Comparative Efficacy and Safety of Pharmacological Managements for Hospitalized COVID-19 Patients: Protocol for Systematic Review and Trade-Off Network Meta-Analysis.

  1. Min Seo Kim
  2. Won Jun Kim
  3. Min Ho An

Reviewed by

Read the full article

Listed in

Log in to save this article

Abstract

Coronavirus-Disease 2019 (COVID-19) is the clinical disease caused by the SARS-CoV-2 virus, the infectious agent causing the ongoing pandemic that has impacted the lives of hundreds of millions of people in almost every nation worldwide. It is a potentially fatal disease to many vulnerable patients including the elderly and those with chronic illnesses; but because this virus is a novel one, there are no firmly established treatment protocols. Many treatment methods are being investigated worldwide, and scientific conclusions drawn from these endeavors are crucial for healthcare professionals in combating this disease. In this network meta-analysis, we focus specifically on the pharmacologic agents that have been investigated for the treatment of COVID-19 and aim to produce a comprehensive picture of the evidence from current data in order to produce relevant insights on the comparative efficacy and safety profiles of various pharmacologic agents against COVID-19.

Article activity feed

  1. ScreenIT

    SciScore for 10.1101/2020.05.18.20103697: (What is this?)

    Please note, not all rigor criteria are appropriate for all manuscripts.

    Table 1: Rigor

    Institutional Review Board Statementnot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    No key resources detected.

    Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

    Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

    Results from TrialIdentifier: No clinical trial numbers were referenced.

    Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

    Results from JetFighter: We did not find any issues relating to colormaps.

    Results from rtransparent:
    • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
    • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
    • No protocol registration statement was detected.

    About SciScore

    SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

  2. Version published to 10.1101/2020.05.18.20103697v1 on medRxiv