Evidence map›Paper›PMID 41993062›Full record

ArticleJournal of oral biology and craniofacial research

Fractionated ethanolic red ginger extract as antibacterial agent against

Prawati Nuraini, Sindy Cornelia Nelwan, Seno Pradopo, Amirah Saraswati Pronorahardjo, Putri Qomaria Andarini, Yulanda Antonius, Mohammed Ahmed Aljunaid

Abstract read
In one paragraph

Article in Journal of oral biology and craniofacial research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Prawati NurainiDepartment of Pediatric Dentistry, Faculty of Dental Medicine, Universitas Airlangga, Surabaya, Indonesia.
Sindy Cornelia NelwanDepartment of Pediatric Dentistry, Faculty of Dental Medicine, Universitas Airlangga, Surabaya, Indonesia.
Seno PradopoDepartment of Pediatric Dentistry, Faculty of Dental Medicine, Universitas Airlangga, Surabaya, Indonesia.
Amirah Saraswati PronorahardjoDepartment of Pediatric Dentistry, Faculty of Dental Medicine, Universitas Airlangga, Surabaya, Indonesia.
Putri Qomaria AndariniDepartment of Pediatric Dentistry, Faculty of Dental Medicine, Universitas Airlangga, Surabaya, Indonesia.
Yulanda AntoniusFaculty of Biotechnology, University of Surabaya, Surabaya, Indonesia.
Mohammed Ahmed AljunaidDepartment of Dental and Oral Medicine, Faculty of Medicine, Taiz University, Taiz, Yemen.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Periodontitis is a chronic inflammatory disease associated with oral microbiome dysbiosis, where Objective: To evaluate the antibacterial activity of fractionated ethanolic red ginger extract against Methods: Twenty-two bioactive compounds identified from the fractionated extract were analyzed via molecular docking against cytolethal distending toxin (Cdt) of Results: Docking analysis showed that cyclooctacosane and gamma-sitosterol demonstrated binding affinities comparable to chlorhexidine toward both target proteins. The extract exhibited MIC/MBC values of 0.062/0.125 mg/mL for Conclusion: Fractionated ethanolic red ginger extract demonstrates promising antibacterial activity against key periodontal pathogens by targeting virulence mechanisms related to adhesion and biofilm formation, supporting its potential as a natural adjunct in periodontal therapy.

Indexed as

Aggregatibacter actinomycetemcomitansAntibacterial activityMedicinePeriodontitisPorphyromonas gingivalisZingiber officinale

Identifiers

PMID41993062
PMCPMC13081670

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.