Evidence map›Paper›PMID 36726053›Full record

ReviewClinical and molecular hepatology2023

Chronic hepatitis B with concurrent metabolic dysfunction-associated fatty liver disease: Challenges and perspectives.

Shang-Chin Huang, Chun-Jen Liu

Registry-linked trialAbstract readReview
In one paragraph

Review in Clinical and molecular hepatology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06589167 (Metabolic Dysfunction Among Egyptian Patients with Chronic HBV), which is not on this map. Cited by 71 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed, 1 pooled it
–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.

NCT06589167 not yet recruitingnot on this mapstarted 2024, after this paper: background citation

Metabolic Dysfunction Among Egyptian Patients with Chronic HBV

TypeobservationalSponsorAssiut UniversityRan2024 to 2025Enrolled100ConditionsMetabolic Syndrome, Fatty Liver Disease
3 · Its place in the literature

Who cites it

71 citing papers in PubMed, 1 synthesis or guideline pooled it.

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11 more citing papers are in PubMed but not listed here.

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

2 authors.

Shang-Chin HuangDepartment of Internal Medicine, National Taiwan University Hospital Bei-Hu Branch, Taipei, Taiwan.
Chun-Jen LiuDivision of Gastroenterology and Hepatology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.

Funding

Ministry of Health and WelfareNational Science and Technology Council
6 · The paper itself

Abstract

The prevalence of metabolic dysfunction-associated fatty liver disease (MAFLD) has increased among the general population and chronic hepatitis B (CHB) patients worldwide. Although fatty liver disease is a well-known risk factor for adverse liver outcomes like cirrhosis and hepatocellular carcinoma, its interactions with the hepatitis B virus (HBV) and clinical impacts seem complex. The presence of hepatic steatosis may suppress HBV viral activity, potentially leading to attenuated liver injury. In contrast, the associated co-morbidities like diabetes mellitus or obesity may increase the risk of developing adverse liver outcomes. These findings implicate that components of MAFLD may have diverse effects on the clinical manifestations of CHB. To this end, a clinical strategy is proposed for managing patients with concurrent CHB and MAFLD. This review article discusses the updated evidence regarding disease prevalence, interactions between steatosis and HBV, clinical impacts, and management strategies, aiming at optimizing holistic health care in the CHB population.

Indexed as

Hepatitis B, ChronicLiver NeoplasmsNon-alcoholic Fatty Liver DiseaseHumansLiver CirrhosisRisk FactorsFatty liverHepatitis B virusHepatocellular carcinomaMetabolic syndromeNon-alcoholic fatty liver disease

Identifiers

PMID36726053
PMCPMC10121303

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Registered trials

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.