Increasing Prevalence of Steatotic Liver Disease in a Japanese Health Checkup Population, 2004–2022

MASLD and MetALD increased significantly irrespective of body composition, whereas ALD increased in the lean population over the past two decades. These findings highlight a silent rise of SLD in the Japanese general population.

Authors

Institutions

Publication Details

Journal
Liver International
Published
2025-11-22
DOI
https://doi.org/10.1111/liv.70454
Citations
2
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
2.71

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Increasing Prevalence of Steatotic Liver Disease in a Japanese Health Checkup Population, 2004–2022

Masahito Shimizu, Akihiro Obora, Yuki Nakahata, Takao Miwa et al.
2 citations
Liver International
Liver Disease Diagnosis and Treatment
2.71
article

Increasing Prevalence of Steatotic Liver Disease in a Japanese Health Checkup Population, 2004–2022

Masahito Shimizu, Akihiro Obora, Yuki Nakahata, Takao Miwa, Takao Kojima, Nobuaki Yagi
article en
2 citations

Abstract

MASLD and MetALD increased significantly irrespective of body composition, whereas ALD increased in the lean population over the past two decades. These findings highlight a silent rise of SLD in the Japanese general population.

Liver InternationalVol. 45(12)
Asahi University (JP), University of California San Diego (US), Gifu University (JP)
Japan Society for the Promotion of Science
Openalex Percentile: Top 8%
Liver Disease Diagnosis and Treatment
2.71
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.