Chest CT performance and features of COVID-19 in the region of Abu Dhabi, UAE: a single institute study

  1. Ghufran Aref Saeed
  2. Abeer Ahmed Al Helali
  3. Asad Shah
  4. Safaa Almazrouei
  5. Luai A. Ahmed

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Abstract

No abstract available

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  1. Version published to 10.1007/s42058-021-00075-1
  2. ScreenIT

    SciScore for 10.1101/2020.11.14.20229096: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIRB: Data collection: This retrospective cross-sectional study was approved by the Ethics Review Committee of Department of Health-Abu Dhabi, UAE.
    Consent: The informed consent was waved off as per the committee.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    The analysis was performed using STATA version 16.1
    STATA
    suggested: (Stata, RRID:SCR_012763)

    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 some limitations. The small cohort and the fact that the sample was taken during early stages of the disease, just before the peak of the epidemic in our region, might have influenced the results. Moreover, the results may be biased by the use of the RT-PCR test as a standard of reference. Some studies have suggested that RT-PCR test carries false negative and positive rates (30,31). Additionally, the diagnostic performance of CT scan varies depending on the chosen threshold. Finally, histopathologic results from lung biopsies were not available to be correlated with imaging findings. In summary, the study showed variable imaging patterns of COVID-19 disease affecting the lungs. The peripheral, posterior, bilateral, multilobe rounded ground glass opacities, were the commonest features seen in patients with COVID-19 pneumonia in the region of Abu Dhabi, UAE. The diagnostic performance of chest CT scan can be variable based on multiple factors.

    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 10.1101/2020.11.14.20229096v1 on medRxiv