Evidence map›Paper›PMID 33136250›Full record

ReviewJournal of medical ultrasonics (2001)2020

Histopathological findings of nonalcoholic fatty liver disease and nonalcoholic steatohepatitis.

Masayoshi Kage, Shinichi Aishima, Hironori Kusano, Hirohisa Yano

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of medical ultrasonics (2001), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.7field-weighted citation impact, top 14% 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

8 citing papers in PubMed, 17 citations in OpenAlex.

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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

4 authors at 3 institutions in 1 country.

Masayoshi KageDepartment of Medical Engineering, Junshin Gakuen University, 1-1-1 Chikushigaoka, Minami-ku, Fukuoka, 815-8510, Japan. kage.m@junshin-u.ac.jp.
Shinichi AishimaDepartment of Pathology and Microbiology, Faculty of Medicine, Saga University, Saga, Japan.
Hironori KusanoDepartment of Pathology, School of Medicine, Kurume University, Kurume, Japan.
Hirohisa YanoDepartment of Pathology, School of Medicine, Kurume University, Kurume, Japan.
Kurume University · JPJunshin Gakuen University · JPSaga University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nonalcoholic fatty liver disease (NAFLD) is based on the concept of pathological morphology as well as clinical findings, and is broadly categorized into nonalcoholic fatty liver (NAFL) and nonalcoholic steatohepatitis (NASH). The differential diagnosis between NAFL and NASH is important because NASH has the potential to progress to cirrhosis and hepatocellular carcinoma. NAFL is simple hepatic steatosis without hepatocellular injury, while NASH is characterized by macrovesicular steatosis, inflammation, and ballooning hepatocytes with a predominantly centrilobular (zone 3) distribution. Liver biopsy is a useful test for diagnosing NAFLD, but it is invasive. Therefore, various noninvasive methods including diagnostic imaging have been developed in recent years. To verify their usefulness, it is necessary to clarify in detail how the pathological findings are reflected in the image findings as imaging and histopathological findings are closely related. We describe the main histological features of NAFLD, i.e., steatosis, inflammation, ballooning hepatocytes, Mallory-Denk bodies, and fibrosis, as well as the evolutional process to liver cirrhosis.

Indexed as

BiopsyDiagnosis, DifferentialDisease ProgressionHumansLiverNon-alcoholic Fatty Liver DiseaseLiver pathologyNonalcoholic fatty liverNonalcoholic steatohepatitis

Identifiers

PMID33136250
OpenAlexW3095137054

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.