Preprint / Version 1

Pharmacological interventions for COVID-19: Protocol for a Rapid Living Systematic Review with network meta-analysis

##article.authors##

  • Maria Eduarda dos Santos Puga Universidade Federal de São Paulo. Centro Cochrane do Brasil https://orcid.org/0000-0001-8470-861X
  • Ana Carolina Pereira Nunes Pinto MSc, Physiotherapist, PhD Student., Evidence-Based Health Program, Universidade Federal de São Paulo (UNIFESP); Professor, Biological and Health Sciences Department, Universidade Federal do Amapá (AP), Brazil and Volunteer Researcher, Cochrane Brazil, São Paulo (SP), Brazil. https://orcid.org/0000-0002-1505-877X
  • Aline Pereira da Rocha Pharmacist, PhD Student, Evidence-Based Health Program, Universidade Federal de São Paulo (UNIFESP) and Volunteer Researcher, Cochrane Brazil, São Paulo (SP), Brazil https://orcid.org/0000-0002-0863-6500
  • Keilla Martins Milby Nurse, PhD Student, Evidence-Based Health Program, Universidade Federal de São Paulo (UNIFESP) and Volunteer Researcher, Cochrane Brazil, São Paulo (SP), Brazil. https://orcid.org/0000-0003-0601-457X
  • César Ramos Rocha-Filho https://orcid.org/0000-0002-7190-0263
  • Felipe Sebastião de Assis Reis MD, MPS, Technologies and Healthcare. Manager, Medical Practices, Beneficência Portuguesa de São Paulo. https://orcid.org/0000-0002-5728-4863 VI Physical Educator. Ibirapuera University https://orcid.org/0000-0002-5728-4863
  • Nelson Carvas Junior Physical Educator. Ibirapuera University
  • Vinicius Tassoni Civile MSc, Physiotherapist, PhD Student, Evidence-Based Health Program, Universidade Federal de São Paulo (UNIFESP); Assistant Professor, Physiotherapy Course, Paulista University and Volunteer Researcher, Cochrane Brazil, São Paulo (SP), Brazil https://orcid.org/0000-0002-1718-6281
  • Rodolfo Rodrigo Pereira Santos Statistician. MSc Student, Evidence-Based Health Program, Universidade Federal de São Paulo (UNIFESP). Data Science Manager, Synova Health CRO https://orcid.org/0000-0003-1540-7586
  • Giulia Fernandes Moça Trevisani Undergraduate Medical Student at Universidade Santo Amaro, São Paulo (SP), https://orcid.org/0000-0003-3581-3047
  • Laura Jantsch Ferla Undergraduate Medical Student at Universidade Federal de São Paulo (UNIFESP), São Paulo (SP), Brazil https://orcid.org/0000-0002-8162-2068
  • Gabriel Sodré Ramalho Undergraduate Medical Student, Escola Paulista de Medicina (EPM), Universidade Federal de São Paulo (UNIFESP), São Paulo (SP), Brazil. https://orcid.org/0000-0001-7201-2308
  • Maria Eduarda dos Santos Puga Librarian .Universidade Federal de São Paulo. Centro Cochrane do Brasil. Information Specilaist Brazilian Cochrane Centre https://orcid.org/0000-0001-8470-861X
  • Virgínia Fernandes Moça Trevisani MD, MSc, PhD Rheumatologist. Discipline of Emergency and Evidence-Based Medicine, Escola Paulista de Medicina (EPM), Universidade Federal de São Paulo (UNIFESP), São Paulo (SP), Brazil
  • Alvaro Nagib Atallah MD, MSc, PhD. Nephrologist and Full Professor, Discipline of Emergency and Evidence-Based Medicine, Escola Paulista de Medicina (EPM), Universidade Federal de São Paulo (UNIFESP), and Director, Cochrane Brazil, São Paulo (SP), Brazil

DOI:

https://doi.org/10.1590/SciELOPreprints.348

Keywords:

Network Meta-analysis, drug therapy, coronavirus infections, systematic review

Abstract

CONTEXT AND OBJECTIVE: Coronavirus disease 2019 (COVID-19) has emerged in China in December 2019 and rapidly spread. Although extraordinary efforts have been made on research regarding pharmacological interventions, none have proven effective. This is the protocol for a rapid living systematic review that aims to compare the effectiveness and safety of different pharmacological interventions for the treatment of COVID-19. METHODS: rapid living systematic review methodology with Network Meta-Analysis following the recommendations of Cochrane Handbook. We will include randomized controlled trials (RCT) and quasi-RCTs that evaluate single and/or combined pharmacological interventions at any dose for the treatment of COVID-19. We will search Medline via PubMed, Embase via Elsevier, Cochrane Library - Cochrane Central Register of Controlled Trials (CENTRAL), Portal Regional BVS - LILACS, Scopus and WebofScience to identify potentially eligible studies. No language restrictions will be used in the selection. We will perform the critical appraisal of included studies with the Risk of Bias tool and the certainty of evidence will be evaluated using the Grading of Recommendations Assessment, Development and Evaluation (GRADE).

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Posted

2020-05-06

Section

Health Sciences