Evidence map›Paper›PMID 42022369›Full record

ArticleClinical and experimental hepatology2025

Ethnic heterogeneity in steatosis-driven liver injury among MASLD patients: Han Chinese vs. Caucasian.

Limin Lin, Junzhao Ye, Zhiyong Dong, Hong Deng, Yiyi Hu, Shiting Feng, Bing Liao, Xiaodong Zhuang, Bihui Zhong

Abstract read
In one paragraph

Article in Clinical and experimental hepatology, 2025. 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

9 authors.

Limin Lin *Sun Yat-sen University, the First Affiliated Hospital, China.
Junzhao Ye *Sun Yat-sen University, the First Affiliated Hospital, China.
Zhiyong DongThe First Affiliated Hospital of Jinan University, China.
Hong DengSun Yat-sen University, the Third Affiliated Hospital, China.
Yiyi HuShunde Hospital of Southern Medical University, China.
Shiting FengSun Yat-sen University, the First Affiliated Hospital, China.
Bing LiaoSun Yat-sen University, the First Affiliated Hospital, China.
Xiaodong ZhuangSun Yat-sen University, the First Affiliated Hospital, China.
Bihui ZhongSun Yat-sen University, the First Affiliated Hospital, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim of the study: Despite the increasing prevalence of metabolic dysfunction-associated steatotic liver disease (MASLD) worldwide, the ethnic differences in clinical features remain unknown. We aimed to compare steatosis-associated liver severity differences between Han Chinese vs. Caucasian patients with MASLD. Material and methods: This was a cross-sectional study comparing Han Chinese MASLD patients from four University-affiliated Medical Centers of fatty liver in south China from January 2015 to January 2023 and Caucasian MASLD patients from the UK Biobank database. All patients were measured for anthropometric parameters, biochemistry markers, metabolic tests and liver fat content (LFC) determined with the magnetic resonance imaging proton density fat fraction (MRI-PDFF). Results: Han Chinese MASLD patients ( Conclusions: Han Chinese MASLD patients tended to suffer from higher risk of high liver fat content associated liver injuries than Caucasian patients, suggesting that higher hepatic lipotoxicity sensitivity compared to Caucasians might be one of the ethnic distinctions of Chinese populations.

Indexed as

alanine aminotransferaseliver biopsymagnetic resonance imaging-based proton density fat fractionmetabolic dysfunction-associated steatotic liver diseaserace

Identifiers

PMID42022369
PMCPMC13097299

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.