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Executive protocol designed for new review study called: systematic review and artificial intelligence network meta-analysis (RAIN) with the first application for COVID-19

Salari N 1 , Shohaimi S 2 , Kiaei A 3 , Hosseinian-Far A 4 , Mansouri K 5 , Ahmadi A 6 Show all authors , Mohammadi M 7

Affiliations 

  • 1 Department of Biostatistics, School of Health, Kermanshah University of Medical Sciences, Kermanshah, Iran
  • 2 Department of Biology, Faculty of Science, University Putra Malaysia, Serdang, Selangor, Malaysia
  • 3 Department of Computer Engineering, Sharif University of Technology, Tehran, Iran
  • 4 Department of Business Systems & Operations, University of Northampton, Northampton, UK
  • 5 Medical Biology Research Centre, Kermanshah University of Medical Sciences, Kermanshah, Iran
  • 6 Department of Electrical and Computer Engineering, Faculty of Engineering, University of Windsor, Windsor, Canada
  • 7 Cellular and Molecular Research Center, Gerash University of Medical Sciences, Gerash, Iran
Biol Methods Protoc, 2023;8(1):bpac038.
PMID: 36694574 DOI: 10.1093/biomethods/bpac038

Abstract

Artificial intelligence (AI) as a suite of technologies can complement systematic review and meta-analysis studies and answer questions that cannot be typically answered using traditional review protocols and reporting methods. The purpose of this protocol is to introduce a new protocol to complete systematic review and meta-analysis studies. In this work, systematic review, meta-analysis, and meta-analysis network based on selected AI technique, and for P < 0.05 are followed, with a view to responding to questions and challenges that the global population is facing in light of the COVID-19 pandemic. Finally, it is expected that conducting reviews by following the proposed protocol can provide suitable answers to some of the research questions raised due to COVID-19.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.

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