Literature DB >> 28087821

Selection of first-line therapy in multiple sclerosis using risk-benefit decision analysis.

David Bargiela1, Matthew T Bianchi1, M Brandon Westover1, Lori B Chibnik1, Brian C Healy1, Philip L De Jager1, Zongqi Xia2.   

Abstract

OBJECTIVE: To integrate long-term measures of disease-modifying drug efficacy and risk to guide selection of first-line treatment of multiple sclerosis.
METHODS: We created a Markov decision model to evaluate disability worsening and progressive multifocal leukoencephalopathy (PML) risk in patients receiving natalizumab (NTZ), fingolimod (FGL), or glatiramer acetate (GA) over 30 years. Leveraging publicly available data, we integrated treatment utility, disability worsening, and risk of PML into quality-adjusted life-years (QALYs). We performed sensitivity analyses varying PML risk, mortality and morbidity, and relative risk of disease worsening across clinically relevant ranges.
RESULTS: Over the entire reported range of NTZ-associated PML risk, NTZ as first-line therapy is predicted to provide a greater net benefit (15.06 QALYs) than FGL (13.99 QALYs) or GA (12.71 QALYs) treatment over 30 years, after accounting for loss of QALYs due to PML or death (resulting from all causes). NTZ treatment is associated with delayed worsening to an Expanded Disability Status Scale score ≥6.0 vs FGL or GA (22.7, 17.0, and 12.4 years, respectively). Compared to untreated patients, NTZ-treated patients have a greater relative risk of death in the early years of treatment that varies according to PML risk profile.
CONCLUSIONS: NTZ as a first-line treatment is associated with the highest net benefit across full ranges of PML risk, mortality, and morbidity compared to FGL or GA. Integrated modeling of long-term treatment risks and benefits informs stratified clinical decision-making and can support patient counseling on selection of first-line treatment options.
© 2017 American Academy of Neurology.

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Year:  2017        PMID: 28087821      PMCID: PMC5317380          DOI: 10.1212/WNL.0000000000003612

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


  20 in total

1.  Safety and efficacy of fingolimod in patients with relapsing-remitting multiple sclerosis (FREEDOMS II): a double-blind, randomised, placebo-controlled, phase 3 trial.

Authors:  Peter A Calabresi; Ernst-Wilhelm Radue; Douglas Goodin; Douglas Jeffery; Kottil W Rammohan; Anthony T Reder; Timothy Vollmer; Mark A Agius; Ludwig Kappos; Tracy Stites; Bingbing Li; Linda Cappiello; Philipp von Rosenstiel; Fred D Lublin
Journal:  Lancet Neurol       Date:  2014-03-28       Impact factor: 44.182

2.  Placebo-controlled phase 3 study of oral BG-12 or glatiramer in multiple sclerosis.

Authors:  Robert J Fox; David H Miller; J Theodore Phillips; Michael Hutchinson; Eva Havrdova; Mariko Kita; Minhua Yang; Kartik Raghupathi; Mark Novas; Marianne T Sweetser; Vissia Viglietta; Katherine T Dawson
Journal:  N Engl J Med       Date:  2012-09-20       Impact factor: 91.245

Review 3.  Immunomodulators and immunosuppressants for multiple sclerosis: a network meta-analysis.

Authors:  Graziella Filippini; Cinzia Del Giovane; Laura Vacchi; Roberto D'Amico; Carlo Di Pietrantonj; Deirdre Beecher; Georgia Salanti
Journal:  Cochrane Database Syst Rev       Date:  2013-06-06

4.  The effect of disease, functional status, and relapses on the utility of people with multiple sclerosis in the UK.

Authors:  Michelle Orme; John Kerrigan; David Tyas; Nicola Russell; Richard Nixon
Journal:  Value Health       Date:  2007 Jan-Feb       Impact factor: 5.725

5.  Quantitative risk-benefit analysis of natalizumab.

Authors:  J P Thompson; K Noyes; E R Dorsey; S R Schwid; R G Holloway
Journal:  Neurology       Date:  2008-07-29       Impact factor: 9.910

6.  Multiple sclerosis.

Authors:  Alastair Compston; Alasdair Coles
Journal:  Lancet       Date:  2008-10-25       Impact factor: 79.321

7.  Comparative effectiveness of early natalizumab treatment in JC virus-negative relapsing-remitting multiple sclerosis.

Authors:  Jonathan D Campbell; R Brett McQueen; Agusto Miravalle; John R Corboy; Timothy L Vollmer; Kavita Nair
Journal:  Am J Manag Care       Date:  2013-04       Impact factor: 2.229

8.  UK multiple sclerosis risk-sharing scheme: a new natural history dataset and an improved Markov model.

Authors:  Jacqueline Palace; Thomas Bregenzer; Helen Tremlett; Joel Oger; Feng Zhu; Fheng Zhu; Mike Boggild; Martin Duddy; Charles Dobson
Journal:  BMJ Open       Date:  2014-01-17       Impact factor: 2.692

9.  Anti-JC virus antibody levels in serum or plasma further define risk of natalizumab-associated progressive multifocal leukoencephalopathy.

Authors:  Tatiana Plavina; Meena Subramanyam; Gary Bloomgren; Sandra Richman; Amy Pace; Sophia Lee; Brian Schlain; Denise Campagnolo; Shibeshih Belachew; Barry Ticho
Journal:  Ann Neurol       Date:  2014-10-24       Impact factor: 10.422

10.  Clinically significant fatigue: prevalence and associated factors in an international sample of adults with multiple sclerosis recruited via the internet.

Authors:  Tracey J Weiland; George A Jelinek; Claudia H Marck; Emily J Hadgkiss; Dania M van der Meer; Naresh G Pereira; Keryn L Taylor
Journal:  PLoS One       Date:  2015-02-18       Impact factor: 3.240

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  7 in total

1.  Temporal trends of multiple sclerosis disease activity: Electronic health records indicators.

Authors:  Liang Liang; Nicole Kim; Jue Hou; Tianrun Cai; Kumar Dahal; Chen Lin; Sean Finan; Guergana Savovoa; Mattia Rosso; Mariann Polgar-Tucsanyi; Howard Weiner; Tanuja Chitnis; Tianxi Cai; Zongqi Xia
Journal:  Mult Scler Relat Disord       Date:  2021-10-24       Impact factor: 4.339

Review 2.  Bringing the HEET: The Argument for High-Efficacy Early Treatment for Pediatric-Onset Multiple Sclerosis.

Authors:  Marisa McGinley; Ian T Rossman
Journal:  Neurotherapeutics       Date:  2017-10       Impact factor: 7.620

3.  Outcomes of natalizumab treatment within 3 years of relapsing-remitting multiple sclerosis diagnosis: a prespecified 2-year interim analysis of STRIVE.

Authors:  Jai Perumal; Robert J Fox; Roumen Balabanov; Laura J Balcer; Steven Galetta; Shavy Makh; Sourav Santra; Christophe Hotermans; Lily Lee
Journal:  BMC Neurol       Date:  2019-06-08       Impact factor: 2.474

4.  Utilization of Time Series Tools in Life-sciences and Neuroscience.

Authors:  Harshit Gujral; Ajay Kumar Kushwaha; Sukant Khurana
Journal:  Neurosci Insights       Date:  2020-12-08

Review 5.  Altered expression of microRNAs and B lymphocytes during Natalizumab therapy in multiple sclerosis.

Authors:  André Eduardo de Almeida Franzoi; Fernanda Subtil de Moraes Machado; Washigton Luiz Gomes de Medeiros Junior; Isabelle Pastor Bandeira; Wesley Nogueira Brandão; Marcus Vinicius Magno Gonçalves
Journal:  Heliyon       Date:  2021-06-09

Review 6.  A Theoretical Paradigm for Evaluating Risk-Benefit of Status Epilepticus Treatment.

Authors:  Edilberto Amorim; Chris M McGraw; M Brandon Westover
Journal:  J Clin Neurophysiol       Date:  2020-09       Impact factor: 2.590

7.  RhoA Drives T-Cell Activation and Encephalitogenic Potential in an Animal Model of Multiple Sclerosis.

Authors:  Alba Manresa-Arraut; Flemming Fryd Johansen; Cord Brakebusch; Shohreh Issazadeh-Navikas; Henrik Hasseldam
Journal:  Front Immunol       Date:  2018-05-31       Impact factor: 7.561

  7 in total

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