ArticleJournal of clinical and translational hepatology2024
Development and Validation of a New Prognostic Model for Predicting Survival Outcomes in Patients with Acute-on-chronic Liver Failure.
Article in Journal of clinical and translational hepatology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.
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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.
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Who cites it
3 citing papers in PubMed.
- Development and validation of a prognostic model for acute-on-chronic liver failure.Frontiers in cellular and infection microbiology · 2026Article
- Redefining the albumin-bilirubin score: Predictive modeling and multidimensional integration in liver and systemic disease.World journal of gastroenterology · 2025Article
- Machine learning-based algorithms for the prediction of 90-day survival in patients with liver failure receiving artificial liver therapy.Frontiers in physiology · 2025Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background and Aims: Early determination of prognosis in patients with acute-on-chronic liver failure (ACLF) is crucial for optimizing treatment options and liver allocation. This study aimed to identify risk factors associated with ACLF and to develop new prognostic models that accurately predict patient outcomes. Methods: We retrospectively selected 1,952 hospitalized patients diagnosed with ACLF between January 2010 and June 2018. This cohort was used to develop new prognostic scores, which were subsequently validated in external groups. Results: The study included 1,386 ACLF patients and identified six independent predictors of 28-day mortality through multivariate analysis (all Conclusions: This study presents a refined prognostic model, the Model for end-stage liver disease-complication score, which accurately predicts short-term mortality in ACLF patients. This model offers a new perspective and tool for improved clinical decision-making and short-term prognostic assessment in ACLF patients.
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Registered trials
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