No benefit of hydroxychloroquine on SARS-CoV-2 viral load reduction in non-critical hospitalized patients with COVID-19

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Abstract

No abstract available

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  1. SciScore for 10.1101/2020.06.16.20133066: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIRB: The patients were included after approval of the study by the Hospital Research Ethics Committee (CEP n. 4.013.602).
    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 results of this study must be interpreted in light of methodological limitations. All patients included were hospitalized with moderate severity neither critical nor mild and the difference in viral load may be less striking than a large inclusion could demonstrate. In addition, it is possible that measuring viral load in the nasopharynx may not fully capture the total amount of virus shed by an individual. Patients were selected based on the availability of samples that had tested positive for COVID-19. Therefore, the sampling time of all serial samples for each patient presented some variation. To reduce any bias, we categorized all patients using the ΔCt and Δt analysis to minimize that limitation. In conclusion, we did not observe any change in viral load in vivo with the use of HCQ.

    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.