Evidence map›Paper›PMID 42610177›Full record

ReviewCureus2026

Histopathological Scoring Systems for Experimental Liver Injury Models.

Tuba Yalcin

Abstract readReview
In one paragraph

Review in Cureus, 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

1 author.

Tuba YalcinHistology and Embryology, Batman University, Batman, TUR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Histopathological evaluation is a fundamental component of experimental liver injury studies because it allows direct assessment of structural alterations occurring at the tissue level. However, purely descriptive microscopic examination may be limited by observer-dependent interpretation and reduced comparability between experimental groups. For this reason, semi-quantitative scoring systems are widely used to convert morphological findings into numerical data and to improve the objectivity, reproducibility, and interpretability of histological assessment. In experimental liver injury models, commonly evaluated parameters include hepatocellular necrosis, inflammatory cell infiltration, hepatocyte degeneration or vacuolization, sinusoidal congestion or dilatation, steatosis, cholestasis, bile duct proliferation, fibrosis, and collagen deposition. The selection of scoring parameters should be guided by the type of experimental model, the expected pattern of injury, and the main objective of the study. In addition to conventional scoring, morphometric and digital image analysis methods may support histopathological evaluation by providing more objective measurements of specific tissue changes, particularly fibrosis, collagen accumulation, necrotic areas, steatosis, and immunohistochemical staining. Standardization of magnification, field selection, number of evaluated areas, staining conditions, scoring criteria, and blinded assessment is essential for obtaining reliable and comparable results. This review summarizes the main histopathological scoring approaches used in experimental liver injury models and emphasizes the importance of selecting appropriate, standardized, and reproducible scoring methods according to the specific characteristics of each model. Although this review focused on experimental liver damage models, standardized histopathological scoring can also support the interpretation of liver pathology in broader research contexts.

Indexed as

histological damage scorehistopathological scoringliver injury scoringscoring systemssemi-quantitative assessment

Identifiers

PMID42610177
PMCPMC13481103

What Socratic 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 Socratic graph.