Evidence map›Paper›PMID 39206705›Full record

ReviewCurrent drug discovery technologies2024

An Insight into Different Experimental Models used for Hepatoprotective Studies: A Review.

Sucharita Babu, Santosh K Ranajit, Gurudutta Pattnaik, Goutam Ghosh, Goutam Rath, Biswakanth Kar

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current drug discovery technologies, 2024. 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

6 authors.

Sucharita BabuSchool of Pharmacy and Life Sciences, Centurion University of Technology and Management, Bhubaneswar, 751050, India.
Santosh K RanajitSchool of Pharmacy and Life Sciences, Centurion University of Technology and Management, Bhubaneswar, 751050, India.
Gurudutta PattnaikSchool of Pharmacy and Life Sciences, Centurion University of Technology and Management, Bhubaneswar, 751050, India.
Goutam GhoshSchool of Pharmaceutical Sciences, Siksha O Anusandhan Deemed to be University, Bhubaneswar, 751030, India.
Goutam RathSchool of Pharmaceutical Sciences, Siksha O Anusandhan Deemed to be University, Bhubaneswar, 751030, India.
Biswakanth KarSchool of Pharmaceutical Sciences, Siksha O Anusandhan Deemed to be University, Bhubaneswar, 751030, India.ORCID 0000-0002-4530-1005

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Numerous factors, including exposure to harmful substances, drinking too much alcohol, contracting certain hepatitis serotypes, and using specific medicines, contribute to the development of liver illnesses. Lipid peroxidation and other forms of oxidative stress are the main mechanisms by which hepatotoxic substances harm liver cells. Pathological changes in the liver include a rise in the levels of blood serum, a decrease in antioxidant enzymes, as well as the formation of free radical radicals. It is necessary to find pharmaceutical alternatives to treat liver diseases to increase their efficacy and decrease their toxicity. For the development of new therapeutic medications, a greater knowledge of primary mechanisms is required. In order to mimic human liver diseases, animal models are developed. Animal models have been used for several decades to study the pathogenesis of liver disorders and related toxicities. For many years, animal models have been utilized to investigate the pathophysiology of liver illness and associated toxicity. The animal models are created to imitate human hepatic disorders. This review enlisted numerous hepatic damage

Indexed as

Disease Models, AnimalOxidative StressAnimalsChemical and Drug Induced Liver InjuryHumansLiverLiver DiseasesProtective AgentsProtective Agentsanimal modelsblood serum.Hepatotoxicityin vitro studyin vivoliver diseasetoxicants

Identifiers

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.