Risk factors and preventive interventions for post Covid-19 condition: systematic review

This article has been Reviewed by the following groups

Read the full article See related articles

Abstract

No abstract available

Article activity feed

  1. SciScore for 10.1101/2022.03.25.22272949: (What is this?)

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

    Table 1: Rigor

    Ethicsnot detected.
    Sex as a biological variableWe defined the comparator/control as people without the exposure of interest (e.g., male versus female, people without diabetes, etc.) or with different levels of the exposure (e.g., different age group or BMI category).
    RandomizationWe included peer-reviewed articles, results in trial registrations (if no report published yet), and pre-prints of primary studies, including (for KQ1) prospective/retrospective observational studies with ≥ 300 participants with Covid-19, and (for KQ2) randomized and quasi-randomized or experimental studies (e.g., controlled before-after, interrupted time series, uncontrolled before-after implementation studies), prospective or retrospective cohort studies with control groups, case-control studies, and case series/uncontrolled cohorts.
    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:
    Limitation of the evidence and future direction: Our findings are mostly applicable to longer-term consequences of Covid-19 occurring ≥22 weeks after diagnosis or illness onset as we identified only a few studies with shorter follow-up length. Also, despite the large volume of data emerging, many studies came from a hospitalized population. Of all the included studies, we identified only one that was exclusively in children who were previously hospitalized with Covid-19 (40). The study reported on several potential risk factors including age, sex, acute Covid-19 severity, obesity, and allergic diseases, however, none were identified as having a strong association with outcomes of our review. Evidence was also sparse in relation to pre-existing socioeconomic variables (e.g., race/ethnicity, income, education, employment) and marginalized groups including indigenous communities, institutionalized populations, and persons with disability, despite being listed as priority populations for Covid-19 policies by several jurisdictions. Similarly, we did not locate studies reporting on associations between Covid-19 vaccination status and long-term consequences of Covid-19. Moreover, current studies are mostly based on self-reported outcome and exposure data, which could be subject to recall bias and misclassification, and may limit generalizability of the evidence to other populations (30). There is also the possibility of over/under-estimation of the reported associations as people fr...

    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.