Characterizing long COVID in an international cohort: 7 months of symptoms and their impact

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Abstract

No abstract available

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  1. SciScore for 10.1101/2020.12.24.20248802: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementConsent: All respondents gave digital informed consent at the start of the survey.
    IRB: This study was approved by the UCL Research Ethics Committee [16159.002], and Oregon Health and Science University, Portland, Oregon, USA, with UCL serving as primary site.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot 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 …
  2. Our take

    This study, available as a preprint and thus not yet peer reviewed, details manifestations of “Long COVID” in a sample of 3,762 individuals (mostly white and female) who were recruited from 56 countries from patient support groups and social media, and who self-reported symptom prevalence and severity over time. Of all respondents, only 27% reported they had received a laboratory-confirmed COVID-19 diagnosis. The majority (65%) of participants experienced symptoms for more than 6 months, with fatigue, shortness of breath, and cognitive dysfunction as some of the most persistent and debilitating symptoms. However, results should be interpreted with caution, since all data were self-reported from a highly selected group of individuals who are not representative of the general population with confirmed SARS-CoV-2 …

  3. SciScore for 10.1101/2020.12.24.20248802: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementAll respondents gave digital informed consent at the start of the survey.Randomizationnot detected.Blindingnot detected.Power Analysisnot detected.Sex as a biological variableThe majority of respondents were women (78.9%, significantly more than other genders, p < 0.001, chi-squared test), white (85.3%, p < 0.001, chi-squared test), and between the ages of 30 and 60 (33.7% between ages 40-49, 27.1% ages 50-59, 26.1% 30-39).

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    For the sensorimotor textual input questions, which asked which body part was affected, natural language processing was used in Python.