Literature DB >> 21993498

The effect of gender in clinically isolated syndrome (CIS): a meta-analysis.

Ruth Dobson1, Sreeram Ramagopalan, Gavin Giovannoni.   

Abstract

BACKGROUND/
OBJECTIVE: A clinically isolated syndrome compatible with demyelination (CIS) is the initial presentation for the majority of people that go on to develop multiple sclerosis (MS). There has previously been little work examining the effect of gender on the development and progression of CIS.
METHODS: Data from observational studies of CIS were used. In total, 33 suitable studies with 4732 subjects were identified.
RESULTS: The overall relative risk (RR) of CIS in females compared with males was 2.12 (95% CI 1.94-2.32). The RR of females developing MS following CIS was 1.20 (95% CI 0.98-1.46) compared with males.
CONCLUSIONS: These data imply that the gender bias seen in MS is caused by factors acting early in the disease process.

Entities:  

Mesh:

Year:  2011        PMID: 21993498     DOI: 10.1177/1352458511426740

Source DB:  PubMed          Journal:  Mult Scler        ISSN: 1352-4585            Impact factor:   6.312


  8 in total

Review 1.  Multiple sclerosis.

Authors:  Massimo Filippi; Amit Bar-Or; Fredrik Piehl; Paolo Preziosa; Alessandra Solari; Sandra Vukusic; Maria A Rocca
Journal:  Nat Rev Dis Primers       Date:  2018-11-08       Impact factor: 52.329

2.  Paediatric acquired demyelinating syndromes: incidence, clinical and magnetic resonance imaging features.

Authors:  Michael Absoud; Ming J Lim; Wui K Chong; Christian G De Goede; Katharine Foster; Roxana Gunny; Cheryl Hemingway; Philip E Jardine; Rachel Kneen; Marcus Likeman; Ken K Nischal; Michael G Pike; Naomi A Sibtain; William P Whitehouse; Carole Cummins; Evangeline Wassmer
Journal:  Mult Scler       Date:  2012-04-19       Impact factor: 6.312

3.  Quantitative effect of sex on disease activity and disability accumulation in multiple sclerosis.

Authors:  Melinda Magyari; Nils Koch-Henriksen
Journal:  J Neurol Neurosurg Psychiatry       Date:  2022-04-07       Impact factor: 13.654

4.  Predicting outcome in clinically isolated syndrome using machine learning.

Authors:  V Wottschel; D C Alexander; P P Kwok; D T Chard; M L Stromillo; N De Stefano; A J Thompson; D H Miller; O Ciccarelli
Journal:  Neuroimage Clin       Date:  2014-12-04       Impact factor: 4.881

5.  Cerebrospinal fluid B cells and disease progression in multiple sclerosis - A longitudinal prospective study.

Authors:  Sebastian Wurth; Bettina Kuenz; Gabriel Bsteh; Rainer Ehling; Franziska Di Pauli; Harald Hegen; Michael Auer; Viktoria Gredler; Florian Deisenhammer; Markus Reindl; Thomas Berger
Journal:  PLoS One       Date:  2017-08-04       Impact factor: 3.240

6.  A Risk Score for Predicting Multiple Sclerosis.

Authors:  Ruth Dobson; Sreeram Ramagopalan; Joanne Topping; Paul Smith; Bhavana Solanky; Klaus Schmierer; Declan Chard; Gavin Giovannoni
Journal:  PLoS One       Date:  2016-11-01       Impact factor: 3.240

7.  A randomised, controlled clinical trial of narrowband UVB phototherapy for clinically isolated syndrome: The PhoCIS study.

Authors:  Prue H Hart; Anderson P Jones; Stephanie Trend; Lilian Cha; Marzena J Fabis-Pedrini; Matthew N Cooper; Catherine d'Este; Sian Geldenhuys; William M Carroll; Scott N Byrne; David R Booth; Judith M Cole; Robyn M Lucas; Allan G Kermode
Journal:  Mult Scler J Exp Transl Clin       Date:  2018-04-27

8.  MRI in predicting conversion to multiple sclerosis within 1 year.

Authors:  Ayelet Eran; Melissa García; Robair Malouf; Noam Bosak; Raz Wagner; Ester Ganelin-Cohen; Elinor Artsy; Alla Shifrin; Ayal Rozenberg
Journal:  Brain Behav       Date:  2018-08-02       Impact factor: 2.708

  8 in total

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