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Record W2336694595 · doi:10.1177/2055217316634111

Delayed-release dimethyl fumarate and disability assessed by the Multiple Sclerosis Functional Composite: Integrated analysis of DEFINE and CONFIRM

2016· article· en· W2336694595 on OpenAlexaff
Gavin Giovannoni, Ralf Gold, Ludwig Kappos, Douglas L. Arnold, Amit Bar‐Or, Jing L. Marantz, Minhua Yang, Andrew Lee

Bibliographic record

VenueMultiple Sclerosis Journal - Experimental Translational and Clinical · 2016
Typearticle
Languageen
FieldMedicine
TopicMultiple Sclerosis Research Studies
Canadian institutionsMcGill UniversityNeuroRx Research (Canada)Montreal Neurological Institute and Hospital
FundersMarshall Space Flight CenterBiogen
KeywordsDimethyl fumarateMultiple sclerosisComposite numberPsychologyPhysical medicine and rehabilitationMedicineChemistryMaterials scienceImmunologyComposite material

Abstract

fetched live from OpenAlex

The effect of delayed-release dimethyl fumarate (DMF; also known as gastro-resistant DMF) on the Multiple Sclerosis Functional Composite (MSFC) was assessed using integrated Phase 3 DEFINE and CONFIRM data. Patients treated with DMF ( n = 769) demonstrated significant superiority on the MSFC, and each component, compared with placebo ( n = 771) over two years: mean change for DMF vs placebo was 0.054 vs −0.053 on MSFC; −0.088 vs −0.286 on Timed 25-Foot Walk, 0.047 vs 0.003 on 9-Hole Peg Test and 0.178 vs 0.123 on Paced Auditory Serial Addition Test. DMF was an efficacious treatment for patients with MS.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.335
Threshold uncertainty score0.909

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
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 head0.160
GPT teacher head0.363
Teacher spread0.203 · 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

Citations18
Published2016
Admission routes1
Has abstractyes

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