Pleiotropic Effects of a KCNQ1 Variant on Lipid Profiles and Type 2 Diabetes: A Family-Based Study in China by Xiaowen Wang, Junhui Wu, Yao Wu, Mengying Wang, Zijing Wang, Tao Wu, Dafang Chen, Xun Tang, Xueying Qin, Yiqun Wu, Yonghua Hu

“…The genetic variant rs2237895, located in the Potassium Voltage-Gated Channel Subfamily Q Member 1 (KCNQ1) gene, has been replicated to be associated with type 2 diabetes mellitus (T2DM) susceptibility, but the relationship with lipids is conflicting. …”
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Changes in Physical Activity Across Cancer Diagnosis and Treatment Based on Smartphone Step Count Data Linked to a Japanese Claims Database: Retrospective Cohort Study by Yoshihide Inayama, Ken Yamaguchi, Kayoko Mizuno, Sachiko Tanaka-Mizuno, Ayami Koike, Nozomi Higashiyama, Mana Taki, Koji Yamanoi, Ryusuke Murakami, Junzo Hamanishi, Satomi Yoshida, Masaki Mandai, Koji Kawakami

“…In this study, we included patients newly diagnosed with cancer, along with those newly diagnosed with diabetes mellitus for reference. We collected data between April 2014 and September 2021 and analyzed them. …”
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CHA2DS2-VASc Score Is Associated With Prognosis in Patients With Acute Ischemic Stroke Without Atrial Fibrillation by Mingjuan Song, MM, Xu Chen, MD

“…Background: Although the prognostic value of the CHA2DS2-VASc (congestive heart failure, hypertension, age ≥75 years, diabetes mellitus, prior stroke or transient ischemic attack, vascular disease, age 65-74 years, and female sex) scoring system in patients with stroke has been explored in several studies, a research gap exists in its application, especially in patients without atrial fibrillation (AF). …”
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Physical activity and motivational readiness for physical activity behavior change in adults with non-communicable diseases in Germany: a trend analysis of two cross-sectional heal... by Benjamin Wenz, Jonathan Graf, Gorden Sudeck, Wolfgang Geidl, Kristin Manz, Susanne Jordan, Andrea Teti, Lars Gabrys

“…Results Reporting any NCD is associated with lower fulfilment of health-enhancing aerobic PA in both surveys for almost all NCD, with lowest levels among adults reporting stroke, type 2 diabetes mellitus, chronic obstructive pulmonary disease, obesity and coronary heart disease. …”
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Triglyceride-glucose index predicts adverse cardiovascular events in patients with H-type hypertension combined with coronary heart disease: a retrospective cohort study by Changjiang Li, Shun Zhao, Yingkai Li, Songyuan He, Wen Jian, Yanci Liu, Zichao Cheng, Hongyu Peng

“…Abstract Background The triglyceride‒glucose index (TyG index) is a reliable surrogate for insulin resistance (IR) in individuals with type 2 diabetes mellitus and is associated with cardiovascular disease. …”
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Prevalence of hypertension in Shenzhen, China: a population-based, cross-sectional study by Ke Peng, Ji Peng, Yirong Wang, Weicong Cai, Lin Lei, Rencheng Zhao, Fangjiang Liu, Kaihao Lin, Fengzhu Xie

“…Male, older age, lower educational level, overweight and obesity, family history of HTN, tobacco smoking, alcohol intake, diabetes mellitus, dyslipidaemia and high uric acid were associated with HTN.Conclusions HTN is a major public health concern in Shenzhen, which has low awareness, treatment and control rates, and is associated with several risk factors. …”
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Systemic Diseases in Patients with Congenital Aniridia: A Report from the Homburg Registry for Congenital Aniridia by Jessica Obst, Fabian N. Fries, Maryam Amini, Annamária Náray, Cristian Munteanu, Tanja Stachon, Shweta Suiwal, Neil Lagali, Berthold Seitz, Barbara Käsmann-Kellner, Nóra Szentmáry

“…Systemic diseases were detected in 155 of 337 (46%) patients, with the most common being obesity (29 [8.6%]), thyroid disease (28 [8.3%]), hypertension (26 [7.7%]), intellectual disability (22 [6.5%]), diabetes mellitus (19 [5.6%]), auditory perception disorder/speech development delay (16 [4.7%]), and epilepsy (12 [3.6%]). …”
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Utilizing Technology-Enabled Intervention to Improve Blood Glucose Self-Management Outcome in Type 2 Diabetic Patients Initiated on Insulin Therapy: A Retrospective Real-World Stud... by Jian Lin, Xia Li, Shan Jiang, Xiao Ma, Yuxin Yang, Zhiguang Zhou

“…The aim of this study was to assess the benefits of a mobile-enabled app through Lilly Connected Care Program (LCCP) in achieving blood glucose control and adhering to self-monitoring of blood glucose in patients with type 2 diabetes mellitus (T2DM). Methods. This retrospective study included T2DM patients who were initiated on insulin therapy (mostly premixed insulin) after failure to respond to oral antidiabetic drugs. …”
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Human Umbilical Cord-Derived Mesenchymal Stem Cell Therapy Ameliorates Nonalcoholic Fatty Liver Disease in Obese Type 2 Diabetic Mice by Bing Li, Yu Cheng, Songyan Yu, Li Zang, Yaqi Yin, Jiejie Liu, Lin Zhang, Yiming Mu

“…Nonalcoholic fatty liver disease (NAFLD) is increasingly common among patients with type 2 diabetes mellitus (T2DM). The two conditions can act synergistically to produce adverse outcomes. …”
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Impact of Handgrip Strength on Survival in Hemodialysis Patients by Kyungho Park, Seongyeop Jeong, Hyerim Park, Eu Jin Lee, Young Rok Ham, Ki Ryang Na, Dae Eun Choi

“…In the multivariate Cox proportional hazards analysis, which adjusted for age, diabetes mellitus (DM), hypertension (HTN), BMI, fat tissue index (FTI), LTI, serum albumin, C-reactive protein (CRP), and CONUT score, HGS remained a significant predictor of survival in female dialysis patients (HR 2.77, 95% CI 1.00–7.65, <i>p</i> = 0.049). …”
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تأثیر تمرین هوازی تداومی و تناوبی بر سطوح سرمی گالکتین 3 و مقاومت به انسولین در رت‌های صحرایی نژاد ویستار مبتلا به دیابت بارداری... by احمد اربابی, مهدی مقرنسی, حامد فنایی, جواد نخزری خداخیر

“…مقاله پژوهشی مقدمه: دیابت بارداری (Gestational diabetes mellitus) GDM، یکی از شایع‌ترین بیماری‌های متابولیک در زنان باردار است. …”
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Integrated Evaluation of Age-Related Changes in Structural and Functional Vascular Parameters Used to Assess Arterial Aging, Subclinical Atherosclerosis, and Cardiovascular Risk in... by Daniel Bia, Yanina Zócalo, Ignacio Farro, Juan Torrado, Federico Farro, Lucía Florio, Alicia Olascoaga, Javier Brum, Walter Alallón, Carlos Negreira, Ricardo Lluberas, Ricardo L. Armentano

“…Then, we excluded subjects with (a) cardiovascular (CV) symptoms, (b) CV disease, (c) diabetes mellitus or renal failure, and (d) traditional CV risk factors (other than age and gender). …”
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The efficacy of open transanal drainage tube against anastomotic leakage in left-sided colorectal cancer surgery: a propensity score matching study by Gen Tsujio, Tatsunari Fukuoka, Atsushi Sugimoto, Ken Yonemitsu, Yuki Seki, Hiroaki Kasashima, Yuichiro Miki, Mami Yoshii, Tatsuro Tamura, Masatsune Shibutani, Takahiro Toyokawa, Shigeru Lee, Kiyoshi Maeda

“…PSM was performed between the OPEN and CLOSED groups on the basis of the following 13 factors: age, sex, BMI, diabetes mellitus (DM), smoking history, modified Glasgow prognostic score (mGPS), ASA-PS, location of distal tumor edge, operative procedure, surgical approach, operative time, intraoperative blood loss, and pathological stage. …”
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Integrating transcriptomics, metabolomics, and network pharmacology to investigate multi-target effects of sporoderm-broken spores of Ganoderma lucidum on improving HFD-induced dia... by Lidan Hu, Lili Yu, Zhongkai Cao, Yue Wang, Caifeng Zhu, Yayu Li, Jiazhen Yin, Zhichao Ma, Xuelin He, Ying Zhang, Wunan Huang, Yuelin Guan, Yue Chen, Xue Li, Xiangjun Chen

“…Diabetes mellitus (DM) is a major metabolic disease endangering global health, with diabetic nephropathy (DN) as a primary complication lacking curative therapy. …”
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Search for signals of positive selection of circadian rhythm genes <i>PER1</i>, <i>PER2</i>, <i>PER3</i> in different human populations by A. I. Mishina, S. Y. Bakoev, A. Y. Oorzhak, A. A. Keskinov, Sh. Sh. Kabieva, A. V. Korobeinikova, V. S. Yudin, M. M. Bobrova, D. A. Shestakov, V. V. Makarov, L. V. Getmantseva

“…In addition, many of the selection variants in the PER1, PER2, PER3 genes appear to regulate biological processes that are associated with major modern diseases, including obesity, cancer, metabolic syndrome, bipolar personality disorder, depression, rheumatoid arthritis, diabetes mellitus, lupus erythematosus, stroke and Alzheimer’s disease, making them extremely interesting targets for further research aimed at identifying the genetic causes of human disease.…”
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Impact of Novel Guidelines on Multifactorial Control and Its Association with Mortality in Adult Patients with Hypertension and Newly Diagnosed Type 2 Diabetes: A 4-Year Prospectiv... by Ngoc-Thanh-Van Nguyen, Hoa Ngoc Chau, Nam Hoai Le, Hai Hoang Nguyen, Hoai-An Nguyen

“…This prospective, observational study involved adult hypertensive patients with newly diagnosed type 2 diabetes mellitus at two university hospitals in Vietnam. …”
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Comparison of ultrasound features and lesion sites in dysfunctional arteriovenous fistula by Yin Wang, Xiao-mei Huang, Yi Zhang, Jingjing Li, Jun Li, Zheng Ye, Yu Peng, Xian-jin Zhang, Na Tang, Wen-wen Qiu, Li Xu

“…The dialysis duration and arteriovenous fistula use time were the highest in the vascular calcification group at 86 (interquartile range: 49–140) and 77 (interquartile range: 49–110) months, respectively. Diabetes mellitus was most common in the intima-dominant group (42.0%). …”
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Patterns and predictors of mortality in a semi-urban population-based cohort in Sri Lanka: findings from the Ragama Health Study by Anuradhani Kasturiratne, Dileepa Senajith Ediriweera, Madunil Anuk Niriella, Hithanadura Janaka de Silva, Arunasalam Pathmeswaran, Shamila Thivanshi De Silva, Uthuru Beddage Thulani, Anuradha Supun Dassanayake, Arjuna Priyadarsin De Silva, Sureka Chackrewarthy, Udaya Ranawaka, Norihiro Kato, Ananda Rajitha Wickremasinghe

“…Independent predictors of: ACM were older age, lower income, smoking and diabetes mellitus while gender, education, occupation, harmful alcohol use, waist circumference and hypertension were not; CVM were older age, lower income, smoking, diabetes and hypertension while gender and harmful alcohol use were not; CRM was older age while gender, smoking and diabetes were not. …”
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Risk factors and outcomes in patients who switched from peritoneal dialysis to physician-oriented or patient-oriented kidney replacement therapy by Liu Zhang, Xu Guan, Liang Liu, Yinghui Huang, Jiachuan Xiong, Jinghong Zhao

“…Factors included age at catheterization, education level, annual household income, and history of diabetes mellitus.…”
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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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