The Albumin in Acute Stroke Trial (ALIAS); Design and Methodology
Bibliographic record
Abstract
UNLABELLED: Stroke is a serious global illness. Human albumin has emerged as a putative therapy for ischaemic stroke based on strong evidence from animal models. Following confirmation of the safety and feasibility of high-dose albumin treatment for acute ischaemic stroke in a pilot study, the Albumin in Acute Stroke trial, a phase 3 randomised, double-blinded, placebo-controlled clinical trial was initiated to evaluate the efficacy of high-dose albumin compared to saline control within 5 h of ischaemic stroke onset. METHODS: The trial will enrol 1800 patients in two cohorts--a thrombolytic and a nonthrombolytic arm. High-dose (2 g/kg) human albumin will be administered in a 2-h straight intravenous infusion to ischaemic stroke patients, within 5 h of symptom onset. The primary outcome will be an NIH stroke scale score of 0-1 or a modified Rankin scale score of 0-1 at 90 days. Safety outcomes will include the incidence of congestive heart failure after study-drug administration. RESULTS: Enrolment opened at 40 sites in August 2006; new sites continue to be added. Recruitment is ongoing and is projected to be completed by 2010. CONCLUSIONS: The trial will continue through 2010. The study is proceeding as planned.
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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 | 0.013 | 0.012 |
| Meta-epidemiology (narrow) | 0.005 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 0.005 |
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".