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Efficacy of Teriflunomide in Early-Stage MS: Reanalysis of the TOPIC Study Using 2010 McDonald Diagnostic Criteria (P7.274)

2015· article· en· W1467009401 on OpenAlexaff
Flavia Nelson, François Evoy, Thomas Berger, Philippe Truffinet, Déborah Bauer, Aaron Miller, Jerry S. Wolinsky

Bibliographic record

VenueNeurology · 2015
Typearticle
Languageen
FieldMedicine
TopicLymphoma Diagnosis and Treatment
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsTeriflunomideMillerStage (stratigraphy)MedicineFamily medicinePsychiatryMultiple sclerosis

Abstract

fetched live from OpenAlex

OBJECTIVE: To reanalyze TOPIC study outcomes applying 2010 McDonald diagnostic criteria. BACKGROUND: TOPIC (NCT00622700), a phase 3 study conducted from 2008-2012, evaluated the efficacy and safety of teriflunomide in patients with first clinical episode suggestive of MS. Primary and key secondary endpoints in TOPIC were met: teriflunomide 14mg reduced the risk of relapse determining conversion to clinically definite MS (CDMS) vs placebo by 43[percnt] (P=0.0087) and of a new clinical relapse or magnetic resonance imaging (MRI) lesion by 35[percnt] (P=0.0003). The 7mg dose was also superior to placebo, with a smaller effect. The 2010 revisions to the McDonald diagnostic criteria allow for earlier diagnosis of MS at the first clinical episode in some patients. DESIGN/METHODS: Patients with clinically isolated syndrome (CIS; n=614) were treated with teriflunomide 14mg, 7mg, or placebo for up to 108 weeks. The 2010 revised criteria were applied retrospectively; patients were grouped according to baseline disease characteristics meeting 2010 criteria, not meeting 2010 criteria, or unclassifiable (insufficient information). Time to new clinical relapse or MRI lesion was analyzed for patients not meeting 2010 criteria. Using these 3 groups, subgroup analyses were performed for primary and key secondary endpoints. RESULTS: For patients not meeting 2010 criteria (n=245), probability of new clinical relapse or MRI lesion at 108 weeks was 54.1[percnt] (teriflunomide 14mg), 63.0[percnt] (teriflunomide 7mg), and 74.4[percnt] (placebo). Teriflunomide treatment reduced the probability of conversion to CDMS by 39.1[percnt] (14mg, P=0.0222) or 38.3[percnt] (7mg, P=0.0265) vs placebo. There was no evidence of differential treatment effect across the 3 subgroups for the primary and key secondary efficacy endpoints (P>0.1 for all treatment-by-subgroup interactions). CONCLUSIONS: This analysis shows the efficacy of teriflunomide for the treatment of CIS according to 2010 McDonald criteria and confirms the consistency of treatment effect using various endpoints/diagnostic criteria. Study Supported by: Genzyme, a Sanofi company.

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)0.013
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.069

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.005
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.049
GPT teacher head0.319
Teacher spread0.270 · 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 designMeta-analysis
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

Citations2
Published2015
Admission routes1
Has abstractyes

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