Biomarkers of endothelial dysfunction and outcomes in coronavirus disease 2019 (COVID-19) patients: A systematic review and meta-analysis

  1. Andrianto
  2. Makhyan Jibril Al-Farabi
  3. Ricardo Adrian Nugraha
  4. Bagas Adhimurda Marsudi
  5. Yusuf Azmi

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Abstract

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  1. Version published to 10.1016/j.mvr.2021.104224
  2. ScreenIT

    SciScore for 10.1101/2021.01.24.21250389: (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

    Software and Algorithms
    SentencesResources
    Search strategy and study selection: A systematic literature search of PubMed, PMC Europe, and the Cochrane Library Database from 1 January 2020 to 20 December 2020 was performed using the search strategy outlined in Supplementary Table S1.
    PubMed
    suggested: (PubMed, RRID:SCR_004846)
    Cochrane Library
    suggested: (Cochrane Library, RRID:SCR_013000)
    Additional records were retrieved from Google Scholar.
    Google Scholar
    suggested: (Google Scholar, RRID:SCR_008878)
    Data analysis: Stata software V.14.0 (College Station) was used for meta-analysis, and figure of estimated pooled means were produced using GraphPad Prism 9.
    GraphPad Prism
    suggested: (GraphPad Prism, RRID:SCR_002798)

    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:
    Limitation: One of the 17 studies included in this meta-analysis was a preprint article. Nevertheless, a thorough assessment has been made to make sure that only sound studies are included. Most of the included studies had a retrospective observational design, and the data were not sufficiently matched or adjusted for confounders. Moreover, our primary endpoints of composite poor outcomes vary widely from ICU admission, severe illness, worsening of the respiratory status, the need for mechanical ventilation to death. Therefore, the results must be cautiously interpreted.

    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.

  3. Version published to 10.1101/2021.01.24.21250389 on medRxiv