Post-Discharge Health Status and Symptoms in Patients with Severe COVID-19

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Abstract

No abstract available

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  1. SciScore for 10.1101/2020.08.11.20172742: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementConsent: This was determined by chart review or if upon consent for this study, the patient was unable to articulate the purpose of this study and what would be required of them to participate.
    IRB: NYU Grossman School of Medicine’s Institutional Review Board approved the protocol.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Instruments: Data were collected and managed using REDCap electronic data capture tools12 hosted at NYU Langone Health in order to minimize missing inputs and allow for real-time data validation and quality control.
    REDCap
    suggested: (REDCap, RRID:SCR_003445)
    Data were analyzed using SAS version 9.4 (SAS Institute, Cary, NC).
    SAS Institute
    suggested: (Statistical Analysis System, RRID:SCR_008567)

    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: Our study provides a novel contribution characterizing early post-discharge outcomes in patients who have experienced severe COVID-19 disease. In addition, immigrant communities in New York City were hit particularly hard with COVID-19 and our study included patients from diverse backgrounds, with no language exclusions: nearly one in five patients in our study completed the survey through an interpreter. However, it has some limitations. Our survey does not include objective measures of pulmonary function. We compared current state to self-reported pre-COVID state, which may be subject to recall bias; however, this would not affect the post-COVID findings. We also specifically studied the experience of sicker patients---those who required hospitalization and at least 6 liters of oxygen during admission; our results are not generalizable to those with mild COVID-19. Of note, our results may underestimate the severity of post-discharge symptoms among those with severe COVID-19, as we excluded frail elders, people with dementia, and patients from or eligible for long-term care, who might be expected to have worse outcomes, and were unable to reach several patients who had been rehospitalized. Self-reported utilization outcomes such as readmission may also be underreported.29 Longer-term outcomes are still unknown. Generalizability may be limited by its single health system design; however, our health system does encompass multiple hospitals across urb...

    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.