Evaluation of the Predictive Value of C-reactive Protein, Interleukin-6 and Their Derived Immune-Inflammatory Indices in COVID-19 Egyptian Patients

  1. Sara Taha
  2. Aalaa Shata
  3. Eman El-Sehsah
  4. Shaimaa Fouad
  5. Aya Moussa
  6. Shaimaa Abdalgeleel
  7. Nouran Moustafa
  8. Mariam Youssef

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Abstract

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  1. Version published to 10.21608/mid.2021.103331.1207
  2. ScreenIT

    SciScore for 10.1101/2021.06.28.21259644: (What is this?)

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

    Table 1: Rigor

    EthicsIRB: 2.1. Ethics: The Ain-Shams University Faculty of Medicine Research Ethics Committee’s (REC) ethical criteria were followed in this work.
    Consent: After explaining the nature and purpose of the study, each participant gave verbal informed consent.
    Sex as a biological variablePregnant women and patients with any hematological diseases, immunodeficiencies, or autoimmune disorders were excluded from the study.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Statistical analysis: Statistical analysis was performed using SPSS 20.0 (IBM Corporation, NY, USA).
    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:
    This could be attributed to the small sample size, as well as the disproportion between the study groups, and these were the study’s major limitations. More research on a larger scale and for a longer period of time is needed to determine the predictive usefulness of the proposed inflammatory indices in comparison to the other existing biomarkers, in order to slow the disease’s progression and to put the epidemic to an end.

    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.

  3. Version published to 10.1101/2021.06.28.21259644 on medRxiv