Literature DB >> 33024022

Treatment Response Score to Glatiramer Acetate or Interferon Beta-1a.

Francesca Bovis1, Tomas Kalincik1, Fred Lublin1, Gary Cutter1, Charles Malpas1, Dana Horakova1, Eva Kubala Havrdova1, Maria Trojano1, Alexandre Prat1, Marc Girard1, Pierre Duquette1, Marco Onofrj1, Alessandra Lugaresi1, Guillermo Izquierdo1, Sara Eichau1, Francesco Patti1, Murat Terzi1, Pierre Grammond1, Roberto Bergamaschi1, Patrizia Sola1, Diana Ferraro1, Serkan Ozakbas1, Gerardo Iuliano1, Cavit Boz1, Raymond Hupperts1, Francois Grand'Maison1, Celia Oreja-Guevara1, Vincent van Pesch1, Elisabetta Cartechini1, Thor Petersen1, Ayse Altintas1, Aysun Soysal1, Cristina Ramo-Tello1, Pamela McCombe1, Recai Turkoglu1, Helmut Butzkueven1, Jerry S Wolinsky1, Claudio Solaro1, Maria Pia Sormani2.   

Abstract

OBJECTIVE: To compare the effectiveness of glatiramer acetate (GA) vs intramuscular interferon beta-1a (IFN-β-1a), we applied a previously published statistical method aimed at identifying patients' profiles associated with efficacy of treatments.
METHODS: Data from 2 independent multiple sclerosis datasets, a randomized study (the Combination Therapy in Patients With Relapsing-Remitting Multiple Sclerosis [CombiRx] trial, evaluating GA vs IFN-β-1a) and an observational cohort extracted from MSBase, were used to build and validate a treatment response score, regressing annualized relapse rates (ARRs) on a set of baseline predictors.
RESULTS: The overall ARR ratio of GA to IFN-β-1a in the CombiRx trial was 0.72. The response score (made up of a linear combination of age, sex, relapses in the previous year, disease duration, and Expanded Disability Status Scale score) detected differential response of GA vs IFN-β-1a: in the trial, patients with the largest benefit from GA vs IFN-β-1a (lower score quartile) had an ARR ratio of 0.40 (95% confidence interval [CI] 0.25-0.63), those in the 2 middle quartiles of 0.90 (95% CI 0.61-1.34), and those in the upper quartile of 1.14 (95% CI 0.59-2.18) (heterogeneity p = 0.012); this result was validated on MSBase, with the corresponding ARR ratios of 0.58 (95% CI 0.46-0.72), 0.92 (95% CI 0.77-1.09,) and 1.29 (95% CI 0.97-1.71); heterogeneity p < 0.0001).
CONCLUSIONS: We demonstrate the possibility of a criterion, based on patients' characteristics, to choose whether to treat with GA or IFN-β-1a. This result, replicated on an independent real-life cohort, may have implications for clinical decisions in everyday clinical practice.
© 2020 American Academy of Neurology.

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Year:  2020        PMID: 33024022      PMCID: PMC7905777          DOI: 10.1212/WNL.0000000000010991

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   9.910


  18 in total

1.  PROBLEMS OF EXPERIMENTAL TRIALS OF THERAPY IN MULTIPLE SCLEROSIS: REPORT BY THE PANEL ON THE EVALUATION OF EXPERIMENTAL TRIALS OF THERAPY IN MULTIPLE SCLEROSIS.

Authors:  G A SCHUMACHER; G BEEBE; R F KIBLER; L T KURLAND; J F KURTZKE; F MCDOWELL; B NAGLER; W A SIBLEY; W W TOURTELLOTTE; T L WILLMON
Journal:  Ann N Y Acad Sci       Date:  1965-03-31       Impact factor: 5.691

2.  Using Big Data to Emulate a Target Trial When a Randomized Trial Is Not Available.

Authors:  Miguel A Hernán; James M Robins
Journal:  Am J Epidemiol       Date:  2016-03-18       Impact factor: 4.897

3.  EFFECTIVELY SELECTING A TARGET POPULATION FOR A FUTURE COMPARATIVE STUDY.

Authors:  Lihui Zhao; Lu Tian; Tianxi Cai; Brian Claggett; L J Wei
Journal:  J Am Stat Assoc       Date:  2013-01-01       Impact factor: 5.033

4.  A proof-of-concept application of a novel scoring approach for personalized medicine in multiple sclerosis.

Authors:  Fabio Pellegrini; Massimiliano Copetti; Francesca Bovis; David Cheng; Robert Hyde; Carl de Moor; Bernd C Kieseier; Maria Pia Sormani
Journal:  Mult Scler       Date:  2019-05-30       Impact factor: 6.312

5.  Placebo-controlled phase 3 study of oral BG-12 for relapsing multiple sclerosis.

Authors:  Ralf Gold; Ludwig Kappos; Douglas L Arnold; Amit Bar-Or; Gavin Giovannoni; Krzysztof Selmaj; Carlo Tornatore; Marianne T Sweetser; Minhua Yang; Sarah I Sheikh; Katherine T Dawson
Journal:  N Engl J Med       Date:  2012-09-20       Impact factor: 91.245

6.  MSBase: an international, online registry and platform for collaborative outcomes research in multiple sclerosis.

Authors:  H Butzkueven; J Chapman; E Cristiano; F Grand'Maison; M Hoffmann; G Izquierdo; D Jolley; L Kappos; T Leist; D Pöhlau; V Rivera; M Trojano; F Verheul; J P Malkowski
Journal:  Mult Scler       Date:  2006-12       Impact factor: 6.312

7.  Comparative effectiveness of glatiramer acetate and interferon beta formulations in relapsing-remitting multiple sclerosis.

Authors:  Tomas Kalincik; Vilija Jokubaitis; Guillermo Izquierdo; Pierre Duquette; Marc Girard; Pierre Grammond; Alessandra Lugaresi; Celia Oreja-Guevara; Roberto Bergamaschi; Raymond Hupperts; Francois Grand'Maison; Eugenio Pucci; Vincent Van Pesch; Cavit Boz; Gerardo Iuliano; Ricardo Fernandez-Bolanos; Shlomo Flechter; Daniele Spitaleri; Edgardo Cristiano; Freek Verheul; Jeannette Lechner-Scott; Maria Pia Amato; Jose Antonio Cabrera-Gomez; Maria Laura Saladino; Mark Slee; Fraser Moore; Orla Gray; Mark Paine; Michael Barnett; Eva Havrdova; Dana Horakova; Timothy Spelman; Maria Trojano; Helmut Butzkueven
Journal:  Mult Scler       Date:  2014-12-05       Impact factor: 6.312

Review 8.  Diagnostic criteria for multiple sclerosis: 2005 revisions to the "McDonald Criteria".

Authors:  Chris H Polman; Stephen C Reingold; Gilles Edan; Massimo Filippi; Hans-Peter Hartung; Ludwig Kappos; Fred D Lublin; Luanne M Metz; Henry F McFarland; Paul W O'Connor; Magnhild Sandberg-Wollheim; Alan J Thompson; Brian G Weinshenker; Jerry S Wolinsky
Journal:  Ann Neurol       Date:  2005-12       Impact factor: 10.422

9.  Defining responders to therapies by a statistical modeling approach applied to randomized clinical trial data.

Authors:  Francesca Bovis; Luca Carmisciano; Alessio Signori; Matteo Pardini; Joshua R Steinerman; Thomas Li; Aaron P Tansy; Maria Pia Sormani
Journal:  BMC Med       Date:  2019-06-18       Impact factor: 8.775

Review 10.  Comparative effectiveness of beta-interferons and glatiramer acetate for relapsing-remitting multiple sclerosis: systematic review and network meta-analysis of trials including recommended dosages.

Authors:  G J Melendez-Torres; Xavier Armoiry; Rachel Court; Jacoby Patterson; Alan Kan; Peter Auguste; Jason Madan; Carl Counsell; Olga Ciccarelli; Aileen Clarke
Journal:  BMC Neurol       Date:  2018-10-03       Impact factor: 2.474

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