A Community-Based Participatory Research to Assess the Feasibility of Ayurveda Intervention in Patients with Mild-to-Moderate COVID-19

  1. Vishwesh Kulkarni
  2. Neha Sharma
  3. Dipa Modi
  4. Abnimanyu Kumar
  5. Jaydeep Joshi
  6. Nagamani Krishnamurthy

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Abstract

Innovative strategies are required to manage COVID-19 in the communities. Back to Roots was a collaborative, community-based pilot intervention project in the British Asian community. To assess the efficacy and safety of Ayurveda intervention in relieving symptoms of mild-to-moderate COVID-19, a community based participatory research framework was used. Twenty-eight patients were enrolled with confirmed COVID-19 clinical stages of mild-to-moderate COVID-19, symptomatic, and between 20 to 70□years of age. Routine management was followed by all patients managing at home, additionally patents taking Ayurveda intervention for 14 consecutive days. The efficacy and safety of Ayurveda intervention were evaluated. There were suggestions of Ayurveda’s advantage in improved symptoms relief, clinical recovery in 7 days. However, a control group was not included but data triangulations from separate usual care found the difference statistically significant. Ayurveda intervention may potentially have a beneficial effect on patients with COVID-19, especially for those with mild to moderate symptoms. A further definitive large-scale clinical trial is necessary.

ClinicalTrials.gov Identifier

NCT04716647

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  1. Version published to 10.1101/2021.01.20.21250198v2 on medRxiv
  2. ScreenIT

    SciScore for 10.1101/2021.01.20.21250198: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementConsent: CBPR PARTNERSHIP: CBPR partnership was set up through: Patients were recruited and enrolled on a voluntary basis, signed informed consent through the app, filled daily vitals and symptoms score.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablePregnant and lactating women were not included as the participants.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    All statistical processing was performed using SPSS software.
    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: 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: We found the following clinical trial numbers in your paper:

    IdentifierStatusTitle
    NCT04716647CompletedFeasibility of Ayurveda in Patients With Mild-to-Moderate CO…

    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 10.1101/2021.01.20.21250198v1 on medRxiv