Evidence map›Paper›PMID 42343625›Full record

ReviewClinical and molecular hepatology2026

Chronic viral hepatitis with concurrent metabolic dysfunction-associated steatotic liver disease: dual etiology challenges.

Shang-Chin Huang, Yi-Fen Shih, Chun-Jen Liu

Abstract readReview
In one paragraph

Review in Clinical and molecular hepatology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Shang-Chin HuangDepartment of Internal Medicine, National Taiwan University Hospital Bei-Hu Branch, Taipei, Taiwan.
Yi-Fen ShihDepartment of Physical Therapy and Assistive Technology, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Chun-Jen LiuDivision of Gastroenterology and Hepatology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan. cjliu@ntu.edu.tw.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The overlapping epidemics of chronic viral hepatitis and metabolic dysfunction-associated steatotic liver disease (MASLD) present a complex challenge in modern hepatology. In chronic hepatitis B, a unique "steatosis paradox" emerges: while isolated hepatic steatosis provides a suppressive microenvironment that promotes hepatitis B viral clearance, the concomitant systemic cardiometabolic burden acts dose-dependently to drive fibrogenesis and hepatocellular carcinoma (HCC). Conversely, chronic hepatitis C and host metabolic dysfunctions exhibit synergistic destruction. Hepatitis C virus actively hijacks lipid metabolism and induces insulin resistance. Even after viral eradication via direct-acting antivirals, residual steatosis and glycemic abnormalities remain formidable drivers of HCC. Consequently, the traditional virocentric paradigm is no longer sufficient. Clinical management should pivot toward precision risk stratification and a multidisciplinary dual-target approach, equally prioritizing sustained viral suppression and aggressive metabolic remission. This review summarizes the divergent virus-MASLD interactions, optimal clinical strategies, current challenges and future opportunities.

Indexed as

Fatty LiverHepatitis B, ChronicHepatitis C, ChronicAntiviral AgentsCarcinoma, HepatocellularHepacivirusHepatitis B virusHumansInsulin ResistanceLipid MetabolismLiver NeoplasmsNon-alcoholic Fatty Liver DiseaseAntiviral AgentsChronic hepatitisFatty liverHepatitis B virusHepatitis CNon-alcoholic fatty liver disease

Identifiers

PMID42343625
PMCPMC13641673

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.