Prevalence of restless legs syndrome in adults with epilepsy: A systematic review and meta-analysis of observational studies.

INTRODUCTION: Epilepsy is a common neurological disorder that significantly contributes to the worldwide disease burden. Restless legs syndrome is sleep-related movement disorder that causes uncomfortable sensations in the legs with an irresistible urge to move them. The aim of this study is to comprehensively assess the current evidence to estimate the prevalence of restless legs syndrome (RLS) in adults with epilepsy (AWE) and to compare it to healthy controls. METHODS: PubMed, Medline, Scopus, and Web of Science databases were searched for observational studies reporting the prevalence of RLS in AWE. The modified Newcastle-Ottawa Scale (NOS) was used to evaluate the quality of the studies. Comprehensive Meta-Analysis software (version 3.0) was used to perform data analysis. The heterogeneity of the studies was assessed using the I2 index. The pooled prevalence of RLS in AWE and the odds ratio were calculated based on the random-effect model. Sensitivity analysis was assessed. A funnel plot and Egger's test were used to investigate publication bias. Subgroup analysis and univariate meta-regression analysis were done. RESULTS: Based on the analysis of 17 studies (2262 AWE patients), the prevalence of RLS was 14.9 % (95%CI, 10.4%-21 %). This rate was highest in the Americas (35.3 %; 95 % CI: 19.7-54.9 %) and lowest in Asian countries (11.6 %). The risk of RLS was significantly higher in AWE patients compared to health controls (12 studies, OR = 2.09; 95 % CI: 1.53-2.85, I2 = 91.69 %, P < 0.001). subgroup analysis showed Variations in RLS rates between studies depending on quality scores, methodology, and diagnostic criteria. The funnel plot and Egger's test suggest there was publication bias. Sensitivity analysis showed that none of the studies on their own significantly affected the results. CONCLUSIONS: This meta-analysis provides the first pooled estimate of RLS prevalence in AWE. RLS occurs in 15 out of every 100 AWE patients, and the risk is high compared to healthy controls. However, the findings need to be confirmed in future studies owing to limitations in the analysis and study design.

Google Trends as a predictive tool in the era of COVID-19: a scoping review.

Google Trends has been extensively used in different sectors from finance to tourism, the economy, fashion, the fun industry, the oil trade, and healthcare. This scoping review aims to summarize the role of Google Trends as a monitoring and a predicting tool in the COVID-19 pandemic. Inclusion criteria for this scoping review were original English-language peer-reviewed research articles on the COVID-19 pandemic conducted in 2020 using Google Trends as a search tool. Articles that were in a language other than English, were only in abstract form, or did not discuss the role of Google Trends during the COVID-19 pandemic were excluded. According to these criteria, a total of 81 studies were included to cover the period of the first year after the emergence of the crisis. Google Trends can potentially help health authorities to plan and control pandemics earlier and to decrease the risk of infection among people.