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  1. SciScore for 10.1101/2022.01.20.22269593: (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
    To select instrumental variables, SNPs were clumped using PLINK (v1.90) according to a linkage disequilibrium threshold of r2 < 0.001 with a clumping window of 10,000 kb using the 1000G European reference panel (9, 14) in order to select an independent SNP with the lowest P-value in each linkage disequilibrium block.
    suggested: (PLINK, RRID:SCR_001757)
    We calculated F-statistics for the exposure traits and a genetic correlation between body fat mass and body fat-free mass using LDAK (v5.1) (15).
    suggested: (LDAK, RRID:SCR_015504)

    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:
    To overcome these limitations, several MR studies have been performed to evaluate the causal relationship between obesity-related traits and COVID-19 outcomes. Among anthropometric traits including BMI, waist circumference, hip circumference, and waist-to-hip ratio, BMI showed an association with poor COVID-19 outcomes (23). However, BMI is calculated only from height and weight and does not consider body compositions. Moreover, these anthropometric traits are indirect measures of obesity and might not be accurate proxies for body fat. Therefore, it is necessary to evaluate associations between directly measured fat traits (i.e., body fat mass and body fat percentage) and COVID-19 severity. In this MR study, we adopted these directly measured traits as exposure traits and provided novel findings that indicate the causal association of body fat accumulation with severe COVID-19 outcome. We used multivariable MR since most instrumental variables of adiposity effect both fat mass and fat-free mass, although some variants more strongly and proportionally influence fat mass, whereas others influence fat-free mass more strongly. Therefore, multivariable MR can test the differential causal effects of fat mass and fat-free mass. Using this approach, recent MR studies showed differential associations between body fat mass and body fat-free mass with various disorders (10-13). The present findings extend this knowledge to COVID-19. Results from multivariable MR showed that body fat mas...

    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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