ArticleAnnals of medicine2025
Comparing efficacy of different scoring models to predict hepatic encephalopathy after TIPS in cirrhotic patients.
Article in Annals of medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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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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Who cites it
3 citing papers in PubMed.
- Enhancing post-TIPS hepatic encephalopathy risk stratification: a hybrid TabPFN model leveraging radiomics, deep transfer learning features, and MELD score.Hepatology international · 2026Article
- Machine learning-based prediction models for liver-related events in patients with hepatitis B-related cirrhosis and clinically significant portal hypertension.World journal of gastroenterology · 2026Article
- Letter to the editor regarding: 'comparing efficacy of different scoring models to predict hepatic encephalopathy after TIPS in cirrhotic patients'.Annals of medicine · 2025Article
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAssessing hepatic encephalopathy (HE) risk post-transjugular intrahepatic portosystemic shunt (TIPS) in cirrhotic patients is crucial. This study compares the predictive performance of Child-Pugh and Model for End-Stage Liver Disease (MELD), CLIFC-AD and Freiburg index of post-TIPS survival (FIPS) scores for overt and severe HE. To compare the predictive value of Child-Pugh, MELD, CLIFC-AD and FIPS scores for overt and severe HE post-TIPS in cirrhotic patients. MATERIALS AND
methodsWe retrospectively analysed data from 406 cirrhotic TIPS patients (January 2017-January 2021). Scoring models were assessed for differentiation (C-index), calibration, clinical utility and overall performance at 1, 3, 6 and 12 months post-TIPS.
resultsPredictive performance for overt HE post-TIPS was low across models. FIPS had superior predictive ability for severe HE at 1 and 12 months post-TIPS (C-index: 0.781, 0.705). FIPS and CLIFC-AD showed good predictive capacity for severe HE in sarcopenic patients at 1 and 12 months (FIPS: C-index 0.863, 0.757; CLIFC-AD: C-index 0.748, 0.732). FIPS had the highest hazard ratio for severe HE (HR = 3.520, 95% CI: 2.134-5.807) and CLIFC-AD for overt HE (HR = 2.132, 95% CI: 1.581-2.874).
conclusionFIPS and CLIFC-AD scores demonstrate significant predictive ability for severe HE post-TIPS, particularly in sarcopenic patients.
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