Retrospective Assessment of Treatments of Hospitalized Covid-19 Patients

  1. Ghooi Ravindra
  2. Lele Chitra
  3. Motwani Madhur
  4. Dixit Santosh
  5. Premnath Venugopalan
  6. Salvi Sundeep
  7. Bhat Shreepad
  8. Chaudhari Piyush
  9. D’Costa Pradeep
  10. Jahagirdar Ashwini
  11. Mane Abhay
  12. Padbidri Vikram
  13. Pande Chetan
  14. Shukla Urvi

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Abstract

Infection with SARS-Cov-2 virus, is associated with significant morbidity and mortality, in addition to the economic burden it has put on the country. While waiting for a vaccine that gives adequate protection, it is necessary to understand the course of the infection and identify drugs that could reduce its impact. The results of this multicenter study involving 1035 hospitalized patients in Pune, identified diabetes, hypertension and low lymphocyte counts as predictors of mortality. There is also an indication that multiple comorbidities add to risk of severe disease and mortality. Data from metformin treated diabetics raises the possibility of considering repurposing of this drug in a larger study. It is also noted that Hydroxychloroquine, dexamethasone, azithromycin and remdesivir were associated with lower overall mortality. Diabetes and hypertension put Covid infected patients at greater risk of death, coexistence of both diseases further augment the risk, and must be aggressively treated.

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  1. Version published to 10.1101/2021.04.20.21255792v2 on medRxiv
  2. ScreenIT

    SciScore for 10.1101/2021.04.20.21255792: (What is this?)

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

    Table 1: Rigor

    Ethicsnot detected.
    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: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

    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 10.1101/2021.04.20.21255792v1 on medRxiv