Back

Molecular Neuropathology and Cerebrospinal Fluid Diagnostic Biomarkers of SARS-Cov2 Infection in Central Nervous System: A Scoping Review Protocol

Kyaruzi, V. M.; Mduma, E.; Bandyopadhyay, S.; Nyalundja, A. D.; Kamabu, K.; Atron, B.; Nathan, M.; Itodo Daniel, J. O.; Elamin, Y. Z.; Marwa, B. B.; Msemo, R.; Naeem, A.; jean de Dieu, T. M.; Kumar, T. S.; Tazoah, N. B.; Chiazo, U. F.; David, S. O.; Nsavyimana, Y. J.; Bureta, C. A.; Rutabasibwa, N.; Mchome, L. L.; Shimber, E. T.; Tirsit, A.; Mfinanga, S.; Hassen, G. W.; Abdellaziz, O.; Mwakigonja, A.

2023-03-17 neurology
10.1101/2023.03.17.23287405 medRxiv
Show abstract

IntroductionDespite the broad spectrum of neurological symptomatic manifestation in COVID19 patients, the brain tissue susceptibility and permissiveness to SARS-Cov2 infection is yet uncertain. This critical appraisal aims at bridging the gap by consolidating the body of evidence for meticulous evaluation of molecular neuropathological pathways and CSF diagnostic signatures of SARS-Cov2 infection in the central nervous system (CNS) that will underpin further strategic approach for neuroprotection and treatment of neurological COVID19 Methods and AnalysisWe have developed the protocol of this review according to the provisions of Joanna Briggs Institute Reviewers Manual for Evidence Synthesis, 2015 and Arksey and O Malleys Methodological Framewotk, 2005. The articles for this review will be sourced from several electronic databases including EMBASE, PubMed, Scopus, Web of Science (WOS), Cochrane, Crossref Metadata and Semantic scholar. Herein we generated the search strategy using the medical subject headings [ MeSH Terms], term in all field bibliography at all permutations in conjunctions with boolean operators Ethical Clearance and Dissemination planHerein the review will not involve the human participants henceforth the ethical clearance approval is not applicable. We will disseminate the final findings of this review to scientific conferences at local and international level. The manuscript for final findings will be published on reputable journal of neuroscience.

Matching journals

The top 9 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.