Prevalence of COVID-19 in 10,000 Samples from 7853 Patients in Eastern Turkey by Positive Real-Time PCR

  1. Murat Karamese
  2. Didem Ozgur
  3. Ceyda Tarhan
  4. Susamber D Altintas
  5. Okan Caliskan
  6. Aysegul Tuna
  7. Saliha Kazci
  8. Mursel Karadavut
  9. Abdullah Gumus
  10. Gozde Apaydin
  11. Necati Mumcu
  12. Onur Coruh
  13. Emin E Tutuncu

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Abstract

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  1. Version published to 10.2217/fmb-2020-0134
  2. ScreenIT

    SciScore for 10.1101/2020.06.25.20138131: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIRB: Data collection: The study was approved by both the Republic of Turkey Ministry of Health COVID-19 Scientific Research Evaluation Commission (Approval date: 02.05.2020; number: 2020-05-03T18_02_30) and the Local Ethics Committee of Kafkas University Faculty of Medicine (Approval date: 06.05.2020 number: 80576354-050-99/129).
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Statistical Methods: Statistical analysis was performed with the Statistical Package for the Social Sciences version 22.0 (SPSS, IBM, Armonk, NY, USA).
    Statistical Package for the Social Sciences
    suggested: (SPSS, RRID:SCR_002865)
    SPSS
    suggested: (SPSS, RRID:SCR_002865)

    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:
    Study Limitations: Our study have some limitations. First, this was a retrospective study. Second, more detailed information should have been obtained because there were relatively large amounts of missing data for some outcomes. Third, the pandemic is still ongoing and the data about SARS-CoV-2 positivity can be change; however, we wanted to share the suspected patients’ rates just before the screening test has been started in our country.

    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.
    • Thank you for including a protocol registration statement.

    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 10.1101/2020.06.25.20138131v1 on medRxiv