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10.1016/j.yebeh.2020.107682 http://scihub22266oqcxt.onion/10.1016/j.yebeh.2020.107682 33342709!7833461!33342709     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=33342709&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215       Epilepsy+Behav 2021 ; 115 (?): 107682 Nephropedia Template TP {{tp|p=33342709|t=2021. Meta-analysis of EEG findings in patients with COVID-19 |pdf=|usr=}}{{33342709}} gab.com Text Meta-analysis of EEG findings in patients with COVID-19 JO: Epilepsy Behav http://www.kidney.de/pget.php?&tw=1&pmid=33342709 #FOAvip OBJECTIVE: To perform a systematic review and meta-analysis to summarize and quantitatively evaluate the electroencephalogram (EEG) findings in patients with coronavirus disease 2019 (COVID-19). METHODS: The MEDLINE, CENTRAL, and ClinicalTrials.Gov databases were comprehensively assessed and searched for observational studies with EEG findings in patients with COVID-19. Pooled proportions of EEG findings with 95% confidence intervals (CIs) were assessed using a random effects model. The quality of assessment for each study, heterogeneity between the studies, and publication bias were also evaluated. RESULTS: In total, 12 studies with 308 patients were included in the meta-analysis. Abnormal background activity and generalized slowing in the pooled proportions were common findings among the patients with COVID-19 (96.1% [95% CI: 89.4-99.9]; I(2)?=?60%; p?<?0.01 and 92.3% [95% CI: 81.2-99.3]; I(2)?=?74%; p?<?0.01, respectively). The proportion of patients with epileptiform discharges (EDs) was 20.3% ([95% CI: 9.85-32.9]; I(2)?=?78%; p?<?0.01). The proportion of EDs varied between patients with a history of epilepsy or seizures (59.5% [95% CI: 33.9-83.2]; I(2)?=?0%; p?=?0.49) and patients without them (22.4% [95% CI: 10.4-36.4]; I(2)?=?46%; p?=?0.07). The findings of seizures and status epilepticus on EEG were observed in 2.05% ([95% CI: 0.02-6.04]; I(2)?=?39%; p?=?0.08) and 0.80% ([95% CI: 0.00.-3.69]; I(2)?=?28%; p?=?0.17) of the patients, respectively. CONCLUSION: The proportion of abnormal background activity in patients with COVID-19 was high (96.1%). Epileptiform discharges were present in 20.3% of the cases and the proportion varied between people who had a history of epilepsy/seizure and those who did not. However, the proportion of seizures and status epilepticus on EEG was low (2.05% and 0. 80%, respectively). Twit Text FOAVip Meta-analysis of EEG findings in patients with COVID-19 ????Epilepsy Behav http://www.kidney.de/pget.php?&tw=1&pmid=33342709 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33342709 #FOAvip English Wikipedia <ref>{{Cite pmid|33342709}}</ref> Meta-analysis of EEG findings in patients with COVID-19 #MMPMID33342709 Kubota T; Gajera PK; Kuroda N Epilepsy Behav 2021[Feb]; 115 (?): 107682 PMID33342709show ga OBJECTIVE: To perform a systematic review and meta-analysis to summarize and quantitatively evaluate the electroencephalogram (EEG) findings in patients with coronavirus disease 2019 (COVID-19). METHODS: The MEDLINE, CENTRAL, and ClinicalTrials.Gov databases were comprehensively assessed and searched for observational studies with EEG findings in patients with COVID-19. Pooled proportions of EEG findings with 95% confidence intervals (CIs) were assessed using a random effects model. The quality of assessment for each study, heterogeneity between the studies, and publication bias were also evaluated. RESULTS: In total, 12 studies with 308 patients were included in the meta-analysis. Abnormal background activity and generalized slowing in the pooled proportions were common findings among the patients with COVID-19 (96.1% [95% CI: 89.4-99.9]; I(2)?=?60%; p? |COVID-19/*epidemiology/*physiopathology[MESH] |Clinical Trials as Topic/methods[MESH] |Electroencephalography/*methods[MESH] |Epilepsy/*epidemiology/*physiopathology[MESH]Meta-analysis of EEG findings in patients with COVID-19 (epmc).pdf DeepDyve Pubget Overpricing