Evidence map›Paper›PMID 39100488›Full record

ArticleHeliyon2024

Evaluation of destruction of bacterial membrane structure associated with anti-quorum sensing and ant-diabetic activity of

Parvaze Ahmad Wani, Lawal Aolat Omobolanle, Burhan Hamid, Raheem Aishat Fayokemi, Kahkashan Perveen, Najat A Bukhari, R Z Sayyed, Andrea Mastinu

Abstract read
In one paragraph

Article in Heliyon, 2024. 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. Flavonoid-RichMicroorganisms · 2026
    Article
  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

8 authors.

Parvaze Ahmad WaniDepartment of Biological Sciences, College of Natural and Applied Sciences, Crescent University, Abeokuta, 111105, Nigeria.
Lawal Aolat OmobolanleDepartment of Biological Sciences, College of Natural and Applied Sciences, Crescent University, Abeokuta, 111105, Nigeria.
Burhan HamidCentre of Research for Development, University of Kashmir, Srinagar, 190006, India.
Raheem Aishat FayokemiDepartment of Biological Sciences, College of Natural and Applied Sciences, Crescent University, Abeokuta, 111105, Nigeria.
Kahkashan PerveenDepartment of Botany & Microbiology, College of Science, King Saud University, Riyadh, 11495, Saudi Arabia.
Najat A BukhariDepartment of Botany & Microbiology, College of Science, King Saud University, Riyadh, 11495, Saudi Arabia.
R Z SayyedFaculty of Health and Life Sciences, INTI International University, Persiaran Perdana BBN, Putra Nilai, Nilai, 71800, Malaysia.
Andrea MastinuDepartment of Molecular and Translational Medicine, Division of Pharmacology, University of Brescia, Viale Europa 11, 25123, Brescia, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recently, there has been an increasing demand for medicinal plants to control diseases for good health and well-being, as primary health facilities are inadequate in certain populations to cure infections. Since synthetic medicines are toxic to humans and other animals, the present research is thus focused on using traditional medicine for treating various ailments as they are harmless. Based on the above facts, the current study was conducted to assay the antimicrobial, anti-diabetic, anti-cholinesterase, anti-oxidant, anti-quorum sensing, and anti-antibiotic resistance modifying effect of extracts of

Indexed as

Antibacterial activityAnti-diabetic effectAntifungal activityCell damageCell-to-cell communicationCyperus esculentusSecondary metabolites

Identifiers

PMID39100488
PMCPMC11295847

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.