The association of D-dimers with mortality, intensive care unit admission or acute respiratory distress syndrome in patients hospitalized with coronavirus disease 2019 (COVID-19): A systematic review and meta-analysis

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Abstract

No abstract available

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  1. SciScore for 10.1101/2020.06.24.20139600: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board Statementnot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Experimental Models: Organisms/Strains
    SentencesResources
    After duplications were removed, the title and abstracts were independently screened by two reviewers (AB and VJ).
    AB
    suggested: RRID:BDSC_203)
    Software and Algorithms
    SentencesResources
    Literature Search: We carried out an electronic search in Medline (PubMed), Embase, and Cochrane database using the keywords “D-dimer” AND “Coronavirus 2019” OR “COVID 19” OR “SARS-CoV-2” OR “2019-nCoV”, between 2019 and current date (9th April, 2020).
    Medline
    suggested: (MEDLINE, RRID:SCR_002185)
    Embase
    suggested: (EMBASE, RRID:SCR_001650)
    Cochrane
    suggested: (Cochrane Library, RRID:SCR_013000)

    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:
    The major limitation of the studies included was that it is unknown as to when were the d-dimer levels obtained during the course of admission. In addition, there was a significant heterogeneity in the reported results. This was likely due to differences in study size, selection bias, and different stages at which the D-dimer values were measured. Also, since all the studies included have been performed in China, the external validity is lacking. The results of this concise meta-analysis suggest that d-dimer is significantly increased in patients having a worse clinical outcome (all-cause mortality, ICU admission or ARDS). Further studies are required to assess if the serial measurement of d-dimer plays any role in predicting evolution towards a more critical form of disease. Also, it will be imperative to know if anticoagulation therapies are of use in patients with severe COVID 19 disease.

    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.

    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.