A Retrospective Study on Efficacy and Safety of Guduchi Ghan Vati for Covid-19 Asymptomatic Patients
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Abstract
Background Coronavirus disease 2019 (Covid-19) has been declared global emergency with immediate safety, preventative and curative measures to control the spread of virus. Confirmed cases are treated with clinical management as they are diagnosed but so far, there is no effective treatment or vaccine yet for Covid-19. Ayurveda has been recommended by preventative and clinical management guidelines in India and several clinical trials are ongoing. But there is no study to assess impact of Ayurveda on Covid-19. Methods Objective of present study was to evaluate the clinical outcome in Covid-19 confirmed asymptomatic to mild symptomatic patients who had received Ayurveda and compare with control (who has not received Ayurveda or any support therapy). Patients having Ayurveda intervention (Guduchi Ghan Vati-extract of Tinospora cordifolia) were included from Jodhpur Covid Care Centre and non-recipients were taken from Jaipur Covid Care Centre between May 15 to June 15, 2020. Total 91 patients, who were asymptomatic at the time of hospital admission and between 18 -75 years of age, were included in the study to analyse retrospectively. Results In control group, 11.7% developed mild symptoms after average 1.8 days and none in Ayurveda group reported any symptoms. Significant difference was reported between the group of patients taking Guduchi Ghan Vati (n=40) and patients in standard care (n=51) in terms of virologic clearance at day-7 (97.5% vs 15.6% respectively; p=0.000), at day 14 (100% vs 82.3%) days to stay in hospital ( 6.4 vs 12.8 respectively; p< 0.0001) . Conclusion Results of the study suggest that Guduchi Ghan Vati, a common and widely used Ayurveda preparation, could benefit treating asymptomatic Covid-19 patients. Larger, randomised controlled Trials are required to confirm the findings. Keywords: Ayurveda, Guduchi Ghan
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SciScore for 10.1101/2020.07.23.20160424: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Institutional Review Board Statement IRB: Setting: This retrospective, bi-centric study was approved by the Institutional Ethics Committee University College of Ayurveda, Dr. Sarvapalli Radhakrishnan Rajasthan Ayurved University, Jodhpur. Randomization not detected. Blinding Data analysing team were blinded to intervention arms. Power Analysis not detected. Sex as a biological variable not detected. Table 2: Resources
Software and Algorithms Sentences Resources Analyses were carried out using SPSS statistical software, version 16.0 (IBM). SPSSsuggested: (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 …
SciScore for 10.1101/2020.07.23.20160424: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Institutional Review Board Statement IRB: Setting: This retrospective, bi-centric study was approved by the Institutional Ethics Committee University College of Ayurveda, Dr. Sarvapalli Radhakrishnan Rajasthan Ayurved University, Jodhpur. Randomization not detected. Blinding Data analysing team were blinded to intervention arms. Power Analysis not detected. Sex as a biological variable not detected. Table 2: Resources
Software and Algorithms Sentences Resources Analyses were carried out using SPSS statistical software, version 16.0 (IBM). SPSSsuggested: (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 including a small sample size, limited long-term outcome follow-up, however in the current context, we believe that our results should be shared with the scientific community.
Results from TrialIdentifier: We found the following clinical trial numbers in your paper:
Identifier Status Title NCT04480398 Completed Efficacy and Safety of Guduchi Ghan Vati for Covid-19 Asympt… 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.
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SciScore for 10.1101/2020.07.23.20160424: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Institutional Review Board Statement , bi-centric study was approved by the Institutional Ethics Committee University College of Ayurveda, Dr. Sarvapalli Radhakrishnan Rajasthan Ayurved University, Jodhpur. Randomization not detected. Blinding Data analysing team were blinded to intervention arms. Power Analysis not detected. Sex as a biological variable not detected. Cell Line Authentication Conflict of Interest No conflicts to declare by authors. Table 2: Resources
Software and Algorithms Sentences Resources Analyses were carried out using SPSS statistical software, version 16.0 (IBM). SPSSsuggested: (SPSS, SCR_002865)Data from …
SciScore for 10.1101/2020.07.23.20160424: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Institutional Review Board Statement , bi-centric study was approved by the Institutional Ethics Committee University College of Ayurveda, Dr. Sarvapalli Radhakrishnan Rajasthan Ayurved University, Jodhpur. Randomization not detected. Blinding Data analysing team were blinded to intervention arms. Power Analysis not detected. Sex as a biological variable not detected. Cell Line Authentication Conflict of Interest No conflicts to declare by authors. Table 2: Resources
Software and Algorithms Sentences Resources Analyses were carried out using SPSS statistical software, version 16.0 (IBM). SPSSsuggested: (SPSS, SCR_002865)Data from additional tools added to each annotation on a weekly basis.
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 is not a substitute for expert review. SciScore checks for the presence and correctness of RRIDs (research resource identifiers) in the manuscript, and detects sentences that appear to be missing RRIDs. SciScore also checks to make sure that rigor criteria are addressed by authors. It does this by detecting sentences that discuss criteria such as blinding or power analysis. SciScore does not guarantee that the rigor criteria that it detects are appropriate for the particular study. Instead it assists authors, editors, and reviewers by drawing attention to sections of the manuscript that contain or should contain various rigor criteria and key resources. For details on the results shown here, including references cited, please follow this link.
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