Evidence map›Paper›PMID 42375973›Full record

ArticleOpen veterinary journal2026

Determination of the efficacy of red ginger (

Acivrida Mega Charisma, Yohanes Ardian Kapri Negara, Yani Ambari, Intan Febiola Arianing, Fitrine Ekawasti

Abstract read
In one paragraph

Article in Open veterinary journal, 2026. 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

5 authors.

Acivrida Mega CharismaDepartment of Medical Laboratory, Faculty of Health Sciences, Anwar Medika University, Sidoarjo, Indonesia.
Yohanes Ardian Kapri NegaraDepartment of Medical Laboratory, Faculty of Health Sciences, Anwar Medika University, Sidoarjo, Indonesia.
Yani AmbariDepartment of Pharmacy, Faculty of Health Sciences, Anwar Medika University, Sidoarjo, Indonesia.
Intan Febiola ArianingDepartment of Medical Laboratory, Faculty of Health Sciences, Anwar Medika University, Sidoarjo, Indonesia.
Fitrine EkawastiResearch Center for Veterinary Science, National Research and Innovation Agency (BRIN), Bogor, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Aim: This study evaluated the efficacy of red ginger extract against the Internal transcribed spacer 1 (ITS1) gene expression of Methods: Male mice were divided into five groups: Healthy Control, Infected Control (IC), Positive Drug Control, and treatment groups receiving red ginger extract at 30, 45, and 60 mg/kg BW. Parasitemia was monitored daily, and parasite load was measured using ITS1-targeted quantitative polymerase chain reaction (ΔΔCq). Liver histopathology was scored for edema, necrosis, hemorrhage, fatty degeneration, and inflammatory infiltration. Survival was analyzed using Kaplan-Meier curves and the log-rank test. Data were analyzed using one-way ANOVA or Kruskal-Wallis test ( Results: Ethanol-extracted red ginger reduced ITS1 gene expression and improved liver histology in a dose-dependent manner. The IC showed hepatocyte degeneration, necrosis, and inflammation, whereas treatment groups exhibited improved hepatocyte structure, reduced inflammation, and normalized sinusoids, especially at 60 mg/kg BW. Survival was highest in the 60 mg/kg BW group. All differences were statistically significant ( Conclusion: Red ginger extract is a promising natural therapeutic agent against

Indexed as

Plant ExtractsTrypanocidal AgentsTrypanosomaTrypanosomiasisZingiber officinaleAnimalsLiverMaleMicePlant ExtractsTrypanocidal AgentsAnti-TrypanosomaITS1Liver histopathologyTrypanosoma evansiZingiber officinale Roscoe

Identifiers

PMID42375973
PMCPMC13314099

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Registered trials

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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.