Background Coronaviruses mainly affect the respiratory system; however, there are reports of SARS-CoV and MERS-CoV causing neurological manifestations. We aimed at discussing the various neurological manifestations of SARS-CoV-2 infection and to estimate the prevalence of each of them. Methods We searched the following electronic databases; PubMed, MEDLINE, Scopus, EMBASE, Google Scholar, EBSCO, Web of Science, Cochrane Library, WHO database, and ClinicalTrials.gov . Relevant MeSH terms for COVID-19 and neurological manifestations were used. Randomized controlled trials, non-randomized controlled trials, case-control studies, cohort studies, cross-sectional studies, case series, and case reports were included in the study. To estimate the overall proportion of each neurological manifestations, the study employed meta-analysis of proportions using a random-effects model. Results Pooled prevalence of each neurological manifestations are, smell disturbances (35.8%; 95% CI 21.4–50.2), taste disturbances (38.5%; 95%CI 24.0–53.0), myalgia (19.3%; 95% CI 15.1–23.6), headache (14.7%; 95% CI 10.4–18.9), dizziness (6.1%; 95% CI 3.1–9.2), and syncope (1.8%; 95% CI 0.9–4.6). Pooled prevalence of acute cerebrovascular disease was (2.3%; 95%CI 1.0–3.6), of which majority were ischaemic stroke (2.1%; 95% CI 0.9–3.3), followed by haemorrhagic stroke (0.4%; 95% CI 0.2–0.6), and cerebral venous thrombosis (0.3%; 95% CI 0.1–0.6). Conclusions Neurological symptoms are common in SARS-CoV-2 infection, and from the large number of cases reported from all over the world daily, the prevalence of neurological features might increase again. Identifying some neurological manifestations like smell and taste disturbances can be used to screen patients with COVID-19 so that early identification and isolation is possible.

Background and Objectives: The Bobath approach, also known as neurodevelopmental treatment (NDT), is a widely used concept in the rehabilitation of stroke patients with hemiparesis in many countries. This technique is being used since years all over the world; however, strong evidence of its usefulness is still not present. This review is aimed to find out its effectiveness based on the randomized controlled trials in the rehabilitation of stroke patients with motor disability and to compare it with other therapeutic techniques. Materials and Methods: A systematic literature search on PubMed Central, Science-Direct, Cochrane, Scopus, Clinical Trial Database, and Indian Clinical Trial Registry in English till 31 st July 2021 was undertaken. The review is published in Prospective Register of Systematic Reviews (PROSPERO) with registration number “CRD42019125400.” Physiotherapy Evidence-based Database (PEDro) score has been used for the quality assessment of the studies. Randomized clinical trials that studied the comparative effect of the NDT/Bobath concept on motor activity outcomes and cognition/behavior in stroke patients in comparison with other rehabilitative techniques were included. Results: No strong documentation describing the effectiveness of this neuro-developmental treatment or its supporting neuro-developmental treatment in comparison with other advanced neuro-physiotherapeutic techniques has been found so as to consider it as the recommended treatment for post-stroke hemiplegia/hemiparesis. Methodological aspects of selected studies for further research are suggested. Interpretation and Conclusions: This study is inconclusive in determining the effectiveness of the Bobath approach for the movement rehabilitation of stroke patients. These results are similar to the results of previous reviews done on the same topic.

Post-stroke epilepsy is a common complication of ischemic stroke which adversely affects the prognosis of patients. Clinical and radiological parameters cannot adequately predict the risk. Therefore, the discovery of biomarkers is imperatively needed for predicting post-stroke epilepsy. We conducted a systematic review of diagnostic and prognostic biomarkers for post-stroke epilepsy through a comprehensive literature search in different databases. All articles that met our inclusion criteria were assessed for quality using the modified Quality Assessment of Diagnostic Accuracy Studies questionnaire. Eight eligible studies were included in this systematic review. Out of 22 assessed biomarkers, nine biomarkers showed significant association with post-stroke epilepsy. The T allele of CD40 (cluster of differentiation 40) −1C/T polymorphism, the CC genotype of TRPM6 (transient receptor potential cation channel subfamily M member 6) rs2274924, the allele polymorphism of MAD2 (mitochondrial aldehyde dehydrogenase 2), the mRNA level of interleukin-6 (IL-6), the plasma level of endostatin, and the mRNA expression of IL-1β show a positive correlation with post-stroke epilepsy; while S100 calcium-binding protein B, heat shock 70 kDa protein-8 and neuropeptide Y are inversely associated with post-stroke epilepsy. As a small number of patients were recruited, further studies are needed to confirm their potential use for predicting post-stroke epilepsy.