Consent-Related Outcomes in the Alteplase Compared to Tenecteplase Trial
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: In recent years, researchers have sought to address the challenges of obtaining informed consent for participation in acute stroke trials. We studied outcomes related to the use of deferral of consent in the phase 3 Alteplase Compared to Tenecteplase (AcT) trial. METHODS: As part of our protocol, we captured methods of consent, participant withdrawals, door-to-randomization times, and door-to-needle times. Participants at 3 sites were invited to complete a survey of attitudes regarding consent for AcT and for acute stroke trials generally. RESULTS: = 0.1602). Survey respondents overwhelming agreed or strongly agreed with the use of deferral of consent in AcT (86%) and in any acute stroke trial (76%). DISCUSSION: Deferral of consent was broadly acceptable to participants in the AcT trial as demonstrated by low rates of withdrawal and by survey results. Door-to-randomization times using deferral of consent in AcT were short, although a system of prospective verbal consent used at 1 center took only slightly longer. These results support the importance of innovation around consent for acute stroke trials.
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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 | 0.037 | 0.075 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".