Role of hemogram-derived ratios and systemic-Immune inflammation index in prediction of COVID-19 progression in Egyptian patients

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Abstract

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  1. SciScore for 10.1101/2021.06.10.21258715: (What is this?)

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

    Table 1: Rigor

    EthicsIRB: Patient selection: This retrospective study was conducted in line with research regulations, including the approval of Ain-Shams University Faculty of Medicine Research Ethics Committee (REC).
    Sex as a biological variableThe study excluded pregnant women and patients with aplastic anemia, lymphoproliferative or myeloproliferative disorders, immune deficiency, and a history of taking drugs that affect blood cell counts such as epinephrine, thyroxin, or corticosteroids.
    RandomizationWe randomly selected 425 COVID-19 patients admitted to Quarantine Hospitals of Ain-Shams University (El-Obour Ain Shams University Specialized Hospital and El-demerdash Hospital), Cairo, Egypt, between February and April, 2021.
    Blindingnot detected.
    Power Analysisnot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    The statistical analysis of the data was performed using SPSS version 20.0 software.
    SPSS
    suggested: (SPSS, RRID:SCR_002865)

    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:
    One limitation in our study was its retrospective design that could not keep up with the dynamic nature of the disease; more prospective studies with serial determination of biomarkers’ levels at different disease stages are still required for better definition of the cut off points that could predict the progression of the disease. our study was its retrospective design that could not keep up with the dynamic nature of the disease; more prospective studies with serial determination of biomarkers’ levels at different disease stages are still required for better definition of the cut off points that could predict the progression of the disease.

    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.

    Results from scite Reference Check: We found no unreliable references.


    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.