Long-COVID post-viral chronic fatigue and affective symptoms are associated with oxidative damage, lowered antioxidant defenses and inflammation: a proof of concept and mechanism study

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Abstract

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  1. SciScore for 10.1101/2022.04.25.22274251: (What is this?)

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

    Table 1: Rigor

    EthicsConsent: All controls and patients, or their parents/legal guardians, gave written informed permission before participation in the research.
    IRB: The research was approved by the University of Kufa’s institutional ethics board (8241/2021) and the Najaf Health Directorate-Training and Human Development Center (Document No.18378/ 2021).
    Sex as a biological variableAdditionally, pregnant and breastfeeding women were omitted from this study.
    Randomizationnot detected.
    Blindings alpha >0.7, and rho A >0.8 with an average variance extracted (AVE) > 0.5, b) all LV loadings are > 0.6 at p < 0.001, c) the model fit is < 0.08 in terms of standardized root mean squared residual (SRMR), d) confirmatory tetrad analysis shows that the LV was not incorrectly specified as a reflective model, e) blindfolding shows that the construct’s cross-validated redundancy is adequate, and f) the model’s prediction ability as evaluated using PLSPredict is adequate.
    Power AnalysisUsing an effect size of 0.23, a p-value of 0.05, a power of 0.8, and three groups with up to five variables in an analysis of variance, the sample size should be around 151 participants.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    All statistical analyses were conducted using IBM SPSS Windows, version 28.
    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: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

    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.