Assessment of Obstructive Sleep Apnea in Association with Severity of COVID-19: A Prospective Observational Study

  1. Avishek Kar
  2. Khushboo Saxena
  3. Abhishek Goyal
  4. Abhijit Pakhare
  5. Alkesh Khurana
  6. Saurabh Saigal
  7. Parneet Kaur Bhagtana
  8. Sridevi S. K. R. Chinta
  9. Yogesh Niwariya

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Abstract

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  1. Version published to 10.1007/s41782-021-00142-8
  2. ScreenIT

    SciScore for 10.1101/2020.11.12.20230631: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIACUC: Ethics and permissions: Institutional Human Ethics Committee of AIIMS Bhopal reviewed and approved study protocol with approval letter number IHEC-LOP/2020/IM0309.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Inclusion and exclusion criteria were as follows Data analysis: We have used R software version 3.6.1 with gtsummary, ggplot2 and finalfit packages for data analysis19,20,21,22.
    ggplot2
    suggested: (ggplot2, RRID:SCR_014601)

    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:
    Important limitations were:1) It was a single center study conducted in a tertiary care hospital where relatively more sick patients were admitted. This poses possibility of selection bias and therefore results of the study should be interpreted in this context and not be generalized to all COVID-19 patients.2 ) Our diagnosis of OSA was based on screening questionnaires and gold standardPSG could not be done for confirmation of OSA. However, we have evaluated risk for OSA by multiple questionnaires and results were coherent. We are currently performing sleep study in COVID19 ARDS survivors one month afterdischargeand this will shed more light on the strength of association between COVID19 ARDS and OSA.

    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 10.1101/2020.11.12.20230631v1 on medRxiv