Neurological manifestations of patients with mild-to-moderate COVID-19 attending a public hospital in Lima, Peru

  1. Marco H. Carcamo Garcia
  2. Diego D. Garcia Choza
  3. Brenda J. Salazar Linares
  4. Monica M. Diaz

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Abstract

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  1. Version published to 10.1016/j.ensci.2021.100338
  2. ScreenIT

    SciScore for 10.1101/2021.03.16.21253736: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementConsent: Following explanation of the study procedures and obtaining verbal consent, a face-to-face interview was performed by the physician.
    IRB: Ethical Considerations: This study was approved by the Instituto de Evaluación de Tecnologías en Salud e Investigación (IETSI) COVID-19-specific ethics committee on July 13, 2020.
    Randomizationnot detected.
    Blindingnot detected.
    Power AnalysisOur sample of 165 patients with neurological symptoms and 34 without neurological symptoms had a power of 87% to detect differences of 30% or more of the prevalence of comorbidities or non-neurological symptoms.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Antibodies
    SentencesResources
    Inclusion criteria were: age greater than 18 years and confirmed COVID-19 infection by real-time reverse transcriptase-polymerase chain reaction (rt-PCR) or by rapid antibody test (either IgM and/or IgG positive).
    rt-PCR
    suggested: None

    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:
    Our study has several limitations. First, this was a cross-sectional study that captured data from participants at the time of hospital admission and did not track their clinical status over time. Thus, we do not have information on their hospital admission course, discharge or outcomes during or after hospitalization. Given the cross-sectional nature of the study, we cannot comment on whether patients presenting with mild symptoms to a public hospital in Peru have greater risk of worse outcomes if they had a neurological symptom at disease onset. Second, the study did not assess temporal patterns of neurological symptoms, thus we do not know which symptoms may have presented first and in what sequence. Third, this was a population of patients presenting with mild respiratory symptoms to a public hospital in Lima, Peru, thus we are unable to extrapolate results to other geographic regions of Peru, such as more rural regions, or to patients with moderate-to-severe symptoms of COVID-19 in Peru. Moreover, at the time of this study, rt-PCR testing was not widely available in public hospitals in Lima, Peru, thus serological antibody testing for confirmation of COVID-19 exposure was considered the most appropriate measure for diagnosis of acute COVID-19. Because we followed the diagnostic and management guidelines of public Peruvian hospitals, patients with a positive anti-SARS-CoV-2 IgM or IgG and compatible COVID-19 symptoms were considered to have acute COVID-19. Thus, there is ...

    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.

  3. Version published to 10.1101/2021.03.16.21253736v1 on medRxiv