Management of rheumatic diseases in the time of covid-19 pandemic: perspectives of rheumatology practitioners from India

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Abstract

No abstract available

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  1. SciScore for 10.1101/2020.04.03.20048389: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIRB: Checklist for Reporting Results of Internet E-surveys was adhered to.[5] Exemption from review was obtained from the institute ethics committee (2018-62-IP-EXP) of SGPGIMS, Lucknow as per local guidelines.[
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    No key resources detected.


    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:
    Mhaskar et al. have reported 73% concordance between decision analysis driven by expert consensus with evidence gathered from RCTs.[17] Considering the potential limitations of generating evidence in the face of a global crises, it might be imperative to embark on a Delphi exercise to generate expert-opinion, while data from COVID-19 rheum registries in progress is awaited.[18] The present survey provides perspectives on rheumatology care during the COVID-19 pandemic from a single country and the response rate was modest, albeit represents the viewpoint of a large number of rheumatologists. The findings of the survey may help shape future evidence-based opinions on managing patients with IS during COVID-19 pandemic.

    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.