Evidence map›Paper›PMID 35475465›Full record

ReviewHistology and histopathology2022

Characterization of diet based nonalcoholic fatty liver disease/nonalcoholic steatohepatitis in rodent models: Histological and biochemical outcomes.

Ghaidafeh Akbari, Seyyed Ali Mard, Feryal Savari, Barat Barati, Maryam J Sameri

Abstract readReview
PubMed Publisher
In one paragraph

Review in Histology and histopathology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 37% of its field
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

4 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. 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

5 authors at 2 institutions in 1 country.

Ghaidafeh AkbariMedical Plants Research Center, Yasuj University of Medical Sciences, Yasuj, Iran.
Seyyed Ali MardClinical Sciences Research Institute, Alimentary Tract Research Center, Department of Physiology, The school of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Feryal SavariDepartment of Basic Sciences, Shoushtar Faculty of Medical Sciences, Shoushtar, Iran. savari-f@shoushtarums.ac.ir.
Barat BaratiDepartment of Radiologic Technology, Shoushtar Faculty of Medical Sciences, Shoushtar, Iran.
Maryam J SameriDepartment of Physiology, The School of Medicine, Ahvaz Jundishpur University of Medical Sciences, Ahvaz, Iran.
Islamic Azad University, Shoushtar Branch · IRYasuj University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nonalcoholic fatty liver disease (NAFLD), as the most common chronic liver disease, is rapidly increasing worldwide. This complex disorder can include simple liver steatosis to more serious stages of nonalcoholic fibrosis and steatohepatitis (NASH). One of the critical concerns in NASH research is selecting and confiding in relying on preclinical animal models and experimental methods that can accurately reflect the situation in human NASH. Recently, creating nutritional models of NASH with a closer dietary pattern in human has been providing reliable, simple, and reproducible tools that hope to create a better landscape for showing the recapitulation of disease pathophysiology. This review focuses on recent research on rodent models (mice, rats, and hamsters) in the induction of the dietary model of NAFLD /NASH. This research tries to compile the different dietary compositions of NASH, time frames required for disease development, and their impact on liver histological features as well as metabolic parameters.

Indexed as

Non-alcoholic Fatty Liver DiseaseAnimalsDietDisease Models, AnimalHumansLiverLiver CirrhosisMiceRatsRodentia

Identifiers

PMID35475465
OpenAlexW4225016352

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.