Evidence map›Paper›PMID 36263083›Full record

ArticleAdvances in pharmacological and pharmaceutical sciences2022

Phytochemical Screening, Antioxidant, and Antimicrobial Activities of Seven Underinvestigated Medicinal Plants against Microbial Pathogens.

Borel Ndezo Bisso, Roland Njikang Epie Nkwelle, Roland Tchuenguem Tchuenteu, Jean Paul Dzoyem

Abstract read
In one paragraph

Article in Advances in pharmacological and pharmaceutical sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
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  4. Optimization, Preparation, and Cytotoxic Potential ofCurrent topics in medicinal chemistry · 2026
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  7. Review
  8. Efficacy of Chlorogenic Acid Combined With Cefazolin Against Methicillin-ResistantThe Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2025
    Article
  9. Article
  10. Article
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  12. Article
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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

4 authors.

Borel Ndezo BissoDepartment of Biochemistry, Faculty of Science, University of Dschang, Dschang, Cameroon.ORCID https://orcid.org/0000-0001-5946-9581
Roland Njikang Epie NkwelleDepartment of Biochemistry, Faculty of Science, University of Dschang, Dschang, Cameroon.
Roland Tchuenguem TchuenteuDepartment of Biochemistry, Faculty of Science, University of Dschang, Dschang, Cameroon.
Jean Paul DzoyemDepartment of Biochemistry, Faculty of Science, University of Dschang, Dschang, Cameroon.ORCID https://orcid.org/0000-0003-3568-6711

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Plants are a rich source of therapeutic compounds that have tremendous applications in the pharmaceutical industry. This study aimed to identify the phytochemicals present in the seven selected medicinal plants as well as their antioxidant and antimicrobial activities. Methods: Phytochemical screening, total phenolic, and flavonoid contents were determined using standard methods. The antioxidant activity of plant extracts was determined using 2, 2-diphenyl-1-picrylhydrazyl (DPPH), hydroxyl (OH), and nitric oxide (NO) radical scavenging assays. The antimicrobial activity of the plant extracts was determined by the broth microdilution method. Results: The results of phytochemical analysis showed the presence of phenols, flavonoids, and steroids in all plant extracts. The extract of Conclusion: The screened extracts of medicinal plants used in our study can be used as potential antioxidant and antimicrobial agents, and resources for the development of new drugs.

Identifiers

PMID36263083
PMCPMC9576442

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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.