A meta-analysis on the role of pre-existing chronic disease in the cardiac complications of SARS-CoV-2 infection

  1. Jane E. Sinclair
  2. Yanshan Zhu
  3. Gang Xu
  4. Wei Ma
  5. Haiyan Shi
  6. Kun-Long Ma
  7. Chun-Feng Cao
  8. Ling-Xi Kong
  9. Ke-Qiang Wan
  10. Juan Liao
  11. Hai-Qiang Wang
  12. Matt Arentz
  13. Meredith A. Redd
  14. Linda A. Gallo
  15. Kirsty R. Short

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Abstract

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  1. Version published to 10.1016/j.isci.2021.102264
  2. Version published to 10.1101/2020.06.21.20136622v2 on medRxiv
  3. ScreenIT

    SciScore for 10.1101/2020.06.21.20136622: (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

    Software and Algorithms
    SentencesResources
    Information was accessed from four databases (PubMed, Embase, medRxiv and SSRN) using the following search terms: (“covid-19”[All Fields]) OR (“SARS-CoV-2”[All Fields]) AND (“cardiac”[All Fields] AND “comorbid*”[All Fields]).
    PubMed
    suggested: (PubMed, RRID:SCR_004846)
    Embase
    suggested: (EMBASE, RRID:SCR_001650)

    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:
    There are several limitations in our review. Firstly, the limited number of studies that met the pre-defined selection criteria disallowed correction for other variables that may confound these results. For example, it is possible that our observations were confounded by the strong effect that age has on cardiovascular health. Thus, it is not possible to conclude if people with these pre-existing conditions are just more susceptible to severe COVID-19 and thus the heart complications associated with this increased severity, or if there is indeed a cardiac-specific effect occurring. Similarly, we cannot exclude the possibility that the associations observed herein are due, at least in part, to treatments for severe COVID-19 that may damage the heart. Indeed, the experimental therapeutic hydroxychloroquine has been associated with QT interval prolongation, cardiomyopathy and heart failure [8–10]. This is likewise the case for treatments for underlying conditions, such as ACE inhibitors and ARBs which, while not known to damage the heart, may interfere with how the immune system targets the virus [78]. Information regarding which, if any, therapeutics used in these cohorts of patients was not consistently available. We anticipate that as more data on the cardiac complications become available it will be possible for future analyses to correct for these and other confounders; however, it would also be worthwhile testing the effects of each these pre-existing chronic conditions in...

    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.

  4. Version published to 10.1101/2020.06.21.20136622v1 on medRxiv