ArticleJHEP reports : innovation in hepatology2026
Blood-based Vienna 3P/5P risk models accurately predict first hepatic decompensation in compensated advanced chronic liver disease.
Article in JHEP reports : innovation in hepatology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03267615 (VICIS - Vienna Cirrhosis Study), which is not on this map. Cited by 3 papers.
What it found
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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.
VICIS - Vienna Cirrhosis Study
Who cites it
3 citing papers in PubMed.
- External Validation of Laboratory-Based Models to Assess Portal Hypertension Severity in Patients with Compensated Chronic Liver Disease.Digestive diseases and sciences · 2026Article
- Recent Advances in the Diagnosis and Management of Clinically Significant Portal Hypertension in Liver Cirrhosis: A Clinical Review.Biomedicines · 2026Review
- Application of artificial intelligence in hepatology.Frontiers in digital health · 2026Review
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Authors and funding
22 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background & Aims: Invasive measurement of hepatic venous pressure gradient (HVPG) is the gold standard for diagnosing clinically significant portal hypertension (CSPH, Methods: Patients with compensated advanced chronic liver disease (cACLD) who underwent HVPG measurement and LSM within the prospective VICIS (Vienna Cirrhosis Study) were included. We assessed the ability of each model to detect CSPH and severe PH (HVPG ≥16 mmHg), predict decompensation, and stratify risk. Outcome prediction was further validated in an external cohort. Results: Among 266 patients with diverse etiologies of cACLD, median HVPG was 11 (8-16) mmHg with a CSPH and severe PH prevalence of 62.8% and 25.6%, respectively. The 3P/5P models correlated with HVPG (both Conclusion: The blood-based 3P/5P models demonstrated significant prognostic value for predicting hepatic decompensation and identifying patients with cACLD at high risk. Importantly, the 5P model performed comparably to HVPG. Impact and implications: This study addresses the clinical need for accessible, reliable, and cost-effective non-invasive tools to predict hepatic decompensation in patients with compensated advanced chronic liver disease, given the limited availability of hepatic venous pressure gradient and liver stiffness measurement. By demonstrating that the Vienna 3P/5P models - machine learning tools based solely on routine laboratory parameters - achieve comparable prognostic accuracy to hepatic venous pressure gradient and outperform other non-invasive tools, such as liver stiffness measurement or the ANTICIPATE±NASH model, these findings have significant implications for clinicians providing care for patients with compensated advanced chronic liver disease. The models' simplicity, repeatability and wide availability could facilitate timely risk stratification and improved clinical management across diverse healthcare settings. Clinical trial number: NCT03267615.
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