Evidence map›Paper›PMID 33520034›Full record

ReviewBiocatalysis and agricultural biotechnology2021

Therapeutic potential of medicinal plants against COVID-19: The role of antiviral medicinal metabolites.

Tariq Khan, Mubarak Ali Khan, Zia-Ur-Rehman Mashwani, Nazif Ullah, Akhtar Nadhman

Open access · greenAbstract readReview
In one paragraph

Review in Biocatalysis and agricultural biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
14.0field-weighted citation impact, top 1% of its field
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

34 citing papers in PubMed, 1 synthesis or guideline pooled it, 112 citations in OpenAlex.

  1. Potential ofBioMed research international · 2022
    Pooled it
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  6. Investigation ofPlants (Basel, Switzerland) · 2024
    Article
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  20. Plants (Basel, Switzerland) · 2022
    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

5 authors at 4 institutions in 1 country.

Tariq KhanDepartment of Biotechnology, University of Malakand, Chakdara, KP, Pakistan.
Mubarak Ali KhanDepartment of Biotechnology, Faculty of Chemical and Life Sciences, Abdul Wali Khan University Mardan (AWKUM), Mardan, 23390, Pakistan.
Zia-Ur-Rehman MashwaniDepartment of Botany, PMAS Arid Agriculture University, Rawalpindi, Pakistan.
Nazif UllahDepartment of Biotechnology, Faculty of Chemical and Life Sciences, Abdul Wali Khan University Mardan (AWKUM), Mardan, 23390, Pakistan.
Akhtar NadhmanDepartment of Integrative Biosciences, CECOS University, Peshawar, Pakistan.
Abdul Wali Khan University Mardan · PKCECOS University · PKPir Mehr Ali Shah Arid Agriculture University · PKUniversity of Malakand · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There are numerous trials underway to find treatment for the COVID-19 through testing vaccines as well as existing drugs. Apart from the many synthetic chemical compounds, plant-based compounds could provide an array of \suitable candidates for testing against the virus. Studies have confirmed the role of many plants against respiratory viruses when employed either as crude extracts or their active ingredients in pure form. The purpose of this review article is to highlight the importance of phytomedicine against COVID-19. The main aim is to review the mechanistic aspects of most important phytochemical compounds that have showed potential against coronaviruses. Glycyrrhizin from the roots of

Indexed as

Antiviral drug developmentAntiviral drug discoveryMedicinal plantsPlant secondary metabolitesSARS coronavirus

Identifiers

PMID33520034
PMCPMC7831775
OpenAlexW3113063689

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.