Rationale, design and critical end points for the Riluzole in Acute Spinal Cord Injury Study (RISCIS): a randomized, double-blinded, placebo-controlled parallel multi-center trial
Bibliographic record
Abstract
BACKGROUND: Riluzole is a sodium channel-blocking agent used in treating amyotrophic lateral sclerosis. It has been approved by the U.S. Food and Drug Administration, Canadian and Australian authorities, and in many other countries. A phase I trial of riluzole for acute spinal cord injury (SCI) provided safety and pharmacokinetic data and suggested neuroprotective benefits. A phase IIB/III double-blinded randomized controlled trial (RCT) started in January 2014 (https://clinicaltrials.gov, NCT01597518). This article describes the pathophysiological rationale, preclinical experience and design of the phase IIB/III RCT of Riluzole in Acute Spinal Cord Injury Study (RISCIS). OBJECTIVES: The primary objective of the trial is to evaluate the superiority of riluzole, at a dose of 100 mg BID in the first 24 h followed by 50 mg BID for the following 13 days post injury, compared with placebo in improving neurological motor outcomes in patients with C4-C8 level, International Standards for Neurological Classification of Spinal Cord Injury Examination (ISNCSCI) grade A, B or C acute (within 12 h post injury) SCI. SETTING: Acute trauma centers worldwideMethods:A double-blind, multi-center, placebo-controlled RCT will enroll 351 participants randomized 1:1 to riluzole and placebo. The primary end point is the change between 180 days and baseline in ISNCSCI Motor Score. This study has 90% power to detect a change of nine points in ISNCSCI Motor Score at one-sided α=0.025. RESULTS: Currently enrolling in 11 centers. CONCLUSION: This study will provide class I evidence regarding the safety and neuroprotective efficacy of riluzole in patients with acute cervical SCI.
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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 | 0.055 | 0.041 |
| Meta-epidemiology (narrow) | 0.008 | 0.003 |
| Meta-epidemiology (broad) | 0.008 | 0.005 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.007 | 0.007 |
| Insufficient payload (model declined to judge) | 0.026 | 0.008 |
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".