Association of hypertension, diabetes, stroke, cancer, kidney disease, and high-cholesterol with COVID-19 disease severity and fatality: A systematic review

  1. Nazar Zaki
  2. Hany Alashwal
  3. Sahar Ibrahim

Reviewed by

Read the full article

Listed in

Log in to save this article

Abstract

No abstract available

Article activity feed

  1. Version published to 10.1016/j.dsx.2020.07.005
  2. ScreenIT

    SciScore for 10.1101/2020.06.16.20132639: (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
    Annoy is a C++ library with Python bindings to search for documents in space that are close to a given query.
    Python
    suggested: (IPython, RRID:SCR_001658)

    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:
    While the results of this study should be read in the light of some limitations, such as the small sample size and the large age difference between study groups when patients with other comorbidities were excluded, it still provides relevant insights that could inform about how COVID-19 interacts with preexisting conditions [4]. A few recently published reports provided results suggesting that cancer patients are susceptible to COVID-19 complications. In these studies, lung cancer was most frequently observed, and the COVID-19 cases analyzed were all from hospitals in China. However, according to Moujaess E. et al. [5], such reports could lead many oncologists to change their daily practice in cancer care, without solid evidence and recommendations. The data presented should be carefully interpreted, not only because of the small sample but also because cancer patients in this cohort (mentioned in [6] for instance) had a significantly older median age than their control (63·1 vs 48·7 years) as well as a more significant history of smoking, suggesting that these two factors might be associated with the poor COVID-19 outcomes than the cancer history itself. Moreover, these results should be interpreted with caution in the absence of adjustment to the prevalence of the different comorbidities in the Chinese population [5]. Also, Xia Y., et al. [7] commented on the mentioned studies and highlighted reasons to be cautious, suggesting that current evidence remains insufficient to e...

    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.

  3. Version published to 10.1101/2020.06.16.20132639v1 on medRxiv