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Record W1996440725 · doi:10.1089/neu.2013.2909

Analysis of Recruitment and Outcomes in the Phase I/IIa Cethrin Clinical Trial for Acute Spinal Cord Injury

2013· article· en· W1996440725 on OpenAlexaff
Lisa McKerracher, Kim D. Anderson

Bibliographic record

VenueJournal of Neurotrauma · 2013
Typearticle
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsMcGill University
Fundersnot available
KeywordsMedicineClinical trialTolerabilitySpinal cord injuryPlaceboAdverse effectPopulationInternal medicineSpinal cordAnesthesiaPathology

Abstract

fetched live from OpenAlex

The Cethrin™ clinical trial was an open-label Phase I/IIa trial undertaken to assess the safety, tolerability, and neurological status of patients with acute spinal cord injury (SCI) who were treated with escalating doses of Cethrin, a therapeutic protein drug that inactivates Rho. Recruitment, motor scores, and data on adverse events of treated patients have been reported (Fehlings et al.).(24) While determining efficacy in a small open-label study is not possible, it is important to understand if the results warrant further clinical study, because clinical trial failures have wide ranging impacts. We have examined the clinical data to analyze time to recruitment and sensory outcomes, and compared the outcomes with available registry and placebo data. The average time to recruitment was 52 h, and there was a trend to improved sensory scores in treated patients with thoracic injury. An analysis of patients who recovered two motor levels or more suggests that there may be a larger responder population in the Cethrin-treated participants than in historical controls. We examined time to recruitment and found that the extent of motor and sensory recovery could not be explained by early surgery, and the Cethrin-treated patients showed favorable trends compared with the Surgical Timing in Acute SCI data. The trends reported here indicate that further study of Cethrin is warranted and provide useful guidance to establish effective clinical protocols.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.655
Threshold uncertainty score0.330

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.481
GPT teacher head0.603
Teacher spread0.122 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations51
Published2013
Admission routes1
Has abstractyes

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