Epidemiological and clinical characteristics of early COVID-19 cases, United Kingdom of Great Britain and Northern Ireland

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Abstract

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  1. SciScore for 10.1101/2020.05.18.20086157: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIRB: Analysis involving CPRD data was approved by the Independent Scientific Advisory Group of the CPRD (ISAC, reference 20_062A) and the London School of Hygiene and Tropical Medicine Ethics Committee (reference 21815).
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Analyses were undertaken in Microsoft Excel 2010, R and Stata 16 MP. ▪ Ethical considerations: This was an observational surveillance system carried out under the permissions granted under Regulation 3 of The Health Service (Control of Patient Information) Regulations 2020, and without explicit patient permission under Section 251 of the NHS Act 2006.
    Microsoft Excel
    suggested: (Microsoft Excel, RRID:SCR_016137)

    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 were a number of limitations to this study. Firstly, the FF100 cases are a small subset of cases that were identified at the beginning of the COVID-19 epidemic in the Great Britain. They are unlikely to be representative of all GB cases of COVID-19 or of the general population, with different exposure and risk profiles. As such, the case-control study is vulnerable to selection bias. The FF100 cases are likely to be biased towards more severe cases who presented to healthcare, therefore they will underrepresent those with mild illness in the population, which may overestimate the associations between underlying health conditions and infection. The clinical presentation of FF100 cases may also differ to that of all GB cases since the imported cases (accounting for more than half of all cases) are more likely to have been of working age and may have been ‘healthier’ than the general population. This could conversely bias our estimates of associations between health conditions and infection downwards. The severity estimates are likely to be overestimates due to policy changes over the course of the study period, with hospitalisation of cases for isolation purposes initially and latterly restricting testing to hospitalised cases only. Despite having a high follow-up rate, clinical outcome was not available on some cases due to sensitivities and difficulties around ascertaining the required information, particularly for the most severe cases. Also, for some cases the timing ...

    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.
    • No funding statement was detected.
    • 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.