Airway management, procedural data, and in-hospital mortality records of patients undergoing surgery for mucormycosis associated with coronavirus disease (COVID-19)

  1. Prashant Sirohiya
  2. Saurabh Vig
  3. Tanmay Mathur
  4. Jitendra Kumar Meena
  5. Smriti Panda
  6. Gitartha Goswami
  7. Raghav Gupta
  8. Abhilash konkimalla
  9. Dheeraj Kondamudi
  10. Nishkarsh Gupta
  11. Brajesh Kumar Ratre
  12. Ram Singh
  13. Balbir Kumar
  14. Anuja Pandit
  15. Kapil Sikka
  16. Alok Thakar
  17. Sushma Bhatnagar

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Abstract

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  1. Version published to 10.1016/j.mycmed.2022.101307
  2. Version published to 10.1101/2021.09.06.21263168v2 on medRxiv
  3. ScreenIT

    SciScore for 10.1101/2021.09.06.21263168: (What is this?)

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

    Table 1: Rigor

    EthicsIRB: Study Protocol: After obtaining approval from the institute ethics committee (IEC-450/02.07.2021), medical records of the COVID-19 positive patients that underwent surgical resection for mucormycosis at National Cancer Institute
    Sex as a biological variablenot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    [11] Statistical Analysis: Data pertaining to selected variables in the study were extracted from the records and entered into MS Excel software version 16.0
    MS Excel
    suggested: None
    The data were summarized using the medians with interquartile ranges [25th – 75th] for continuous variables and numbers and =proportions (%) for categorical variables Data were statistically reviewed using IBM SPSS Version 24
    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:
    Our study has some limitations. First, the study had a retrospective nature and was based on the analysis of anaesthesia and hospital records. Second, all the patients were from a single center. Our study has one strength as this is the first of its kind study in anesthetic perspectives of COVID-19 associated mucormycosis that can be used as a platform for further studies on this topic.

    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.

    Results from scite Reference Check: We found no unreliable references.

    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.

  4. Version published to 10.1101/2021.09.06.21263168v1 on medRxiv