Literature DB >> 24643323

Cost-effectiveness analyses in multiple sclerosis: a review of modelling approaches.

Shien Guo1, Christopher Pelligra, Catherine Saint-Laurent Thibault, Luis Hernandez, Anuraag Kansal.   

Abstract

The growing number of disease-modifying treatments (DMTs) for patients with multiple sclerosis (MS) and the high acquisition costs of these DMTs are likely to increase the demand for information on their cost effectiveness. To improve the comparability and applicability of the findings from future cost-effectiveness analyses, it would be useful to have a clear understanding of the methodological challenges of modelling the cost effectiveness of DMTs in MS and the different approaches taken by such studies to date. In contrast to previous review studies, this review focuses on long-term time horizon (≥10 years) simulation-based cost-effectiveness analyses with homogeneous contexts of analysis (i.e. those with similar study objectives, comparators, and target populations) published over the past decade. By doing so, it provides a clearer picture of how modelling approaches taken in the existing studies truly differ across studies, and reveals major areas for improvement in conducting future cost-effectiveness analyses of DMTs for patients with MS.

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Year:  2014        PMID: 24643323     DOI: 10.1007/s40273-014-0150-1

Source DB:  PubMed          Journal:  Pharmacoeconomics        ISSN: 1170-7690            Impact factor:   4.981


  43 in total

1.  Cost-effectiveness of disease-modifying therapy for multiple sclerosis: a population-based study.

Authors:  K Noyes; A Bajorska; A Chappel; S R Schwid; L R Mehta; B Weinstock-Guttman; R G Holloway; A W Dick
Journal:  Neurology       Date:  2011-07-20       Impact factor: 9.910

2.  The cost effectiveness and budget impact of natalizumab for formulary inclusion.

Authors:  Justin Bakhshai; Raymond Bleu-Lainé; Miah Jung; Jeanne Lim; Christian Reyes; Linda Sun; Charmaine Rochester; Fadia T Shaya
Journal:  J Med Econ       Date:  2010-03       Impact factor: 2.448

3.  Economic evaluation of Avonex (interferon beta-Ia) in patients following a single demyelinating event.

Authors:  Michael Iskedjian; John H Walker; Trevor Gray; Colin Vicente; Thomas R Einarson; Adel Gehshan
Journal:  Mult Scler       Date:  2005-10       Impact factor: 6.312

4.  Cost effectiveness and budget impact of natalizumab in patients with relapsing multiple sclerosis.

Authors:  Evelyn Chiao; Kellie Meyer
Journal:  Curr Med Res Opin       Date:  2009-06       Impact factor: 2.580

5.  Multiple sclerosis.

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

Review 6.  The Alzheimer's Disease Neuroimaging Initiative: a review of papers published since its inception.

Authors:  Michael W Weiner; Dallas P Veitch; Paul S Aisen; Laurel A Beckett; Nigel J Cairns; Robert C Green; Danielle Harvey; Clifford R Jack; William Jagust; Enchi Liu; John C Morris; Ronald C Petersen; Andrew J Saykin; Mark E Schmidt; Leslie Shaw; Li Shen; Judith A Siuciak; Holly Soares; Arthur W Toga; John Q Trojanowski
Journal:  Alzheimers Dement       Date:  2013-08-07       Impact factor: 21.566

7.  Daclizumab high-yield process in relapsing-remitting multiple sclerosis (SELECT): a randomised, double-blind, placebo-controlled trial.

Authors:  Ralf Gold; Gavin Giovannoni; Krzysztof Selmaj; Eva Havrdova; Xavier Montalban; Ernst-Wilhelm Radue; Dusan Stefoski; Randy Robinson; Katherine Riester; Jitesh Rana; Jacob Elkins; Gilmore O'Neill
Journal:  Lancet       Date:  2013-04-04       Impact factor: 79.321

8.  Cost-effectiveness of fingolimod versus interferon beta-1a for relapsing remitting multiple sclerosis in the United States.

Authors:  Soyon Lee; Daniel C Baxter; Brendan Limone; Matthew S Roberts; Craig I Coleman
Journal:  J Med Econ       Date:  2012-05-24       Impact factor: 2.448

9.  Economic evaluation of treating clinically isolated syndrome and subsequent multiple sclerosis with interferon beta-1b.

Authors:  Carlo Lazzaro; Cosetta Bianchi; Lucia Peracino; Paola Zacchetti; Antonio Uccelli
Journal:  Neurol Sci       Date:  2009-01-24       Impact factor: 3.307

10.  PEGylated interferon beta-1a in the treatment of multiple sclerosis - an update.

Authors:  Reinhard Reuss
Journal:  Biologics       Date:  2013-05-29
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  10 in total

Review 1.  Cost-Effectiveness Modeling in Multiple Sclerosis: Playing Around with Non-Healthcare Costs?

Authors:  Livio Garattini; Francesca Ghislandi; Milene Rangel Da Costa
Journal:  Pharmacoeconomics       Date:  2015-12       Impact factor: 4.981

2.  Modeling Approaches in Cost-Effectiveness Analysis of Disease-Modifying Therapies for Relapsing-Remitting Multiple Sclerosis: An Updated Systematic Review and Recommendations for Future Economic Evaluations.

Authors:  Luis Hernandez; Malinda O'Donnell; Maarten Postma
Journal:  Pharmacoeconomics       Date:  2018-10       Impact factor: 4.981

3.  Disease-Modifying Therapies for Multiple Sclerosis: A Systematic Literature Review of Cost-Effectiveness Studies.

Authors:  Sergio Iannazzo; Ange-Christelle Iliza; Louise Perrault
Journal:  Pharmacoeconomics       Date:  2018-02       Impact factor: 4.981

4.  Cost effectiveness of fingolimod, teriflunomide, dimethyl fumarate and intramuscular interferon-β1a in relapsing-remitting multiple sclerosis.

Authors:  Xinke Zhang; Joel W Hay; Xiaoli Niu
Journal:  CNS Drugs       Date:  2015-01       Impact factor: 5.749

5.  New insights into the burden and costs of multiple sclerosis in Europe.

Authors:  Gisela Kobelt; Alan Thompson; Jenny Berg; Mia Gannedahl; Jennifer Eriksson
Journal:  Mult Scler       Date:  2017-02-01       Impact factor: 6.312

6.  Comparative Effectiveness and Cost-Effectiveness of Natalizumab and Fingolimod in Patients with Inadequate Response to Disease-Modifying Therapies in Relapsing-Remitting Multiple Sclerosis in the United Kingdom.

Authors:  Timothy Spelman; William L Herring; Thibaut Dort; Yuanhui Zhang; Michael Tempest; Isobel Pearson; Ulrich Freudensprung; Carlos Acosta; Robert Hyde; Eva Havrdova; Dana Horakova; Maria Trojano; Giovanna De Luca; Alessandra Lugaresi; Guillermo Izquierdo; Pierre Grammond; Pierre Duquette; Raed Alroughani; Eugenio Pucci; Franco Granella; Jeannette Lechner-Scott; Patrizia Sola; Diana Ferraro; Francois Grand'Maison; Murat Terzi; Csilla Rozsa; Cavit Boz; Raymond Hupperts; Vincent Van Pesch; Celia Oreja-Guevara; Anneke van der Walt; Vilija G Jokubaitis; Tomas Kalincik; Helmut Butzkueven
Journal:  Pharmacoeconomics       Date:  2021-12-18       Impact factor: 4.981

Review 7.  Precision Medicine in Multiple Sclerosis: Future of PET Imaging of Inflammation and Reactive Astrocytes.

Authors:  Pekka Poutiainen; Merja Jaronen; Francisco J Quintana; Anna-Liisa Brownell
Journal:  Front Mol Neurosci       Date:  2016-09-15       Impact factor: 5.639

8.  Cost-effectiveness of Teriflunomide Compared to Interferon Beta-1b for Relapsing Multiple Sclerosis Patients in China.

Authors:  Yan Xu; Ningying Mao; Viktor Chirikov; Fen Du; Yu-Chen Yeh; Li Liu; Ruiqi Liu; Xin Gao
Journal:  Clin Drug Investig       Date:  2019-03       Impact factor: 2.859

9.  Predictors of Health Utility in Relapsing-Remitting and Secondary-Progressive Multiple Sclerosis: Implications for Future Economic Models of Disease-Modifying Therapies.

Authors:  Luis Hernandez; Malinda O'Donnell; Maarten Postma
Journal:  Pharmacoeconomics       Date:  2020-09-29       Impact factor: 4.981

Review 10.  How have Economic Evaluations in Relapsing Multiple Sclerosis Evolved Over Time? A Systematic Literature Review.

Authors:  Anggie Wiyani; Lohit Badgujar; Vivek Khurana; Nicholas Adlard
Journal:  Neurol Ther       Date:  2021-07-19
  10 in total

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