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Long-Term Efficacy and Safety of Fingolimod (FTY720) in Relapsing-Remitting Multiple Sclerosis (RRMS): Results from the Extension of the Phase III FREEDOMS Study (S41.004)

2012· article· en· W2316958950 on OpenAlexaff
L Kappos, EW Radue, P. O’Connor, CH Polman, R Hohlfeld, Peter A. Calabresi, Krzysztof Selmaj, Catherine Agoropoulou, Ji-Qiang Jin, Lixin Zhang-Auberson, G. Francis

Bibliographic record

VenueNeurology · 2012
Typearticle
Languageen
FieldMedicine
TopicMultiple Sclerosis Research Studies
Canadian institutionsSt. Michael's Hospital
Fundersnot available
KeywordsRelapsing remittingFingolimodMultiple sclerosisMedicineTerm (time)Extension (predicate logic)ImmunologyComputer sciencePhysics

Abstract

fetched live from OpenAlex

Objective: To report long-term efficacy and safety of fingolimod in RRMS, from the phase III FREEDOMS study extension. Background RRMS patients randomized to oral, once-daily(o.d), fingolimod (0.5mg or 1.25mg) in the 2-year, double-blind, FREEDOMS core study, demonstrated a significant improvement in clinical and MRI endpoints versus placebo (PBO)-treated patients. We present here end of study (EOS) results from the extension phase of upto 4 years treatment. Design/Methods: In the extension, patients either continued on the core phase dose (continuous-fingolimod), or were re-randomized (1:1) from placebo to fingolimod (1.25 or 0.5mg/o.d) (PBO-fingolimod). All patients received open-label 0.5mg following a decision to discontinue the fingolimod 1.25mg/day treatment arm from all MS studies. Results: 1033/1272 (81.2%) patients enrolled in FREEDOMS completed the 24M core, and 773/920 (84%) patients enrolled in the extension (60.7% of initially randomized) completed the study. Common reasons for discontinuations were withdrawal of consent (7.2%) and adverse events (AE) (3.4%). Annualized relapse rates (ARR) decreased in the switch/PBO-fingolimod group during the extension phase (PBO-1.25mg, 0.22; PBO- 0.5mg, 0.19) versus the core (ARR= 0.4; p Conclusions: Patients who switched from placebo to fingolimod showed significant improvements in clinical and MRI outcomes (including brain atrophy). Continuous fingolimod treatment was associated with sustained low clinical and MRI disease activity and was well-tolerated. Supported by: Novartis Pharma AG, Basel, Switzerland. Disclosure: Dr. Kappos has received research support from Acorda Therapeutics, Actelion, Allozyne, BaroFold, Inc., Bayer Pharmaceuticals Corporation, Bayhill Therapeutics, Biogen Idec, Boehringer Ingelheim Pharmaceuticals, Inc, Elan Corporation, Genmab, GlaxoSmithKline, Inc., Glenmark Pharma, Merck Serono, MediciNova, Novartis, Sanofi-Aventis Pharmaceuticals, Santhera Pharmaceuticals, Shire, Roche Diagnostics, Teva Neuroscience, UCB Pharma, Pfizer Inc, Swiss MS Society, Swiss National Research Foundation, European Union, Gianni Rubatto Foundation, Novartis and Roche Research Foundations. Dr. Radue has received personal compensation for activities with AIM, Biogen Idec, and Novartis as a consultant.Dr. Radue has received research support from Actelion, Bayer Schering, Biogen Idec, Merck Serono, and Novartis. Dr. O9Connor has received personal compensation for activities with Abbott Labratories, Inc., Bayer Pharmaceuticals Corporation, Biogen Idec, BioMS, Cognosci, Daiichi Pharmaceuticals Corporation, Serono, Inc., Genentech, Inc., Genmab, Novartis, Roche Diagnostics Corporation, Sanofi-Aventis Pharmaceuticals, Inc., Teva Neuroscience, Warburg Pincus and Wyeth Pharmaceuticals as a consultant. Dr. O9Connor has received research support from Abbott Labratories, Bayer Pharmaceuticals Corporation, Biogen Idec, BioMS, Cognosci, Daiichi Pharmaceutical Corporation, Serono, Inc., Genentech, Inc., Genmab, Novartis, Roche Diagnostics Corporation, Sanofi-Aventis Pharmaceuticals, Teva Neuroscience, Warburg Pincus and Wyeth Pharmaceuticals. Dr. Polman has received personal compensation for activities with Biogen Idec, Schering AG, Teva Neuroscience, EMD Serono, Novartis, GlaxoSmithKline, Inc., UCB Pharma, AstraZeneca Pharmaceuticals, Roche Diagnostics and Antisense Therapeutics as a consultant or speaker.Dr. Polman has received research support from Biogen Idec, Schering AG, GlaxoSmithKline, Inc., Novartis, EMD Serono and Teva Neuroscience. Dr. Hohlfeld has received personal compensation for activities with Schering AG, Merck-Serono, Biogen Idec, Teva Neuroscience, Boehringer Ingelheim Pharmaceuticals, Inc.,Novartis, Sanofi-Aventis Pharmaceuticals, Inc. as a consultant and/or speaker. Dr. Hohlfeld has received personal compensation in an editorial capacity for International MS Journal.Dr. Hohlfeld has received research support from Schering AG, Merck-Serono, Biogen Idec, Teva Neuroscience, Norvartis. Dr. Calabresi has received personal compensation for activities with Teva, Biogen Idec, Novartis, Genzyme, Johnson & Johnson, and Vertex. Dr. Calabresi has received research support from Biogen Idec, Teva, EMD Serono, Vertex, Genentech, Abbott, and Bayer. Dr. Selmaj has received personal compensation for activities with Genzyme, Ono, and Biogen Idec. Dr. Agoropoulou has received personal compensation for activities with Novartis Pharma AG as an employee. Dr. Jin has received personal compensation for activities with Novartis Pharma AG. Dr. Zhang-Auberson has received personal compensation for activities with Novartis as an employee. Dr. Francis has received personal compensation for activities with Novartis as an employee. Dr. Francis holds stock and/or stock options in Novartis, which sponsored research in which Dr. Francis was involved as an investigator.

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)0.004
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.079
GPT teacher head0.326
Teacher spread0.246 · 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 designNon-randomized 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

Citations12
Published2012
Admission routes1
Has abstractyes

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