Severe hospital events following symptomatic infection with Sars-CoV-2 Omicron and Delta variants in France, December 2021–January 2022: A retrospective, population-based, matched cohort study

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Abstract

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  1. SciScore for 10.1101/2022.02.02.22269952: (What is this?)

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

    Table 1: Rigor

    Ethicsnot detected.
    Sex as a biological variablenot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.

    Table 2: Resources

    No key resources detected.


    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:
    It is also important to note that the algorithm used in this study was designed according to the variants circulating in France during the study period, and might not be adaptable to other timeframes Limitations: In this study, vaccination status was characterised only by discriminating between the non-vaccinated, the primo-vaccinated and the booster-vaccinated. Studies with more power are needed to assess other parameters, such as the time between the last injection and exposure or the type of vaccine. According to a study, the injection of a booster dose reduces the risk of hospitalization of Omicron cases between 70 and 88% [19, 20] and severe forms by 98% [21]. Although, information on a known previous infection is used to determine the required number of injections (e.g. one single dose for primary vaccination in case of known previous infection), it was not possible to take into account this information in our model, but it would be useful to include it in future studies. Another limitation is the imperfect merge, by pseudonym, between the three databases: 16% of the persons fulfilling the inclusion criteria in SI-DEP were excluded because they were not found in VAC-SI. It is also possible that not all hospital events were found in SI-VIC. However, there is no reason why this loss of information should differ between the two arms of the cohort and therefore affect the risk ratios.

    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.

    Results from scite Reference Check: We found no unreliable references.


    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.