Digestive Diseases

Nov 21, 2024 | academic.oup.com | Digestive Diseases

Gallbladder cancer is often associated with poor prognosis, especially when patients experience early recurrence after surgery. Machine learning may improve prediction accuracy by analysing complex non-linear relationships. The aim of this study was to develop and evaluate a machine learning model to predict early recurrence risk after resection of gallbladder cancer.

Oct 24, 2024 | genomemedicine.biomedcentral.com | de Cid |Digestive Diseases |L’Hospitalet de Llobregat |L’Hospitalet del Llobregat

We profiled metabolite blood levels of 4974 individuals of the GCATcore. The quality control procedure provided a final dataset of 187 metabolites and 3 ratios for subsequent analyses.

Oct 24, 2024 | gut.bmj.com | Isabel Fabregat |Francisco Javier Cubero |Digestive Diseases

ECM1: a novel matricellular protein with promising antifibrotic potential Statistics from Altmetric.com Request Permissions If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.

Jun 14, 2024 | pathsocjournals.onlinelibrary.wiley.com | Ester Gonzalez-Sanchez |Digestive Diseases |ISCIII Madrid Spain |Javier Vaquero

Introduction Fibrosis is a highly conserved and coordinated, initially protective, response to tissue injury. The interaction among multiple pathways determines whether fibrosis is self-limiting and homeostatic or whether it is uncontrolled and excessive [1]. When a chronic injury takes place in the liver, mobilization of lymphocytes and other inflammatory cells occurs, thus setting the stage for persistence of an inflammatory response.

Aug 22, 2023 | academic.oup.com | Maria Teresa |Miguel Ángel |Digestive Diseases

Despite classical association between metabolic dysfunction–associated steatotic liver disease (MASLD) and obesity, there is increasing evidence on the development of MASLD in lean individuals. The aim of the study was to assess the prevalence and risk factors of MASLD and significant liver fibrosis in lean participants with inflammatory bowel disease (IBD).