Neurologic safety event rates in the SENTIS trial control population
Bibliographic record
Abstract
BACKGROUND: Adverse event (AE) rates for interventional stroke trials are not well established. AIMS: We prospectively evaluated control arm AEs from a randomized stroke trial to establish expected rates of neurologic AEs. METHODS: Control data from the Safety and Efficacy of NeuroFlo Technology in Ischemic Stroke (SENTIS) Trial were evaluated. Patients were ≥ 18 years with National Institutes of Health Stroke Scale (NIHSS) scores 5-18 within 14 h of stroke onset. Follow-up was 90 days. Neurological AEs and serious AEs (SAEs) were adjudicated and the following defined times used to determine treatment relatedness: 24-h imaging for intracranial hemorrhage (ICnH) including hemorrhagic transformation, 7 days each for cerebral edema and neurologic worsening/stroke progression, and 30 days for new ischemic strokes. RESULTS: The control group included 257 patients, 49.4% female, mean age of 68.3 years, and median NIHSS of 10. Neurologic AEs occurred at the following rates: ICnH 27.6%, cerebral edema 6.6%, neurologic worsening 18.3%, and new stroke 4.7%. Most of these events occurred within the defined times: ICnH 74.6%, cerebral edema 94.1%, neurologic worsening 87.2%, and new stroke 83.3%. CONCLUSIONS: SENTIS Trial control arm neurologic events provide estimates of expected AE rates and defined times that can be used for future stroke trial's safety assessments.
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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".