COVID-19 Among People Living with HIV: A Systematic Review

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Abstract

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  1. SciScore for 10.1101/2020.07.11.20151688: (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
    Literature search: Following the Systematic Reviews and Meta-Analyses (PRISMA) checklist (see supplementary file S1) and the Peer Review of Electronic Search Strategies (9) guideline (10, 11), we searched PubMed, Scopus, Web of Science, Embase, preprint databases (medRxiv, bioRxiv, Preprints), the references of publications found, and the “cited by” feature of Google Scholar from December 1, 2019 to June 1, 2020 for studies published in English.
    PubMed
    suggested: (PubMed, RRID:SCR_004846)
    Embase
    suggested: (EMBASE, RRID:SCR_001650)
    Google Scholar
    suggested: (Google Scholar, RRID:SCR_008878)

    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:
    We acknowledge additional limitations of our study. First, while a large proportion of COVID-19 patients are asymptomatic or have mild symptoms, all of the patients in this review were symptomatic, and most were admitted to a hospital. This study therefore refers only to patients with confirmed diagnosis of COVID-19 and may over-represent those with severe COVID-19 disease. Second, the lack of appropriate comparison groups, particularly for the case reports and case series, is a limitation to identifying factors associated with COVID-19-HIV co-infection. Third, many of the studies included in our review had small sample size. Fourth, without a population- or probability-based survey of PLHIV, the true prevalence of COVID-19 and disease manifestations among PLHIV remain unknown. To the best of our knowledge, no study has yet measured COVID-19-HIV co-infection in a wider or representative cross-section of the population. Fifth, since most of the patients included in the studies reviewed were immunologically and virologically stable, we could not conduct subgroup analyses based on low CD4 cell count or high viral load to directly measure the association of HIV-related immunosuppression and severity of COVID-19 disease. Such subgroup analyses should be investigated in future studies. Finally, in the context of urgent care for large numbers of patients, HIV may not be divulged, asked for, or recorded and therefore under-assessed among COVID-19 patients.

    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.