Literature DB >> 25534913

Can we measure long-term treatment effects in multiple sclerosis?

Maria Pia Sormani1, Paolo Bruzzi2.   

Abstract

The gold standard for measuring treatment effects is the randomized controlled trial. In patients with multiple sclerosis (MS), trial durations are typically 2-3 years, and the long-term effects of drugs for MS can only be assessed through trial extensions or observational studies that take advantage of data from registries or large single-centre databases. The main limitation of observational studies is an unavoidable selection bias that is introduced through nonrandom assignment of the intervention. Propensity score methods can mitigate this bias by balancing the groups with respect to baseline covariates, but this approach cannot correct for unmeasurable confounding factors. Extensions of clinical trials are free from selection biases because of the initial randomization, but they can only provide an assessment of early versus delayed treatment effects. Here, we discuss these methodological issues and analyse how they have been managed in studies of the long-term effects of IFN-β in patients with MS.

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Year:  2014        PMID: 25534913     DOI: 10.1038/nrneurol.2014.237

Source DB:  PubMed          Journal:  Nat Rev Neurol        ISSN: 1759-4758            Impact factor:   42.937


  30 in total

1.  Sensitivity analyses for unmeasured confounding assuming a marginal structural model for repeated measures.

Authors:  Babette A Brumback; Miguel A Hernán; Sebastien J P A Haneuse; James M Robins
Journal:  Stat Med       Date:  2004-03-15       Impact factor: 2.373

2.  Assessing the sensitivity of regression results to unmeasured confounders in observational studies.

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Journal:  Biometrics       Date:  1998-09       Impact factor: 2.571

Review 3.  Review of inverse probability weighting for dealing with missing data.

Authors:  Shaun R Seaman; Ian R White
Journal:  Stat Methods Med Res       Date:  2011-01-10       Impact factor: 3.021

4.  Long-term subcutaneous interferon beta-1a therapy in patients with relapsing-remitting MS.

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Journal:  Neurology       Date:  2006-09-26       Impact factor: 9.910

5.  Randomised double-blind placebo-controlled study of interferon beta-1a in relapsing/remitting multiple sclerosis. PRISMS (Prevention of Relapses and Disability by Interferon beta-1a Subcutaneously in Multiple Sclerosis) Study Group.

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Journal:  Lancet       Date:  1998-11-07       Impact factor: 79.321

6.  Real-life impact of early interferon beta therapy in relapsing multiple sclerosis.

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Journal:  Ann Neurol       Date:  2009-10       Impact factor: 10.422

7.  Intramuscular interferon beta-1a for disease progression in relapsing multiple sclerosis. The Multiple Sclerosis Collaborative Research Group (MSCRG)

Authors:  L D Jacobs; D L Cookfair; R A Rudick; R M Herndon; J R Richert; A M Salazar; J S Fischer; D E Goodkin; C V Granger; J H Simon; J J Alam; D M Bartoszak; D N Bourdette; J Braiman; C M Brownscheidle; M E Coats; S L Cohan; D S Dougherty; R P Kinkel; M K Mass; F E Munschauer; R L Priore; P M Pullicino; B J Scherokman; R H Whitham
Journal:  Ann Neurol       Date:  1996-03       Impact factor: 10.422

8.  Association between use of interferon beta and progression of disability in patients with relapsing-remitting multiple sclerosis.

Authors:  Afsaneh Shirani; Yinshan Zhao; Mohammad Ehsanul Karim; Charity Evans; Elaine Kingwell; Mia L van der Kop; Joel Oger; Paul Gustafson; John Petkau; Helen Tremlett
Journal:  JAMA       Date:  2012-07-18       Impact factor: 56.272

9.  Early prediction of the long term evolution of multiple sclerosis: the Bayesian Risk Estimate for Multiple Sclerosis (BREMS) score.

Authors:  Roberto Bergamaschi; Silvana Quaglini; Maria Trojano; Maria Pia Amato; Eleonora Tavazzi; Damiano Paolicelli; Valentina Zipoli; Alfredo Romani; Aurora Fuiani; Emilio Portaccio; Carlo Berzuini; Cristina Montomoli; Stefano Bastianello; Vittorio Cosi
Journal:  J Neurol Neurosurg Psychiatry       Date:  2007-01-12       Impact factor: 10.154

10.  Recommended diagnostic criteria for multiple sclerosis: guidelines from the International Panel on the diagnosis of multiple sclerosis.

Authors:  W I McDonald; A Compston; G Edan; D Goodkin; H P Hartung; F D Lublin; H F McFarland; D W Paty; C H Polman; S C Reingold; M Sandberg-Wollheim; W Sibley; A Thompson; S van den Noort; B Y Weinshenker; J S Wolinsky
Journal:  Ann Neurol       Date:  2001-07       Impact factor: 10.422

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  16 in total

Review 1.  Treatment decisions in multiple sclerosis - insights from real-world observational studies.

Authors:  Maria Trojano; Mar Tintore; Xavier Montalban; Jan Hillert; Tomas Kalincik; Pietro Iaffaldano; Tim Spelman; Maria Pia Sormani; Helmut Butzkueven
Journal:  Nat Rev Neurol       Date:  2017-01-13       Impact factor: 42.937

2.  Retrospectively acquired cohort study to evaluate the long-term impact of two different treatment strategies on disability outcomes in patients with relapsing multiple sclerosis (RE.LO.DI.MS): data from the Italian MS Register.

Authors:  Damiano Paolicelli; Giuseppe Lucisano; Alessia Manni; Carlo Avolio; Simona Bonavita; Vincenzo Brescia Morra; Marco Capobianco; Eleonora Cocco; Antonella Conte; Giovanna De Luca; Francesca De Robertis; Claudio Gasperini; Maurizia Gatto; Paola Gazzola; Giacomo Lus; Antonio Iaffaldano; Pietro Iaffaldano; Davide Maimone; Giulia Mallucci; Giorgia T Maniscalco; Girolama A Marfia; Francesco Patti; Ilaria Pesci; Carlo Pozzilli; Marco Rovaris; Giuseppe Salemi; Marco Salvetti; Daniele Spitaleri; Rocco Totaro; Mauro Zaffaroni; Giancarlo Comi; Maria Pia Amato; Maria Trojano
Journal:  J Neurol       Date:  2019-09-18       Impact factor: 4.849

3.  Immunotherapy for people with clinically isolated syndrome or relapsing-remitting multiple sclerosis: treatment response by demographic, clinical, and biomarker subgroups (PROMISE)-a systematic review protocol.

Authors:  Thomas Lehnert; Christian Röver; Sascha Köpke; Jordi Rio; Declan Chard; Andrea V Fittipaldo; Tim Friede; Christoph Heesen; Anne C Rahn
Journal:  Syst Rev       Date:  2022-07-01

Review 4.  An update on the use of natalizumab in the treatment of multiple sclerosis: appropriate patient selection and special considerations.

Authors:  Barbara Kornek
Journal:  Patient Prefer Adherence       Date:  2015-05-19       Impact factor: 2.711

5.  Long-term safety and efficacy of teriflunomide: Nine-year follow-up of the randomized TEMSO study.

Authors:  Paul O'Connor; Giancarlo Comi; Mark S Freedman; Aaron E Miller; Ludwig Kappos; Jean-Pierre Bouchard; Christine Lebrun-Frenay; Jan Mares; Myriam Benamor; Karthinathan Thangavelu; Jinjun Liang; Philippe Truffinet; Victoria J Lawson; Jerry S Wolinsky
Journal:  Neurology       Date:  2016-02-10       Impact factor: 9.910

6.  Real-life outcomes of teriflunomide treatment in patients with relapsing multiple sclerosis: TAURUS-MS observational study.

Authors:  Boris A Kallmann; Klaus Tiel-Wilck; Jennifer S Kullmann; Ulrich Engelmann; Andrew Chan
Journal:  Ther Adv Neurol Disord       Date:  2019-03-27       Impact factor: 6.570

7.  Early High Efficacy Treatment in Multiple Sclerosis Is the Best Predictor of Future Disease Activity Over 1 and 2 Years in a Norwegian Population-Based Registry.

Authors:  Cecilia Smith Simonsen; Heidi Øyen Flemmen; Line Broch; Cathrine Brunborg; Pål Berg-Hansen; Stine Marit Moen; Elisabeth Gulowsen Celius
Journal:  Front Neurol       Date:  2021-06-17       Impact factor: 4.003

Review 8.  Efficacy and Safety of the Newer Multiple Sclerosis Drugs Approved Since 2010.

Authors:  Simon Faissner; Ralf Gold
Journal:  CNS Drugs       Date:  2018-03       Impact factor: 6.497

9.  Decision making under uncertainty, therapeutic inertia, and physicians' risk preferences in the management of multiple sclerosis (DIScUTIR MS).

Authors:  Gustavo Saposnik; Angel Perez Sempere; Roula Raptis; Daniel Prefasi; Daniel Selchen; Jorge Maurino
Journal:  BMC Neurol       Date:  2016-05-04       Impact factor: 2.474

10.  Teriflunomide in relapsing-remitting multiple sclerosis: outcomes by age and pre-treatment status.

Authors:  Boris A Kallmann; Stefan Ries; Jennifer S Kullmann; Laura M Quint; Ulrich Engelmann; Andrew Chan
Journal:  Ther Adv Neurol Disord       Date:  2021-05-18       Impact factor: 6.570

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