COVID-19 and HIV co-infection: a living systematic evidence map of current research

  1. Gwinyai Masukume
  2. Witness Mapanga
  3. Doreen S van Zyl

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Abstract

The world currently faces two ongoing devastating pandemics. These are the new severe acute respiratory syndrome coronavirus 2/coronavirus disease 2019 (SARS-CoV-2/COVID-19) and the prior human immunodeficiency virus/acquired immune deficiency syndrome (HIV/AIDS) pandemics. The literature regarding the confluence of these global plagues expands at pace. A systematic search of the literature considering COVID-19 and HIV co-infection was performed.

After five months, from the beginning of the COVID-19 pandemic, there were at least thirty-five studies reported from thirteen countries. These ranged from individual case reports and series to cohort studies. Based on studies that could be extrapolated to the general population, co-infected individuals with suppressed HIV viral loads did not have disproportionate COVID-19 sickness and death. At least four patients, newly diagnosed with HIV recovered from COVID-19. Current evidence suggests that co-infected patients should be treated like the general population.

This ongoing living systematic evidence map of contemporary primary SARS-CoV-2 and HIV co-infection research provides a platform for researchers, policy makers, clinicians and others to more quickly discover and build relevant insights.

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  1. ScreenIT

    SciScore for 10.1101/2020.06.04.20122606: (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
    The Boolean search approach, for 2020 literature, (COVID* OR SARS-CoV-2 OR severe acute respiratory syndrome OR coronavirus OR corona virus) AND (HIV OR AIDS OR human immunodeficiency virus), was used for each database (PubMed search strategy).
    PubMed
    suggested: (PubMed, RRID:SCR_004846)
    Searches were supplemented by a hand search of references and by use of the ‘cited by’ feature of Google Scholar.
    Google Scholar
    suggested: (Google Scholar, RRID:SCR_008878)
    All records that were identified from the searches were collated into EndNote software.
    EndNote
    suggested: (EndNote, RRID:SCR_014001)

    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: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

    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.

  2. Version published to 10.1101/2020.06.04.20122606v1 on medRxiv