National Early Warning Score 2 and Laboratory Predictors Correlate with Clinical Deterioration in Hospitalized Patients with Covid-19

  1. Gulsah Tuncer
  2. Serkan Surme
  3. Osman F Bayramlar
  4. Hatice K Karanalbant
  5. Betul Copur
  6. Meltem Yazla
  7. Esra Zerdali
  8. Inci Y Nakir
  9. Ayse RK Cinar
  10. Ahmet Buyukyazgan
  11. Hatice Balli
  12. Yesim Kurekci
  13. Serap Simsek-Yavuz
  14. Mehmet M Sonmez
  15. Gonul Sengoz
  16. Filiz Pehlivanoglu

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Abstract

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  1. Version published to 10.2217/bmm-2021-0061
  2. ScreenIT

    SciScore for 10.1101/2021.01.17.21249878: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board Statementnot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    The analyzes were performed using IBM SPSS - 21
    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:
    This study has also several limitations. First, it was retrospectively conducted in a single-center. Second, this study had a small sample size and a control group was not included. The generalizability of our results may be limited. Thus, we need new large scale studies providing important information to better understand COVID-19 pandemic. Our study has also several strengths. First, we were able to admit all critically ill patients requiring intensive care to the ICU during the first months of pandemic. This prevent a selection bias. Second, longitudinally evaluation of the association between clinical deterioration and the dynamic changes of laboratory parameters was performed, since we regularly monitored laboratory parameters during the clinical course.

    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 10.1101/2021.01.17.21249878v1 on medRxiv