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Record W4412641385 · doi:10.1016/j.ebiom.2025.105863

The sodium-glutamate antagonist riluzole improves outcome after acute spinal cord injury: results from the RISCIS randomised controlled trial analysed using a global statistical analytic technique

2025· article· en· W4412641385 on OpenAlexaff
Michael G. Fehlings, Karlo M. Pedro, Mohammed Ali Alvi, Ali Moghaddamjou, James S. Harrop, Ralph Stanford, Jonathon Ball, Bizhan Aarabi, Paul M. Arnold, James D. Guest, Shekar N. Kurpad, James M. Schuster, Ahmad Nassr, Karl M. Schmitt, Jefferson R. Wilson, Darrel S. Brodke, Faiz U. Ahmad, Albert S. Yee, Wilson Z. Ray, Nathaniel P. Brooks, Jason Wilson, Diana S‐L Chow, Elizabeth G. Toups, Kevin E. Thorpe, Peng Huang

Bibliographic record

VenueEBioMedicine · 2025
Typearticle
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsSt. Michael's HospitalToronto Western HospitalUniversity of TorontoToronto Rehabilitation InstituteUniversity Health Network
FundersAO FoundationU.S. Department of Defense
KeywordsRiluzoleMedicineSpinal cord injuryPlaceboClinical trialPhysical therapyClinical endpointRandomized controlled trialInternal medicineSpinal cordAmyotrophic lateral sclerosis

Abstract

fetched live from OpenAlex

BACKGROUND: Spinal cord injury (SCI) clinical trials typically rely on a single primary endpoint to assess drug efficacy. This strategy fails to adequately capture the full impact of treatment in heterogenous neurological conditions like SCI. A more patient-centric analysis requires assessment of neurological function, functional capacity, and quality of life, incorporating meaningful patient-reported outcomes. The global statistical test (GST) addresses this challenge using a unified statistical conclusion regarding the superiority of a treatment strategy over another by evaluating multiple trial endpoints simultaneously. METHODS: The RISCIS trial (Safety and Efficacy of Riluzole in Acute Spinal Cord Injury Study) data was analysed using a multivariate nonparametric GST, integrating the total American Spinal Injury Association (ASIA) motor score (TOTM), Spinal Cord Independence Measure (SCIM), and SF-36 PCS (Short Form-36 Physical Component Scale) scores. In the RISCIS trial, patients with severe cervical SCI (AIS A, B, and C) were randomised to receive riluzole or placebo within 12 h of injury in a double blinded fashion. We compared six-month outcomes between groups using a modified O'Brien's rank sum test with sample variance adjustment. Higher summed ranks represent better global outcomes. The overall probability of improvement was computed using a summary estimate, the global treatment effect (GTE). FINDINGS: A total of 131 patients (mean age 45.8 years old, 82% males) completed the six-month outcome assessment. Among these, 49.6% were classified as AIS A, 20.6% as AIS B, and 29% as AIS C. Riluzole was administered within 12 h from injury for 14 days in 65 patients, while 66 received a placebo. The unadjusted mean change from baseline to six months showed a favourable response in the riluzole group compared to placebo across TOTM (p = 0.28 by t-test; p = 0.26 by Wilcoxon test), SCIM (p = 0.04 by t-test; p = 0.02 by Wilcoxon test), or SF-36 PCS (p = 0.23 by t-test; p = 0.21 by Wilcoxon test) scores. Using the GST to simultaneously assess these measures, the riluzole group exhibited a higher rank sum compared to placebo [median rank sum = 207 (IQR: 166-246) in riluzole vs 185 (IQR: 146-236) in placebo, p = 0.04]. Subgroup analysis revealed the greatest treatment benefit among patients with AIS A injuries (GTE = 0.16, 95% CI: 0.01-0.31, p = 0.02). At six months, the probability that riluzole treatment resulted in overall better outcomes than placebo across all assessed outcomes was 58%. INTERPRETATION: Riluzole was associated with improved global outcomes in patients with severe traumatic SCI, based on a composite score integrating ASIA total motor scores, SCIM, and SF36 outcomes at six months. Riluzole is a promising therapeutic option in SCI, but further investigation through higher-quality studies incorporating multidimensional assessments is warranted. FUNDING: No funding was received for the present work. The original clinical trial (NCT01597518) was funded by the AO Foundation, United States Department of Defense (DOD), and the Praxis Spinal Cord Institute.

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 imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.066
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.033
GPT teacher head0.427
Teacher spread0.394 · 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 teacher head, not a consensus.

Study designRandomized trial
Domainnot available
GenreEmpirical

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

Citations10
Published2025
Admission routes1
Has abstractyes

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