1. SciScore for 10.1101/2021.07.17.21260655: (What is this?)

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

    Table 1: Rigor

    EthicsField Sample Permit: This study was done in compliance with Act 008430/1993 of the Ministry of Health of the Republic of Colombia, which classified it as minimal-risk research.
    Consent: All the patients were asked for their consent and were informed about the Colombian data protection law (1581 of 2012).
    IRB: The institutional review board of the Universidad del Rosario approved the study design. 2.2.
    Sex as a biological variablenot detected.
    RandomizationFor this analysis, 25 random sets were used, and a final optimal number of clusters were obtained based on the average silhouette width.
    Blindingnot detected.
    Power Analysisnot detected.
    Cell Line AuthenticationAuthentication: Patients were systematically evaluated for post-COVID manifestations (see below), including depression and autonomic symptoms by validated scales, as well as for clinical characteristics during the acute COVID-19.

    Table 2: Resources

    All patients were tested for total anti-SARS-CoV-2 antibodies (see below for details).
    suggested: None
    Antibodies anti-SARS-CoV2: Total IgG, IgA and IgM antibodies to SARS-CoV-2 were evaluated in serum samples through the Elecsys Anti-SARS-CoV-2 electrochemiluminescence immunoassay “ECLIA” (Roche Diagnostics International AG, Rotkreuz, Switzerland).
    anti-SARS-CoV2: Total IgG
    suggested: None
    suggested: None
    The Elecsys anti-SARS-CoV-2 S assay detects antibodies to SARS-CoV-2 Receptor Binding Domain (RBD) in a double-antigen sandwich assay format.
    SARS-CoV-2 Receptor Binding Domain (RBD
    suggested: None
    Software and Algorithms
    Autonomic symptoms were evaluated by COMPASS 31 [14, 18]. 2.4.
    suggested: (COMPASS, RRID:SCR_015874)
    PubMed was systematically searched for published and unpublished studies.
    suggested: (PubMed, RRID:SCR_004846)
    To summarize the diverse information of frequencies of post-COVID manifestations, a meta-analysis approach was employed using Metafor R package (http://www.jstatsoft.org/v36/i03/).
    suggested: (metaphor, RRID:SCR_003450)

    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.

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