Blood group O is associated with post-COVID-19 syndrome in outpatients with a low comorbidity index

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Abstract

No abstract available

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  1. SciScore for 10.1101/2022.03.10.22272197: (What is this?)

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

    Table 1: Rigor

    EthicsIRB: The study was approved by the Clinical Research Ethics Committee of Cantabria (Internal Code 2021.102).
    Sex as a biological variablenot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.

    Table 2: Resources

    Antibodies
    SentencesResources
    Data collection: Three months after the acute episode (median=115 days), epidemiological variables (sex, age, body mass index -BMI, measured in kg/m2-, smoking habit, medical history, and Charlson’s comorbidity index), clinical data (number of symptoms -as a variable assimilated to ‘intensity’ of the condition [24]- and specific symptoms) and laboratory test (inflammation markers and anti-SARS-CoV-2 IgG antibodies) were collected.
    anti-SARS-CoV-2 IgG
    suggested: None
    Experimental Models: Organisms/Strains
    SentencesResources
    Given the small number of subjects in blood groups B and AB, they were classified as group O/non-O, group A/non-A, group B/non-B, and group AB/non-AB.
    AB
    suggested: RRID:BDSC_203)
    Software and Algorithms
    SentencesResources
    IBM SPSS 28.0 statistical package (Armonk, NY: IBM Corp) was used to perform the analyses.
    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:
    PCS is a challenge for clinicians, as there are no well-defined criteria to define this condition, patient-reported symptoms can be complex, changing and fluctuating, and complementary tests may be of little diagnostic value [59] This study has some limitations. Firstly, its design allows defining associations, but it does not establish causality. Secondly, it is a single-center study, on a Caucasian population, and the results may not be extrapolated to other populations. The frequencies of the ABO groups in the studied population are a confounding factor since geographical variations constitute potential bias [6]. In our case, the blood group proportions have been very similar to those in Spain (43.3% group A, 43.3% group O, and 13.4% groups B+AB). The main strength in this study is the well-characterized sample and the control group with subjects that came from the same population as the cases, and did not differ from them in any characteristics except for the PCS. Biomarkers have shown slight elevations, without exceeding the upper limit of normality (Figure 2), in a similar way to our previous study [19]. Besides, the use of composite indices of inflammation has increased the ability to detect parameters with values in the upper ranges of their distribution.

    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.