Evidence map›Paper›PMID 33262559›Full record

ArticleJournal of Ayurveda and integrative medicine

A critical analysis of CTRI registered AYUSH studies for COVID- 19.

Vedvati Bhapkar, Tanuja Sawant, Supriya Bhalerao

Abstract read
In one paragraph

Article in Journal of Ayurveda and integrative medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Frontiers in pharmacology · 2022
    Article
  6. Article
  7. Review
  8. Article
  9. India in COVID-19 times: Modern and wiser.Journal of Ayurveda and integrative medicine
    Article
  10. Article
  11. Article
  12. Dissemination of COVID-19 research: Time to walk the talk.Journal of Ayurveda and integrative medicine
    Article
  13. Integrative management of critical case of Covid 19 withJournal of Ayurveda and integrative medicine
    Article
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Vedvati BhapkarSchool of Ayurveda, D. Y. Patil Deemed to be University, Nerul, Navi Mumbai, India.
Tanuja SawantAyurved Consultant, Pune, India.
Supriya BhaleraoInteractive Research School for Health Affairs, Bharati Vidyapeeth Deemed to be University, Pune, India. Electronic address: Supriya.bhalerao@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic has provided an opportune time to evaluate the efficacy of traditional medicine. Many clinical studies involving AYUSH systems are being initiated and registered with Clinical Trials Registry - India (CTRI) since last few months.

objectiveThe present work is an analysis of different characteristics of these studies on the basis of available datasets. MATERIAL AND

methodsCOVID-19 related clinical studies involving the healthcare systems of AYUSH, registered on CTRI between 1

resultsA total of 197 AYUSH studies were registered on CTRI of which majority (n = 113) were from

conclusionOur analysis revealed some interesting characteristics of the registered studies such as use of platform trial design, system specific criteria for assessment and personalized interventions. Though it was not possible to evaluate the quality of these studies in view of the limited dataset used for trial registration, we could notice variations in important characteristics like sample size, treatment arms, comparator used and study duration according to the primary aim of the studies. Overall, the present review underlines the formidable efforts of AYUSH sector in combating COVID-19 outbreak.

Indexed as

AyurvedaPreventive studiesRecovery studiesSARS-CoV-2

Identifiers

PMID33262559
PMCPMC7690275

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.