Results 141 to 150 of about 76,985 (253)

Diagnosis and management of celiac disease. [PDF]

CMAJ
Blom JJ, Gidrewicz D, Turner J, Duerksen DR, Pinto-Sánchez MI.   +4 more
europepmc   +1 more source

Correction to "Diagnosis and management of celiac disease". [PDF]

CMAJ
europepmc   +1 more source

Beyond gluten-free diet: Novel therapeutic frontiers in celiac disease armamentarium. [PDF]

World J Gastrointest Pharmacol Ther
Mundhra SK, Kochhar RK.
europepmc   +1 more source

Determinants of health‐related quality of life in adults with type 1 diabetes: The predominant role of sleep among lifestyle parameters

Diabetic Medicine, EarlyView.
Abstract Aim To examine the effect of lifestyle parameters on health‐related quality of life (HrQoL) in people with type 1 diabetes (PwT1D); specifically, whether aggregated lifestyle indices or individual components better explain variations in HrQoL.
Melina Karipidou, Stavros Liatis, Athanasia Kyrkili, Alexandra Skoufi, Vaia Lambadiari, Stelios Tigas, Evangelos Liberopoulos, Vasiliki Bountziouka, Meropi D. Kontogianni   +8 more
wiley   +1 more source

Association of Time in Range and Time in Tight Range With Cardiovascular Risk Factor Exposure in Youth With Type 1 Diabetes: A Cross‐Sectional Analysis on LDL Cholesterol and Blood Pressure Data From the SWEET International Database

Diabetes, Obesity and Metabolism, EarlyView.
ABSTRACT Aims To test the hypothesis that continuous glucose monitoring (CGM) metrics are independently associated with cardiovascular risk factor (CVRF) exposure, particularly low‐density lipoprotein cholesterol (LDL‐C) and blood pressure (BP), in youth with type 1 diabetes (T1D) enrolled in the international SWEET registry. Materials and Methods This
Claudia Piona, Agata Chobot, Jantje Weiskorn, Arun Shankar, Ingrida Stankute, Katrin Nagl, Marie‐Anne Burckhardt, Christina Kanaka‐Gantenbein, Francesco Gasparini, Marina Cavalin, Eva Hauser, Stefanie Lanzinger, Claudio Maffeis, SWEET Study Group   +13 more
wiley   +1 more source

Prevalence and Risk Factors of Celiac Disease in Patients With Non-Alcoholic Fatty Liver Disease: A Meta-Analysis. [PDF]

JGH Open
Keetha NR, Rashidian P, Fleischman M, Mohammadyari F, Ulrich MT, Hashemi SM, Balivada KS, Karimi MA, Letafatkar N, Amini-Salehi E, Nayak SS.   +10 more
europepmc   +1 more source

Impact of Autoimmune Hypothyroidism and Celiac Disease on Progression to Diabetes in Individuals Positive for GAD65 or IA‐2 Autoantibodies

Diabetes, Obesity and Metabolism, EarlyView.
ABSTRACT Aims To assess whether autoimmune hypothyroidism (AH) or celiac disease (CD) influences diabetes progression among individuals who tested positive on a pooled screening assay for glutamic acid decarboxylase 65 and insulinoma‐associated protein 2 autoantibodies (GADA/IA‐2A).
Afif Nakhleh, Gil Beeri, Omer Sudri, Shay Rotkopf, Naim Shehadeh   +4 more
wiley   +1 more source

Postprandial Glycemic Control With Automated Insulin Delivery With Control‐IQ Technology: The Impact of Meal Composition

Diabetes, Obesity and Metabolism, EarlyView.
ABSTRACT Aims To evaluate the efficiency of the AID system with Control‐IQ technology and carbohydrate counting (CHC)–based premeal bolus to control postprandial glucose (PPG) after mixed meals with different macronutrient compositions in adolescents with type 1 diabetes (T1D).
Marco Marigliano, Claudia Piona, Elisa Morotti, Maddalena Macedoni, Parto Kharazizadeh, Valentina Mancioppi, Francesca Tomasselli, Mara Tommasi, Claudio Maffeis   +8 more
wiley   +1 more source

Atypical presentation of celiac disease with ascites and hypoalbuminemia mimicking malignancy. [PDF]

Oxf Med Case Reports
El Aouadi S, Dghoughi B, Bahha S, Taibi O, Oubella H, Messaoud O, El Aoufir O, Jroundi L, Iraqi Houssaini Z.   +8 more
europepmc   +1 more source

Socioeconomic and Linguistic Factors in Paediatric Type 1 Diabetes: Exploring Glycemic Outcomes, Technology Use, and Residual Beta‐Cell Function in Migrant‐Background Populations

Diabetes, Obesity and Metabolism, EarlyView.
ABSTRACT Aims To investigate associations between migrant status, socioeconomic factors (SES), and residual beta‐cell function and glycemic outcomes in paediatric type 1 diabetes. Methods Retrospective study of 208 children (median [IQR] age 11 [8–14] years; 119 Italian, 89 from migrant‐background families) with glucometric (HbA1c, TIR, TITR, TAR, CV),
Silvia Savastio, Andrea E. Scaramuzza, Erica Pozzi, Valeria Castorani, Eleonora Chiarle, Aurora Craici, Valentina Todescato, Claudio Cavalli, Ivana Rabbone   +8 more
wiley   +1 more source