Primary prophylaxis of variceal bleeding in patients with cirrhosis: A comparison of different strategies

Systematic review of machine learning models in predicting the risk of bleed/grade of esophageal varices in patients with liver cirrhosis: A comprehensive methodological analysis

Esophageal varices (EV) in liver cirrhosis carry high mortality risks. Traditional endoscopy, which is costly and subjective, prompts a shift towards machine learning (ML). This review critically evaluates ML applications in predicting bleeding risks and grading EV in patients with liver cirrhosis. Following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, we conducted a systematic review of studies using ML to predict the risk of variceal bleeding and/or grade EV in liver disease patients. Data extraction and bias assessment followed the CHARMS (CHecklist for critical Appraisal and data extraction for systematic Reviews of prediction Modeling Studies) checklist and PROBAST (Prediction model Risk Of Bias Assessment Tool) tool, respectively. Due to the heterogeneity of the study, a meta-analysis was not feasible; instead, descriptive statistics summarized the findings. Twelve studies were included, highlighting the use of various ML models such as extreme gradient boosting, artificial neural networks, and convolutional neural networks. These studies demonstrated high predictive accuracy, with some models achieving area under the curve values above 99%. However, significant heterogeneity was noted in input variables, methodologies, and outcome measures. Moreover, a substantial portion of the studies exhibited unclear or high risk of bias, mainly due to insufficient participant numbers, unclear handling of missing data, and a lack of detailed reporting on endoscopic procedures. ML models show significant promise in predicting the risk of variceal bleeding and grading EV in patients with cirrhosis, potentially reducing the need for invasive procedures. Nonetheless, the current literature reveals considerable heterogeneity and methodological limitations, including high or unclear risks of bias. Future research should focus on larger, prospective trials and the standardization of ML assessment criteria to confirm these models' practical utility in clinical settings.

Guidelines for the Management of Esophagogastric Variceal Bleeding in Cirrhotic Portal Hypertension

To standardize the diagnosis, treatment, and management of esophagogastric variceal bleeding (EVB) in patients with cirrhotic portal hypertension, the Chinese Society of Hepatology, the Chinese Society of Gastroenterology, and the Chinese Society of Digestive Endoscopy of the Chinese Medical Association brought together relevant experts, reviewed the latest national and international progress in clinical research on EVB in cirrhotic portal hypertension, and followed evidence-based medicine to update the Guidelines on the Management of EVB in Cirrhotic Portal Hypertension. The guidelines provide recommendations for the diagnosis, treatment, and management of EVB in cirrhotic portal hypertension and with the aim to improve the level of clinical treatment of EVB in patients with cirrhotic portal hypertension.

The role of computed tomography for the prediction of esophageal variceal bleeding: Current status and future perspectives

Esophageal variceal bleeding (EVB) is one of the most common and severe complications related to portal hypertension (PH). Despite marked advances in its management during the last three decades, EVB is still associated with significant morbidity and mortality. The risk of first EVB is related to the severity of both PH and liver disease, and to the size and endoscopic appearance of esophageal varices. Indeed, hepatic venous pressure gradient (HVPG) and esophagogastroduodenoscopy (EGD) are currently recognized as the “gold standard” and the diagnostic reference standard for the prediction of EVB, respectively. However, HVPG is an invasive, expensive, and technically complex procedure, not widely available in clinical practice, whereas EGD is mainly limited by its invasive nature. In this scenario, computed tomography (CT) has been recently proposed as a promising modality for the non-invasive prediction of EVB. Although CT is only a diagnostic modality, thus being not capable of supplanting EGD or HVPG in providing therapeutic and physiological data, it could potentially assist liver disease scores, HVPG, and EGD in a more effective prediction of EVB. However, to date, evidence concerning the role of CT in this setting is still lacking. Our review aimed to summarize and discuss the current evidence concerning the role of CT in predicting the risk of EVB.

Non-selective beta-blockers and the incidence of hepatocellular carcinoma in patients with cirrhosis: a meta-analysis

Background: Hepatocellular carcinoma (HCC) is a serious complication of cirrhosis. Currently, non-selective beta-blockers (NSBBs) are commonly used to treat portal hypertension in patients with cirrhosis. The latest research shows that NSBBs can induce apoptosis and S-phase arrest in liver cancer cells and inhibit the development of hepatic vascular endothelial cells, which may be effective in preventing HCC in cirrhosis patients. Aim: To determine the relationship between different NSBBs and HCC incidence in patients with cirrhosis. Methods: We searched the Cochrane database, MEDLINE, EMBASE, PubMed, and Web of Science. Cohort studies, case‒control studies, and randomized controlled trials were included if they involved cirrhosis patients who were divided into an experimental group using NSBBs and a control group with any intervention. Based on heterogeneity, we calculated odds ratio (OR) and 95% confidence interval (CI) using random-effect models. We also conducted subgroup analysis to explore the source of heterogeneity. Sensitivity analysis and publication bias detection were performed. Results: A total of 47 studies included 38 reporting HCC incidence, 26 reporting HCC-related mortality, and 39 reporting overall mortality. The HCC incidence between the experimental group and the control group was OR = 0.87 (0.69 and 1.10), p = 0.000, and I2 = 81.8%. There was no significant association between propranolol (OR = 0.94 and 95%CI 0.62-1.44) or timolol (OR = 1.32 and 95%CI 0.44-3.95) and HCC incidence, while the risk of HCC decreased by 26% and 38% with nadolol (OR = 0.74 and 95%CI 0.64-0.86) and carvedilol (OR = 0.62 and 95%CI 0.52-0.74), respectively. Conclusion: Different types of NSBB have different effects on the incidence of patients with cirrhosis of the liver, where nadolol and carvedilol can reduce the risk. Also, the effect of NSBBs may vary in ethnicity. Propranolol can reduce HCC incidence in Europe and America. Systematic Review Registration: identifier https://CRD42023434175, https://www.crd.york.ac.uk/PROSPERO/.