dc.contributor.author | Daneshvar, Sara | |
dc.date.accessioned | 2023-02-15T04:44:29Z | |
dc.date.available | 2023-02-15T04:44:29Z | |
dc.date.issued | 2022 | en_US |
dc.identifier.uri | https://dspace.tbzmed.ac.ir:443/xmlui/handle/123456789/68260 | |
dc.description.abstract | Late-onset multiple sclerosis (LOMS) is defined as symptoms initiating after the age of 50. Misdiagnosis and a remarkable gap in diagnosis of LOMS is a challenge of the elderly population so in this article we described the proportion of LOMS and the clinical features and phenotype of the disease in this age group.
Methods: After registration of the study protocol, an electronic search was performed in 3 databases and for full coverage of the published studies, we also checked the references of each related article. Articles with quantitative data were included in meta-analysis
Results: 31 studies met our inclusion criteria for the systematic review, and 11 of them were included in the quantitative synthesis. Meta-analysis reached a 5.01% (95% CI: 3.78% to 6.57%), proportion of LOMS in total MS cases and prevalence was higher in women (64.46%). The most prevalent first disease presentation of LOMS was motor dysfunction (ranges between 100% to 35.4%) followed by sensory problems (ranges between 94% to 5%), visual symptoms (ranges between 22.9% to 5%), and brainstem dysfunction (ranges between 25% to 12.3%). 2.2% - 12.5% of the LOMS cases had a positive family history. | en_US |
dc.language.iso | fa | en_US |
dc.publisher | Tabriz University of Medical Sciences, Faculty of Medicine | en_US |
dc.relation.isversionof | https://dspace.tbzmed.ac.ir:443/xmlui/handle/123456789/68259 | en_US |
dc.subject | Multiple sclerosis | en_US |
dc.subject | LOMS | en_US |
dc.subject | Clinical features | en_US |
dc.subject | Systematic review | en_US |
dc.subject | Meta-analysis | en_US |
dc.title | Clinical Features of Late-Onset Multiple Sclerosis: a Systematic Review and Meta-analysis | en_US |
dc.type | Thesis | en_US |
dc.contributor.supervisor | Talebi, Mahnaz | |
dc.identifier.docno | 010832 | en_US |
dc.identifier.callno | 10832 | en_US |
dc.description.discipline | Medicine | en_US |
dc.description.degree | MD Degree | en_US |