1. SciScore for 10.1101/2021.07.15.21260576: (What is this?)

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

    Table 1: Rigor

    Ethicsnot detected.
    Sex as a biological variablenot detected.
    RandomizationInclusion/exclusion criteria: Studies were included in this review if they met the criteria as follows: Inclusion criteria: 1) Adult patients with laboratory-confirmed COVID-19; 2) biomarker reflecting platelet size (i.e., MPV, PDW and/or P-LCR); 3) investigation of an association between a biomarker reflecting platelet size and disease severity and/or mortality in COVID-19; 4) original (experimental) research including randomised controlled trials, case-control studies, cohort studies, cross-sectional, case reports and series of cases.;
    Blindingnot detected.
    Power Analysisnot detected.

    Table 2: Resources

    Software and Algorithms
    We carried out a systematic search of the literature from Medline, Embase, PubMed, Web of Science, the Cochrane Central Register of Controlled
    suggested: (MEDLINE, RRID:SCR_002185)
    suggested: (EMBASE, RRID:SCR_001650)
    suggested: (PubMed, RRID:SCR_004846)
    All the statistical heterogeneity was assessed using RevMan v5.4.1 (2020).
    suggested: (RevMan, RRID:SCR_003581)
    For unreported p values, an appropriate t-test was performed using Graphpad v9.1.1 (2021) if raw data was available.
    suggested: (GraphPad, RRID:SCR_000306)

    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 of the study: Heterogeneity was explored by conducting sensitivity analyses, minimizing the effect of possible confounders. Specifically, the day the blood test was performed and clinical outcome measures. Our data established that these parameters did not influence the results of the meta-analysis for MPV and P-LCR in severe patients, and for all three platelet size biomarkers in non-survivors. A limitation of our study was that most of the included studies were cross-sectional retrospective. Thus, the studies were dependent on the data that was entered into a clinical database and not collected for research from a predesigned protocol. Consequently, some key statistics may not be measured due to unavailable data, and certain variables that have the potential to impact the outcome may not have been recorded at all. For example, only one study excluded patients who had taken platelet medication for >10 days prior to the study [29]. In addition to this, many studies did not describe the full process of the blood collection and analysis as it was conducted by hospital staff prior to the start of the study. This could weaken the conclusions made by the authors. As an example, Wang et al [25] concludes that an MPV-to-lymphocyte ratio of >8.9 was a high risk for COVID-19 severity. However, without a description of the blood test methodology, clinicians cannot determine what laboratory conditions this cut-off would apply to, as different conditions can giv...

    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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