Persistence, prevalence, and polymorphism of sequelae after COVID-19 in unvaccinated, young adults of the Swiss Armed Forces: a longitudinal, cohort study (LoCoMo)

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Abstract

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  1. SciScore for 10.1101/2022.02.11.22270836: (What is this?)

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

    Table 1: Rigor

    NIH rigor criteria are not applicable to paper type.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    All questionnaire answers and data on the study participants were stored in the REDCap secure database with an “auto-archiver”.
    REDCap
    suggested: (REDCap, RRID:SCR_003445)
    Graphics were generated by ggplot2.
    ggplot2
    suggested: (ggplot2, RRID:SCR_014601)

    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:
    Strengths and limitations: This is a unique cohort of young Swiss, mainly male, army recruits. In contrast to other studies, we had a control group, unequivocal evidence of SARS-CoV-2 infection and our test battery yielded objective and quantitative scores for analyses. A major strength of our study is the specifically designed, comprehensive test battery to quantify possible multi-organ sequelae based on the results of a systematic review (11). A limitation of our study is the small proportion of female participants (5.6%) which precluded meaningful sex-based evaluation of sequelae in young women. Further research: The test battery developed here can be applied and even expanded for use in other population groups especially young women. We advocate further follow-up of this LoCoMo cohort and the initiation of other longitudinal studies to understand the trajectory of sequelae persistence beyond 1 year and focused research to clarify the pathophysiology and triggers of the identified sequelae and possibly the increased risk of cardiovascular disease. A clearer definition of Long-COVID or Post Acute Sequelae of COVID-19 (PASC) is also urgently needed (27) and we suggest that this should be nuanced for different population groups.

    Results from TrialIdentifier: We found the following clinical trial numbers in your paper:

    IdentifierStatusTitle
    NCT04942249Enrolling by invitationLong COVID in Military Organisations


    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.