Evidence map›Paper›PMID 33106765›Full record

ReviewCurrent pharmacology reports2020

Ayurveda and Allopathic Therapeutic Strategies in Coronavirus Pandemic Treatment 2020.

Shivangi Talwar, Shivani Sood, Jayant Kumar, Ritu Chauhan, Mamta Sharma, Hardeep Singh Tuli

Abstract readReview
In one paragraph

Review in Current pharmacology reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

6 authors.

Shivangi TalwarAmity Institute of Biotechnology, Amity University, Noida, Noida, India.
Shivani SoodDepartment of Biotechnology, Mukand Lal National College, Yamuna Nagar, India.
Jayant KumarDepartment of Biotechnology, Mukand Lal National College, Yamuna Nagar, India.
Ritu ChauhanAmity Institute of Biotechnology, Amity University, Noida, Noida, India.
Mamta SharmaSchool of Law, Justice and Governance, Gautam Buddha University, Greater Noida, India.
Hardeep Singh TuliDepartment of Biotechnology, Maharishi Markandeshwar (Deemed to be University), Mullana, Ambala, 133207 India.ORCID 0000-0003-1155-0094

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose of Review: In the last month of 2019, i.e., December, COVID-19 hit Wuhan city in China. Since then, it has infected more than 210 countries and nearly about 33.4 million people with one million deaths globally. It is a viral disease with flu-like symptoms; hence, prevention and management is the best option to be adopted for its cure. Recent Findings: Many healthcare systems, scientists, and researchers are fighting for the cure of this pandemic. Ayurvedic and allopathic treatments have been studied extensively and approached for the cure of COVID-19. In addition to ayurvedic treatments, the Ministry of Ayush, India, has also recommended many remedies to boost up immunity. Allopathic studies involved several antiviral drugs which were used in different combinations for the treatment of COVID-19. Summary: Comparative analysis of Ayurveda and allopathic treatment strategies were carried out in the present study. Depending upon the patient's conditions and symptoms, Ayurveda is useful for the treatment of COVID-19. Allopathic treatments inhibit viral infection by targeting majorly endocytosis, and angiotensin-converting enzyme (Ace) receptor signaling. In this article, we summarize different ayurvedic and allopathic medicines and treatment strategies which have been used for the treatment of COVID-19, a global pandemic.

Indexed as

AllopathicAyurvedaCOVID-19HomeopathySymptoms

Identifiers

PMID33106765
PMCPMC7577842

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.