Glu4: An open-source package for real-time forecasting and alerting post-bariatric hypoglycemia based on continuous glucose monitoring by Luca Cossu, Francesco Prendin, Giacomo Cappon, David Herzig, Lia Bally, Andrea Facchinetti

“…Unlike in Type 1 and Type 2 diabetes (T1D, T2D), where decision support systems (DSS) and continuous glucose monitoring (CGM) tools aid blood glucose management, no dedicated DSS exists for PBH. …”
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Comparison of the effects of 3 kinds of oils rich in omega-3 polyunsaturated fatty acids on glycolipid metabolism and lipoprotein subfractions by Hechun Liu, Feng Wang, Hui Xia, Da Pan, Ligang Yang, Shaokang Wang, Feng Zhao, Guiju Sun

“…Dietary omega-3 polyunsaturated fatty acids (ω-3 PUFAs) can be classified into animal- and plant-derived ω-3 PUFAs. Patients with type 2 diabetes (T2DM) are frequently accompanied by dyslipidemia, which is closely related to the high-density lipoprotein (HDL-C) subfractions change. …”
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The Constellation of Macrovascular Risk Factors in Early Onset T2DM: A Cross-Sectional Study in Xinjiang Province, China by Mingchen Zhang, Jiangfeng Mao, Ablikm Tuerdi, Xiaoyun Zeng, Li Quan, Shan Xiao, Jun Zhu, Hua Yao

“…Despite a rapid popular of early onset type 2 diabetes (defined as diagnosis at <40 years old) recently, there is a lack of studies on this population in economically undeveloped area. …”
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Vanadyl Sulfate Effects on Systemic Profiles of Metabolic Syndrome in Old Rats with Fructose-Induced Obesity by Diego Ortega-Pacheco, María Marcela Jiménez-Pérez, Jeanet Serafín-López, Juan Gabriel Juárez-Rojas, Arturo Ruiz-García, Ursino Pacheco-García

“…Currently, energy obtained from hypercaloric diets has been part of the obesity and type 2 diabetes mellitus (T2DM) epidemics from childhood to old age. …”
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Bariatric surgery in elderly patients by Alexander V. Smirnov, Vladimir R. Stankevich, Ekaterina S. Danilina, Vladislav I. Sychev, Evgeniya M. Voronets, Vladimir I. Sharobaro, Nikolay A. Solovyev, Yury V. Ivanov, Robert I. Khabazov

“…The remission of type 2 diabetes was achieved in 70.6% of the patients of the older age group. …”
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Role of the serum levels of the inter-organs messenger fibroblast growth factor 21 (FGF21) in the diagnosis and prognosis of breast cancer patients by Stella Maris Ranuncolo, Eduardo Armanasco, Myriam Nuñez, Laura Yuan, Sujhrob Makhkamov, Mariana S. De Lorenzo

“…High serum FGF21 was found in obesity, metabolic syndrome, type 2 diabetes mellitus, and coronary heart disease. …”
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How Much Do We Know about the Biopsychosocial Predictors of Glycaemic Control? Age and Clinical Factors Predict Glycaemic Control, but Psychological Factors Do Not by Mohammad Farris Iman Leong Bin Abdullah, Hatta Sidi, Arun Ravindran, Paula Junggar Gosse, Emily Samantha Kaunismaa, Roslyn Laurie Mainland, Norlaila Mustafa, Nurul Hazwani Hatta, Puteri Arnawati, Amelia Yasmin Zulkifli, Luke Sy-Cherng Woon

“…Results. 300 patients with diabetes mellitus were recruited, with the majority (90%) having type 2 diabetes. In this population, the prevalence of poor glycaemic control (HbA1C≥7.0%) was 69%, with a median HbA1C of 7.6% (IQR=2.7). …”
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Echocardiographic phenotypes of diabetic myocardial disorder: evolution over 15 months follow-up in the ARISE-HF trial by Thomas H. Marwick, Carolyn Lam, Yuxi Liu, Stefano Del Prato, Julio Rosenstock, Javed Butler, Justin Ezekowitz, Nasrien E. Ibrahim, W. H. Wilson Tang, Faiez Zannad, Riccardo Perfetti, James L. Januzzi

“…Methods The Aldose Reductase Inhibition for Stabilization of Exercise Capacity in Heart Failure (ARISE-HF) trial was a Phase 3 randomised trial of an aldose reductase inhibitor in patients with well-controlled type 2 diabetes mellitus (T2DM). The 1858 potential participants (age 67 ± 7 years; 50% women) were screened for SBHF based on abnormal echocardiography or biomarkers (N-terminal pro-B-type natriuretic peptide ≥ 40 ng/L or high sensitivity cardiac troponin T ≥ 10 ng/L [women] and ≥ 16 ng/L [men]). …”
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Direct targeting of risk factors significantly increases the detection of liver cirrhosis in primary care: a cross-sectional diagnostic study utilising transient elastography by Guruprasad P Aithal, Indra Neil Guha, Stephen D Ryder, Emilie A Wilkes, David J Harman, Martin W James, Matthew Jelpke, Dominic S Ottey, Timothy R Card

“…Objectives To assess the feasibility of a novel diagnostic algorithm targeting patients with risk factors for chronic liver disease in a community setting.Design Prospective cross-sectional study.Setting Two primary care practices (adult patient population 10 479) in Nottingham, UK.Participants Adult patients (aged 18 years or over) fulfilling one or more selected risk factors for developing chronic liver disease: (1) hazardous alcohol use, (2) type 2 diabetes or (3) persistently elevated alanine aminotransferase (ALT) liver function enzyme with negative serology.Interventions A serial biomarker algorithm, using a simple blood-based marker (aspartate aminotransferase:ALT ratio for hazardous alcohol users, BARD score for other risk groups) and subsequently liver stiffness measurement using transient elastography (TE).Main outcome measures Diagnosis of clinically significant liver disease (defined as liver stiffness ≥8 kPa); definitive diagnosis of liver cirrhosis.Results We identified 920 patients with the defined risk factors of whom 504 patients agreed to undergo investigation. …”
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Evaluation of the digital diabetes prevention programme pilot: uncontrolled mixed-methods study protocol by William Henley, Elizabeth Murray, Kerry Daff, Anthi Lavida, Jenny Irwin, Jonathan Valabhji

“…Introduction The prevalence of type 2 diabetes is rising steeply. National Health Service England (NHSE) is exploring the potential of a digital diabetes prevention programme (DDPP) and has commissioned a pilot with embedded evaluation.Methods and analysis This study aims to determine whether, and if so, how, should NHSE implement a national DDPP, using a mixed-methods pretest and post-test design, underpinned by two theoretical frameworks: the Coventry, Aberdeen and London - Refined (CALO-RE) taxonomy of behavioural change techniques for the digital interventions and the Consolidated Framework for Implementation Research (CFIR) for implementation processes. …”
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Diabetes Increases Risk of Cardiovascular Events in Patients Receiving Permanent Pacemaker: A Propensity Score-Matched Cohort Study by Huang-Chung Chen, Wen-Hao Liu, Chien-Hao Tseng, Yung-Lung Chen, Wei-Chieh Lee, Yen-Nan Fang, Shaur-Zheng Chong, Mien-Cheng Chen

“…Background. Type 2 diabetes was associated with a higher risk for permanent pacemaker (PPM) treatment. …”
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Association of TCF7L2 genetic variants rs12255372 and rs7903146 with the polycystic ovary syndrome risk: systematic review and meta-analysis by Idrees A. Shah, Rabiya Rashid, Haroon Rashid, Abid Bhat, Mohd Ashraf Ganie

“…Abstract Background A significant overlap in the pathophysiological features of polycystic ovary syndrome (PCOS) and type 2 diabetes mellitus (T2DM) has been reported; and insulin resistance is considered a central driver in both. …”
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Biodegradable Polymer DES (Ultimaster) vs. Magnesium Bioresorbable Scaffold (BRS Magmaris) in Diabetic Population with NSTE-ACS: A One-Year Clinical Outcome of Two Sirolimus-Elutin... by Piotr Rola, Adrian Włodarczak, Mateusz Barycki, Marek Szudrowicz, Magdalena Łanocha, Jan Jakub Kulczycki, Karol Turkiewicz, Katarzyna Woźnica, Maciej Lesiak, Adrian Doroszko

“…Although percutaneous coronary intervention (PCI) continues to evolve, type 2 diabetes mellitus (T2DM) is a well-established marker of poor clinical prognosis after PCI, which is mainly attributed to the rapid progression of atherosclerosis requiring recurrent revascularizations. …”
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Multidrug-Resistant Tuberculosis and Its Association with Adrenal Insufficiency: Assessment with the Low-Dose ACTH Stimulation Test by René Rodríguez-Gutiérrez, Adrian Rendon, Maximiliano Barrera-Sánchez, Kevin Erick Gabriel Carlos-Reyna, Neri Alejandro Álvarez-Villalobos, Gloria González-Saldivar, José Gerardo González-González

“…Forty-seven percent of subjects had primary MDR-TB; 43.8% had type 2 diabetes; none were HIV-positive. We found at enrollment 2 cases (4.2%) of adrenal insufficiency taking 500 nmol/L as the standard cutoff point value and 4 cases (8.3%) alternatively, using 550 nmol/L. …”
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Genotype Distribution of CNDP1 Polymorphisms in the Healthy Chinese Han Population: Association with HbA1c and Fasting Blood Glucose by Shiqi Zhang, Juan Xu, Di Cui, Shujuan Jiang, Xin Xu, Yi Zhang, Dongchun Zhu, Li Xia, Benito Yard, Yonggui Wu, Qiu Zhang

“…We have previously reported that the CNDP1 (CTG)5 allele affords protection against diabetic nephropathy (DN) in patients with Type 2 diabetes (T2DM) of Caucasian origin. Because the incidence of ESRD attributable to both Type 1 diabetes (T1DM) and T2DM is higher among South Asian than Caucasian people, the present study assessed relevant CNDP1 polymorphisms and their association with metabolic parameters in the Chinese Han population. …”
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Diabetes and tuberculosis: a systematic review and meta-analyis of mendelian randomization evidence by Ivaan Pitua, Raafidha Raizudheen, Mark Muyanja, Joseph Nyero, Morrish Okello Obol

“…Findings indicated a consistent causal relationship between DM (particularly type 2 diabetes) and increased TB risk, with odds ratios (OR) ranging from 1.07 to 1.24 (p < 0.05). …”
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Cross-sectional design and protocol for Artificial Intelligence Ready and Equitable Atlas for Diabetes Insights (AI-READI) by Gerald McGwin, Linda M Zangwill, Nicholas Evans, Shannon McWeeney, Cecilia S Lee, Bhavesh Patel, Jeffrey C Edberg, Cynthia Owsley, Aaron Lee, Cecilia Lee, Sally L Baxter, Michael Snyder, Samantha Hurst, Nicole Ehrhardt, Christopher Chute, Dawn S Matthies, Julia P Owen, Amir Bahmani, Sally Baxter, Edward Boyko, Aaron Cohen, Jorge Contreras, Garrison Cottrell, Virginia de Sa, Jeffrey Edberg, Irl Hirsch, Michelle Hribar, T.Y. Alvin Liu, Bonnie Maldenado, Sara Singer, Bradley Voytek, Joseph Yracheta, Linda Zangwill

“…Introduction Artificial Intelligence Ready and Equitable for Diabetes Insights (AI-READI) is a data collection project on type 2 diabetes mellitus (T2DM) to facilitate the widespread use of artificial intelligence and machine learning (AI/ML) approaches to study salutogenesis (transitioning from T2DM to health resilience). …”
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Confounding Risk Factors in Developing Type 1 Diabetes Mellitus among Children and Adolescents at Sulaimani Chronic Diabetes Health Center by Pary Mohammad Azize, Chia H. Sadiq

“…Most of the participants, 19.4% of  family history was Type 2 diabetes, which was the first rank of the family history and majority of them were Kurdish in nationality. …”
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Bioinformatics and System Biological Approaches for the Identification of Genetic Risk Factors in the Progression of Cardiovascular Disease by Joy Dip Barua, Shudeb Babu Sen Omit, Humayan Kabir Rana, Nitun Kumar Podder, Utpala Nanda Chowdhury, Md Habibur Rahman

“…We observed that the number of 32, 17, 53, 70, and 89 differentially expressed genes (DEGs) is overlapped between CVD and its risk factors of hypertension (HTN), type 2 diabetes (T2D), hypercholesterolemia (HCL), obesity, and aging, respectively. …”
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Impact of a Novel Insulin Management Service on Non-insulin Pharmaceutical Expenses by John E. Schneider, Anjani Parikh, Ivana Stojanovic

“…Clinical practice guidelines recommend maintaining a hemoglobin A1c (HbA1c) level less than 7%, but among type 2 diabetes patients using insulin, two-thirds have HbA1c above 7% and one-third have HbA1c above 9%. …”
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