Post-COVID-19 syndrome, low-grade inflammation and inflammatory markers: a cross-sectional study

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Abstract

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  1. SciScore for 10.1101/2021.07.07.21260092: (What is this?)

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

    Table 1: Rigor

    EthicsConsent: All of them expressed their verbal consent and there was no refusal to participate.
    IRB: The study was approved by the Cantabria Clinical Research Ethics Committee (Internal Code 2021.102)
    Sex as a biological variableApplying the high ranges of the markers distributions and expressed as criteria, 5 composite indices were finally selected and in a second step, they were applied to the whole sample and to the subsamples of females and males (Table 1).
    RandomizationWith this aim, we divided the sample into two random halves and used one of them to build and select the indices.
    Blindingnot detected.
    Power Analysisnot detected.

    Table 2: Resources

    Antibodies
    SentencesResources
    We included confirmed COVID-19 cases by a positive result in the real-time reverse transcription-polymerase chain reaction test (RT-PCR) or by the presence of IgG antibodies against SARS-CoV-2, three months after the acute episode.
    SARS-CoV-2
    suggested: None
    Finally, the variables obtained from the evaluation after 3 months of the acute episode (median=115 days), consisted of a structured clinical interview and a blood sample including inflammation markers and SARS-CoV-2 IgG antibodies.
    SARS-CoV-2 IgG
    suggested: None

    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 study has several limitations that must be taken into account. Firstly, its cross-sectional design, which allows establishing associations but not inferring causality. It has been carried out on patients from a single Primary Health Care center (semi-urban, in the north of Spain, with a Caucasian population), and the results may not be extrapolated to other populations or geographical areas. Furthermore, successive stratification can lead to a loss of statistical power and a high risk of a type II error.As a point of interest, the composite indices, that have increased the performance in detecting slight elevations of the inflammation markers and at the same time, have provided cut-off points that can be applied in the clinical setting. In addition, the stratified analysis by sex has made it possible to identify differences that would otherwise be hidden, for example, by analyzing sex as an adjustment variable.

    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.