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Coeliac disease: complications and comorbidities.
Nat Rev Gastroenterol Hepatol
January 2025
Takeda Pharmaceuticals, Cambridge, MA, USA.
Coeliac disease is an autoimmune disease characterized by small intestinal villus atrophy and inflammation upon exposure to gluten. It has a global prevalence of approximately 1%. Although the gluten-free diet can be an effective treatment, this diet is burdensome with practical difficulties and frequent inadvertent gluten exposure.
View Article and Find Full Text PDFGenetic Mediators of Celiac Disease and Premature Ovarian Failure: Hypothyroidism and Systemic Lupus Erythematosus.
Am J Reprod Immunol
February 2025
Department of Gynecology and Obstetrics, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Background: Observational studies suggested celiac disease (CD) possibly be a risk factor for premature ovarian failure (POF). However, causality remains unclear. And hypothyroidism and systemic lupus erythematosus may be the mediating factors.
View Article and Find Full Text PDFTelemedicine in Coeliac Disease: In-Person Appointments Are Favoured by Patients With a Lower Education Attainment and Lower Household Income.
J Hum Nutr Diet
February 2025
School of Life and Health Sciences, University of Roehampton, London, UK.
Introduction: A gluten-free (GF) diet, the only treatment for people living with coeliac disease (CD), is challenging, and international guidelines highlight the valuable role of healthcare professionals in enabling self-management. The study aimed to explore the acceptability of telephone and online video consultations for adults with CD.
Methods: A cross-sectional study consisting of an online and paper survey was promoted to adults with CD.
Validation of UniverSeg for Interventional Abdominal Angiographic Segmentation.
J Imaging Inform Med
January 2025
Department of Radiation Oncology, Henry Ford Health, Detroit, MI, USA.
Automatic segmentation of angiographic structures can aid in assessing vascular disease. While recent deep learning models promise automation, they lack validation on interventional angiographic data. This study investigates the feasibility of angiographic segmentation using in-context learning with the UniverSeg model, which is a cross-learning segmentation model that lacks inherent angiographic training.
View Article and Find Full Text PDFMetabolic Dysfunction-Associated Steatotic Liver Disease and Pancreatic Disease-A Population-Based Nationwide Cohort and Sibling-Controlled Study.
United European Gastroenterol J
January 2025
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Introduction: Metabolic dysfunction-associated steatotic liver disease (MASLD) has been linked to pancreatic diseases, but evidence from population-based studies with liver histology is lacking.
Aims And Methods: In this population-based cohort including all Swedish adults (n = 8563) with biopsy-proven MASLD, we aimed to investigate incidences of pancreatic diseases compared with matched reference individuals from the general population (n = 38,858) and full siblings (n = 6696). Using Cox proportional hazard models, we calculated multivariable adjusted hazard ratios (aHRs) and confidence intervals (CIs).
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