1/6 of all ischemic strokes were in the ESUS category and that they generally were younger, had milder deficits, and were usually treated with antiplatelet agents. This should prime us for the results of such trials as RE-SPECT ESUS, and NAVIGATE ESUS. Those who have been following the INTERACT studies will be interested to see that a post hoc analysis of the entire data set for the use of heparin prophylactically for thromboembolic events within seven days of ICH had a poor outcome, a result which should influence clinical practice. Finally, our fascinating series profiling young stroke investigators from around the globe continues with the spotlight on Dar Dowlatshahi from Canada. We hope to see you at the coming World Stroke Congress!
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.170 | 0.091 |
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".