ReviewJournal of medicine and life
Quantification of liver fibrosis in chronic hepatitis B virus infection.
Review in Journal of medicine and life. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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.
Who cites it
8 citing papers in PubMed.
- Glutamate dehydrogenase activity and non-ınvasive fibrosis ındices (APRI, AAR, FIB-4) compared to FibroScan in chronic hepatitis B and hepatocellular carcinoma.Irish journal of medical science · 2026Article
- Bid Protein: A Participant in the Apoptotic Network with Roles in Viral Infections.International journal of molecular sciences · 2025Review
- In vivo Hyperpolarized Metabolic Imaging to Monitor the Progression of Hepatitis B Virus (HBV)-Related Hepatitis to Liver Fibrosis.Molecular imaging and biology · 2024Article
- Baseline Circulating miR-125b Levels Predict a High FIB-4 Index Score in Chronic Hepatitis B Patients after Nucleos(t)ide Analog Treatment.Biomedicines · 2022Article
- Fc receptor-like 5 gene polymorphisms and mRNA expression are associated with liver fibrosis in chronic hepatitis B.Frontiers in microbiology · 2022Article
- Hepatic microenvironment underlies fibrosis in chronic hepatitis B patients.World journal of gastroenterology · 2020Article
- Radiology-pathology correlation in staging of liver fibrosis using superb microvascular imaging.Diagnostic and interventional radiology (Ankara, Turkey) · 2019Article
- Comparative analysis of vibration-controlled transient elastography and EUS-shear wave elastography for liver stiffness measurement in cirrhosis.Endoscopic ultrasoundArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Chronic hepatitis B virus infection (HBV) is considered a global public issue with more than 78.000 people per year dying of its evolution. With liver transplantation as the only viable therapeutic option but only in end-stage disease, hepatitis B progression may generally be influenced by various factors. Assessing fibrosis stage plays an important part in future decisions on the patients' wealth with available antiviral agents capable of preventing fibrosis passing to an end-stage liver disease. Several methods have been taken into consideration as an alternative for HBV quantification status, such as imaging techniques and serum based biomarkers. Magnetic resonance imaging, ultrasound, and elastography are considered non-invasive imaging techniques frequently used to quantify disease progression as well as patients future prognostic. Consequently, both direct and indirect biomarkers have been studied for differentiating between fibrosis stages. This paper reviews the current standings in HBV non-invasive liver fibrosis quantification, presenting the prognostic factors and available assessment procedures that might eventually replace liver biopsy.
Indexed as
Identifiers
26351528PMC4556907What OpenQuestion holds
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.