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Record W1969381842 · doi:10.1042/bst0341323

The ALIAS (ALbumin In Acute Stroke) Phase III randomized multicentre clinical trial: design and progress report

2006· article· en· W1969381842 on OpenAlexaff
M. D. Ginsberg, Yuko Y. Palesch, Michael D. Hill

Bibliographic record

VenueBiochemical Society Transactions · 2006
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsUniversity of Calgary
FundersNational Institute of Neurological Disorders and Stroke
KeywordsMedicineModified Rankin ScaleRandomizationPlaceboStroke (engine)Clinical trialRandomized controlled trialClinical endpointNeuroprotectionPhysical therapyInternal medicineIschemic strokeIschemiaAlternative medicinePathology

Abstract

fetched live from OpenAlex

High-dose human ALB (albumin) therapy is highly neuroprotective in animal models of ischaemic stroke. A recently completed 82-subject pilot-phase dose-escalation trial has shown that ALB is safe, with strong preliminary suggestions of possible efficacy. We are now proceeding to a large randomized, double-blinded, placebo-controlled multicentre trial funded by the NIH (National Institutes of Health), the ALIAS (Albumin In Acute Stroke) Phase III Trial, which is designed to ascertain definitively whether high-dose ALB therapy confers neuroprotection in subjects with acute ischaemic stroke treated within 5 h of stroke onset. The primary efficacy outcome measure is a favourable outcome, defined as an NIHSS (NIH Stroke Scale) score of 0-1 or a modified Rankin Scale score of 0-1 at 3 months post-randomization. Separate randomization (1:1) to ALB or placebo therapy will be carried out in two cohorts of 900 subjects each, one that receives standard-of-care thrombolytic therapy and the other that does not. Approx. 60 North American clinical sites will participate. Subject enrollment is expected to commence in July 2006.

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 imitation

Not 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.

metaresearch head score (Codex)0.011
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.015
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.007
Meta-epidemiology (narrow)0.0040.001
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0150.005

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.

Opus teacher head0.028
GPT teacher head0.353
Teacher spread0.325 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreProtocol

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".

Quick stats

Citations46
Published2006
Admission routes1
Has abstractyes

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