Mortality audit of 19 patients with cancer and SARS-CoV-2 positivity

  1. Kaberi Kakati
  2. Tashnin Rahman
  3. Debabrata Barman
  4. Mouchumee Bhattacharyya
  5. BibhutiBhusan Borthakur
  6. Rashmisnata Barman
  7. Apurba Kalita
  8. AmalChandra Kataki
  9. Manigreeva Krishnatreya

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Abstract

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  1. Version published to 10.4103/jco.jco_3_22
  2. ScreenIT

    SciScore for 10.1101/2021.05.21.21257574: (What is this?)

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

    Table 1: Rigor

    EthicsIRB: This study has been done with approval from the Institutional Ethics Committee along with consent waiver.
    Consent: This study has been done with approval from the Institutional Ethics Committee along with consent waiver.
    Sex as a biological variablenot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.

    Table 2: Resources

    No key resources detected.

    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:
    Limitation of the study: The assessment of cause of death was purely based on history and clinical presentation, and serum pro-inflammatory biomarkers like ferritin, D-Dimer, troponin-I, pro-calcitonin, and IL-6 were not tested. We justify the lack of pro-inflammatory biomarkers testing in the absence of fever in over 84% of the patient cohort or fever lasting not more than 2 days in three patients.

    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.

  3. Version published to 10.1101/2021.05.21.21257574v1 on medRxiv