L. Mahmudi, Moslem Moslemirad, Bafrin Dabestani, M. Shohani, M. Azami
{"title":"伊朗多发性硬化症患者的临床和人口统计学特征:一项系统回顾和荟萃分析","authors":"L. Mahmudi, Moslem Moslemirad, Bafrin Dabestani, M. Shohani, M. Azami","doi":"10.2217/FNL-2018-0025","DOIUrl":null,"url":null,"abstract":"Aim: This study was conducted to determine the clinical and demographic features in Iranian multiple sclerosis (MS) patients including clinical courses, positive MS family history, disability and age of disease onset. Materials & methods: All stages of the study were reported according to the PRISMA guidelines. A systematic review of published literature in Persian and English journals with a comprehensive search was conducted on English international databases including Scopus, PubMed/Medline, Cochrane Library, Science Direct, Web of Science, Embase, PsycINFO, as well as the Google Scholar search engine and national databases. Results: The prevalence of clinical courses of relapsing remitting, primary progressive, secondary progressive and relapsing progressive in Iranian patients with MS was 77.1% (95% CI: 72.2–81.3), 6.2% (95% CI: 4.1–9.2), 9.5% (95% CI: 6.8–13.1) and 0.4% (95% CI: 0.2–0.8), respectively. Positive family history of MS in Iranian MS patients was 8.9% (95% CI: 6.9–11.4). The mean age of disease onset was 28.9 years (95% CI: 27.8–30.1). Conclusion: The results of this meta-analysis in an Iranian population can provide useful information for neurologists and healthcare.","PeriodicalId":12606,"journal":{"name":"Future Neurology","volume":" ","pages":""},"PeriodicalIF":0.6000,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.2217/FNL-2018-0025","citationCount":"7","resultStr":"{\"title\":\"Clinical and demographic features in Iranian multiple sclerosis patients: a systematic review and meta-analysis\",\"authors\":\"L. Mahmudi, Moslem Moslemirad, Bafrin Dabestani, M. Shohani, M. Azami\",\"doi\":\"10.2217/FNL-2018-0025\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Aim: This study was conducted to determine the clinical and demographic features in Iranian multiple sclerosis (MS) patients including clinical courses, positive MS family history, disability and age of disease onset. Materials & methods: All stages of the study were reported according to the PRISMA guidelines. A systematic review of published literature in Persian and English journals with a comprehensive search was conducted on English international databases including Scopus, PubMed/Medline, Cochrane Library, Science Direct, Web of Science, Embase, PsycINFO, as well as the Google Scholar search engine and national databases. Results: The prevalence of clinical courses of relapsing remitting, primary progressive, secondary progressive and relapsing progressive in Iranian patients with MS was 77.1% (95% CI: 72.2–81.3), 6.2% (95% CI: 4.1–9.2), 9.5% (95% CI: 6.8–13.1) and 0.4% (95% CI: 0.2–0.8), respectively. Positive family history of MS in Iranian MS patients was 8.9% (95% CI: 6.9–11.4). The mean age of disease onset was 28.9 years (95% CI: 27.8–30.1). Conclusion: The results of this meta-analysis in an Iranian population can provide useful information for neurologists and healthcare.\",\"PeriodicalId\":12606,\"journal\":{\"name\":\"Future Neurology\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2019-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.2217/FNL-2018-0025\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Future Neurology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2217/FNL-2018-0025\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Future Neurology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2217/FNL-2018-0025","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
Clinical and demographic features in Iranian multiple sclerosis patients: a systematic review and meta-analysis
Aim: This study was conducted to determine the clinical and demographic features in Iranian multiple sclerosis (MS) patients including clinical courses, positive MS family history, disability and age of disease onset. Materials & methods: All stages of the study were reported according to the PRISMA guidelines. A systematic review of published literature in Persian and English journals with a comprehensive search was conducted on English international databases including Scopus, PubMed/Medline, Cochrane Library, Science Direct, Web of Science, Embase, PsycINFO, as well as the Google Scholar search engine and national databases. Results: The prevalence of clinical courses of relapsing remitting, primary progressive, secondary progressive and relapsing progressive in Iranian patients with MS was 77.1% (95% CI: 72.2–81.3), 6.2% (95% CI: 4.1–9.2), 9.5% (95% CI: 6.8–13.1) and 0.4% (95% CI: 0.2–0.8), respectively. Positive family history of MS in Iranian MS patients was 8.9% (95% CI: 6.9–11.4). The mean age of disease onset was 28.9 years (95% CI: 27.8–30.1). Conclusion: The results of this meta-analysis in an Iranian population can provide useful information for neurologists and healthcare.
期刊介绍:
The neurological landscape is changing rapidly. From the technological perspective, advanced molecular approaches and imaging modalities have greatly increased our understanding of neurological disease, with enhanced prospects for effective treatments in common but very serious disorders such as stroke, epilepsy, multiple sclerosis and Parkinson’s disease. Nevertheless, at the same time, the healthcare community is increasingly challenged by the rise in neurodegenerative diseases consequent upon demographic changes in developed countries.