ArticleDigestive diseases and sciences2021
Comparison of Seven Noninvasive Models for Predicting Decompensation and Hospitalization in Patients with Cirrhosis.
Article in Digestive diseases and sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.
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Who cites it
16 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Prognostic biomarkers for predicting decompensation in alcoholic and non-alcoholic patients with compensated cirrhosis: a systematic review and meta-analysis.Frontiers in medicine · 2025Pooled it
- Systematic review and meta-analysis of biomarkers predicting decompensation in patients with compensated cirrhosis.BMJ open gastroenterology · 2024Pooled it
- Early Prediction of Hepatic Decompensation in Cirrhosis Using Optimised XGBoost Models at the Initial Outpatient Hepatology Visit.Liver international : official journal of the International Association for the Study of the Liver · 2026Article
- Biomarkers for the Diagnosis of Cirrhosis and Cirrhosis-Related Complications.Gastroenterology clinics of North America · 2026Review
- Bioelectrical impedance analysis-derived phase angle predicts osteosarcopenia and mortality in patients with chronic liver disease.Scientific reports · 2025Article
- Agile 3+ and 4 Scores Accurately Predict Major Adverse Liver Outcomes, Liver Transplant, Progression of MELD Score, the Development of Hepatocellular Carcinoma, and Death in NAFLD.Digestive diseases and sciences · 2025Article
- The Combined ALBI-FIB-4 Score for Prognostic Stratification in Hepatocellular Carcinoma: A Single Center Retrospective Study.Journal of hepatocellular carcinoma · 2025Article
- ALBI score combined with FIB-4 index to predict post-hepatectomy liver failure in patients with hepatocellular carcinoma.Scientific reports · 2024Article
- Development and validation of a prognostic score for TIPS placement in patients with viral hepatitis cirrhosis-related portal hypertension: a multi-center retrospective study.Frontiers in medicine · 2024Article
- Albumin‑bilirubin grade and INR for the prediction of esophagogastric variceal rebleeding after endoscopic treatment in cirrhosis.Experimental and therapeutic medicine · 2023Article
- PRO-C3 is a predictor of clinical outcomes in distinct cohorts of patients with advanced liver disease.JHEP reports : innovation in hepatology · 2023Article
- Prognostic assessment of liver cirrhosis and its complications: current concepts and future perspectives.Frontiers in medicine · 2023Review
- Insulin-like growth factor 1 predicts decompensation and long-term prognosis in patients with compensated cirrhosis.Frontiers in medicine · 2023Article
- Identifying Ascites in Patients with Cirrhosis Using Administrative Codes and Diuretic Use: A Multicenter Study.Digestive diseases and sciences · 2022Article
- A Blood-Based Prognostic Liver Secretome Signature Predicts Long-term Risk of Hepatic Decompensation in Cirrhosis.Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association · 2022Article
- Serum Glycated Albumin Levels Are Affected by Alcohol in Men of the Jinuo Ethnic Group in China.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2021Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
BACKGROUND/
aimPatients with cirrhosis have poor outcomes once decompensation occurs; however, we lack adequate predictors of decompensation. To use a national claim database to compare the predictive accuracy of seven models for decompensation and hospitalization in patients with compensated cirrhosis.
methodsWe defined decompensation as ascites, hepatic encephalopathy, hepato-renal syndrome, and variceal bleeding. Patients without decompensation at the time of cirrhosis diagnosis were enrolled from 2001 to 2015. Patients with hepatitis B and/or C were grouped as viral cirrhosis. We compared the predictive accuracy of models with the AUC (area under the curve) and c-statistic. The cumulative incidence of decompensation and incidence risk ratios of hospitalization were calculated with the Fine-Gray competing risk and negative binomial models, respectively.
resultsA total of 3722 unique patients were enrolled with a mean follow-up time of 524 days. The mean age was 59 (standard deviation 12), and the majority were male (55%) and white (65%). Fifty-three percent of patients had non-viral cirrhosis. Sixteen and 20 percent of patients with non-viral and viral cirrhosis, respectively, developed decompensation (P = 0.589). The FIB-4 model had the highest 3-year AUC (0.73) and overall c-statistic (0.692) in patients with non-viral cirrhosis. The ALBI-FIB-4 model had the best 1-year (AUC = 0.741), 3-year (AUC = 0.754), and overall predictive accuracy (c-statistic = 0.681) in patients with viral cirrhosis. The MELD score had the best predictive power for hospitalization in both non-viral and viral patients.
conclusionsFIB-4-based models provide more accurate prediction for decompensation, and the MELD model has the best predictive ability of hospitalization.
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