Literature DB >> 27356025

Current and emerging treatment of multiple sclerosis.

Felecia M Hart, Jacquelyn Bainbridge1.   

Abstract

The treatment of multiple sclerosis (MS) falls into 3 categories: treatment of exacerbations, slowing disease progression with disease-modifying therapies (DMTs), and symptomatic therapies. The management of MS is becoming increasingly complex with the development of additional DMTs that, like the older DMTs, reduce the frequency and severity of relapses, and the accumulation of lesions detected by magnetic resonance imaging. Initiating treatment to slow or reverse inflammatory lesion formation early in the course of the disease is advocated as a way to prevent accumulation of disability. Nevertheless, there is a lack of comparative efficacy data and few clinical guidelines to aid healthcare providers in the optimal selection of DMTs. Given that some of the newer agents are associated with potentially serious, but rare, adverse events, careful consideration of the risk-benefit profile is necessary to minimize the risk to patients. This article provides an overview of the existing treatments for MS with an emphasis on DMTs and emerging therapies.

Entities:  

Mesh:

Year:  2016        PMID: 27356025

Source DB:  PubMed          Journal:  Am J Manag Care        ISSN: 1088-0224            Impact factor:   2.229


  14 in total

1.  Genetic variants and cognitive functions in patients with brain tumors.

Authors:  Denise D Correa; Jaya Satagopan; Axel Martin; Erica Braun; Maria Kryza-Lacombe; Kenneth Cheung; Ajay Sharma; Sofia Dimitriadoy; Kelli O'Connell; Siok Leong; Sasan Karimi; John Lyo; Lisa M DeAngelis; Irene Orlow
Journal:  Neuro Oncol       Date:  2019-10-09       Impact factor: 12.300

2.  Sephin1, which prolongs the integrated stress response, is a promising therapeutic for multiple sclerosis.

Authors:  Yanan Chen; Joseph R Podojil; Rejani B Kunjamma; Joshua Jones; Molly Weiner; Wensheng Lin; Stephen D Miller; Brian Popko
Journal:  Brain       Date:  2019-02-01       Impact factor: 13.501

3.  Early use of fingolimod is associated with better clinical outcomes in relapsing-remitting multiple sclerosis patients.

Authors:  Massimo Filippi; Federica Esposito; Miryam Cannizzaro; Laura Ferré; Ferdinando Clarelli; Antonino Giordano; Francesca Sangalli; Bruno Colombo; Giancarlo Comi; Lucia Moiola; Vittorio Martinelli
Journal:  J Neurol       Date:  2022-06-27       Impact factor: 6.682

4.  Association of Spectral-Domain OCT With Long-term Disability Worsening in Multiple Sclerosis.

Authors:  Jeffrey Lambe; Kathryn C Fitzgerald; Olwen C Murphy; Angeliki G Filippatou; Elias S Sotirchos; Grigorios Kalaitzidis; Elena Vasileiou; Nicole Pellegrini; Esther Ogbuokiri; Brandon Toliver; Nicholas J Luciano; Simidele Davis; Nicholas Fioravante; Ohemaa Kwakyi; Hunter Risher; Ciprian M Crainiceanu; Jerry L Prince; Scott D Newsome; Ellen M Mowry; Shiv Saidha; Peter A Calabresi
Journal:  Neurology       Date:  2021-03-02       Impact factor: 9.910

5.  Long-term safety and efficacy of daclizumab beta in relapsing-remitting multiple sclerosis: 6-year results from the SELECTED open-label extension study.

Authors:  Ralf Gold; Ernst-Wilhelm Radue; Gavin Giovannoni; Krzysztof Selmaj; Eva Kubala Havrdova; Xavier Montalban; Dusan Stefoski; Till Sprenger; Randy R Robinson; Sami Fam; Jonathan Smith; Spyros Chalkias; Giorgio Giannattasio; Gabriel Lima; Wanda Castro-Borrero
Journal:  J Neurol       Date:  2020-05-25       Impact factor: 4.849

6.  Prolonging the integrated stress response enhances CNS remyelination in an inflammatory environment.

Authors:  Yanan Chen; Rejani B Kunjamma; Molly Weiner; Jonah R Chan; Brian Popko
Journal:  Elife       Date:  2021-03-23       Impact factor: 8.140

7.  Dynamics of Central Remyelination and Treatment Evolution in a Model of Multiple Sclerosis with Optic Coherence Tomography.

Authors:  Rocío Benítez-Fernández; Carolina Melero-Jerez; Carmen Gil; Enrique J de la Rosa; Ana Martínez; Fernando de Castro
Journal:  Int J Mol Sci       Date:  2021-02-28       Impact factor: 5.923

8.  Treatment patterns and comorbid burden of patients newly diagnosed with multiple sclerosis in the United States.

Authors:  David M Kern; M Soledad Cepeda
Journal:  BMC Neurol       Date:  2020-08-11       Impact factor: 2.474

9.  Machine learning classifier to identify clinical and radiological features relevant to disability progression in multiple sclerosis.

Authors:  Silvia Tommasin; Sirio Cocozza; Alessandro Taloni; Costanza Giannì; Nikolaos Petsas; Giuseppe Pontillo; Maria Petracca; Serena Ruggieri; Laura De Giglio; Carlo Pozzilli; Arturo Brunetti; Patrizia Pantano
Journal:  J Neurol       Date:  2021-05-10       Impact factor: 4.849

10.  The Impact of Motor Disability and the Level of Fatigue on Adherence to Therapeutic Recommendations in Patients with Multiple Sclerosis Treated with Immunomodulation.

Authors:  Robert Ślusarz; Joanna Olkiewicz; Robert Bonek; Karolina Filipska; Monika Biercewicz; Adam Wiśniewski
Journal:  Int J Med Sci       Date:  2021-08-27       Impact factor: 3.738

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.