Hydroxychloroquine for the treatment of COVID-19: the importance of scrutiny of positive trials

This article has been Reviewed by the following groups

Read the full article See related articles

Abstract

No abstract available

Article activity feed

  1. SciScore for 10.1101/2020.05.06.20093237: (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: We detected the following sentences addressing limitations in the study:
    The Fragility Index is only one method to provide insight into the value of a trial and has limitations. For example, the application to non-randomized trials is controversial as it lacks control of confounding variables. To further understand the results of Gautret et al and its applicability to future research and practice, focus should be spent on epidemiological aspects (i.e. trial design to control for confounder, inclusion/exclusion criteria, and choice of outcome), such as the analysis published by Kim et al [13]. In conclusion, the trial results reported by Gautret et al are statistically robust relative to other trials, but ideally need a higher Fragility Index and further investigation before the proposed regimen can be considered a viable treatment for COVID-19. Further analyses of the trial should be through the lens of epidemiology and clinical significance. Given the statistically robust results reported by Gautret et al, despite the study’s inherent methodological and analytical flaws, hydroxychloroquine should be studied as a potential agent against COVID-19 in larger clinical trials.

    Results from TrialIdentifier: We found the following clinical trial numbers in your paper:

    IdentifierStatusTitle
    NCT04252664SuspendedA Trial of Remdesivir in Adults With Mild and Moderate COVID…
    NCT04257656TerminatedA Trial of Remdesivir in Adults With Severe COVID-19


    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.
    • Thank you for including a protocol registration statement.

    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.