The Effect of Angipars on Diabetic Neuropathy in STZ-Induced Diabetic Male Rats: A Study on Behavioral, Electrophysiological, Sciatic Histological and Ultrastructural Indices by Nasser Zangiabadi, Hossein Mohtashami, Mahboobeh Hojatipour, Mandana Jafari, Majid Asadi-Shekaari, Mohammad Shabani

“…Diabetes mellitus is the most common metabolic disease with a high prevalence rate in human society that eventually leads to the peripheral nervous system complications in a great number of patients. …”
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An explainable deep learning model for diabetic foot ulcer classification using swin transformer and efficient multi-scale attention-driven network by R. Karthik, Armaano Ajay, Anshika Jhalani, Kruthik Ballari, Suganthi K

“…Abstract Diabetic Foot Ulcer (DFU) is a severe complication of diabetes mellitus, resulting in significant health and socio-economic challenges for the diagnosed individual. …”
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Additive Effect of Sarcopenia and Anemia on the 10-Year Risk of Cardiovascular Disease in Patients with Type 2 Diabetes by Feihui Zeng, Lingning Huang, Yongze Zhang, Xinyu Hong, Suiyan Weng, Ximei Shen, Fengying Zhao, Sunjie Yan

“…A cross-sectional study was conducted involving 4673 hospitalized patients (2271 men and 2402 women) with type 2 diabetes mellitus, with an average age of 60.66±11.93 years, of whom 542 were followed up for a median follow-up period of 24 months. …”
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Obesity Cut-Off Points Using Prepregnancy Body Mass Index according to Cardiometabolic Conditions in Pregnancy by Renata O. Neves, Alexandre da S. Rocha, Bruna O. de Vargas, Daniela C. Kretzer, Salete de Matos, Marcelo Z. Goldani, Lisia von Diemen, José A. de A. Magalhães, Juliana R. Bernardi

“…To suggest cut-off points for body mass index (BMI) using gestational hypertension, preeclampsia, and gestational diabetes mellitus (GDM) as cardiometabolic conditions in pregnancy. …”
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Predicting Factors Affecting Survival Rate in Patients Undergoing On‐Pump Coronary Artery Bypass Graft Surgery Using Machine Learning Methods: A Systematic Review by Alireza Jafarkhani, Behzad Imani, Soheila Saeedi, Amir Shams

“…Notably, five factors—age, ejection fraction, diabetes mellitus, a history of cerebrovascular disease or accidents, and renal function—were consistently identified across multiple studies as significant predictors of postsurgical survival. …”
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Disfunción renal: fármacos, medios de contraste radiológicos y sistema renina angiotensina by José Antonio Chipi Cabrera, Julio Alexander Silveira Echavarría, Aliuska Naranjo Hernández, Darnelys Méndez Lemus, Giraldo Hurtado Báez

“…El continuo envejecimiento poblacional, unido al incremento de la prevalencia de enfermedades crónicas no trasmisibles, entre las que se destacan la diabetes mellitus y la hipertensión arterial, como principales causas de deterioro de la función renal en las personas, ha hecho que con el paso de los años se introduzcan nuevos fármacos, más potentes, para la prevención y tratamiento de dichas entidades, lo que obliga a estar al día en el conocimiento de las características farmacocinéticas de estos medicamentos para evitar posibles efectos tóxicos, esto implica hacer una valoración previa de la función renal antes de introducir cualquier sustancia que pudiera ser potencialmente nefrotóxica. …”
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Monocyte to high-density lipoprotein cholesterol ratio as a marker of the presence and progression of diabetic kidney disease by Wentao Yang, Yuanlong Zhong, Pengying Zhou, Donghui Lu

“…Our research aimed to investigate the relationship between MHR and DKD.Methods This was a cross-sectional retrospective study of 159 participants with type 2 diabetes mellitus. MHR, urinary albumin-to-creatinine ratio (UACR) and other indexes were measured. …”
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Fetuin-A Characteristics during and after Pregnancy: Result from a Case Control Pilot Study by Serdar Farhan, Ammon Handisurya, Jelena Todoric, Andrea Tura, Giovanni Pacini, Oswald Wagner, Katharina Klein, Rudolf Jarai, Kurt Huber, Alexandra Kautzky-Willer

“…Fetuin-A has been associated with gestational diabetes mellitus (GDM). We investigated fetuin-A levels during and after pregnancy in women with GDM. …”
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Type II Diabetes Patients under Sildenafil Citrate: Case Series Showing Benefits and a Side Effect by Livia M. Zimmermann, Mauricio S. Baptista, João Paulo Tardivo, Maria A. Pinhal

“…Background. Diabetes mellitus is a highly prevalent disease with rapid universal growth. …”
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Protracted Hypocalcemia following 3.5 Parathyroidectomy in a Kidney Pancreas Recipient with a History of Robotic-Assisted Roux-en-Y Gastric Bypass by Hugo Bonatti, Naureen Iqbal, Catherine Kling, Willie Melvin, James Broome

“…A 41-old-year morbidly obese female with c-peptide negative diabetes mellitus and renal failure had RYGBP. Following significant weight loss she underwent simultaneous pancreas-kidney transplantation. …”
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Effectiveness of Vildagliptin in Clinical Practice: Pooled Analysis of Three Korean Observational Studies (the VICTORY Study) by Sunghwan Suh, Sun Ok Song, Jae Hyeon Kim, Hyungjin Cho, Woo Je Lee, Byung-Wan Lee

“…The present observational study aimed to evaluate the clinical effectiveness of vildagliptin with metformin in Korean patients with type 2 diabetes mellitus (T2DM). Data were pooled from the vildagliptin postmarketing survey (PMS), the vildagliptin/metformin fixed drug combination (DC) PMS, and a retrospective observational study of vildagliptin/metformin (fixed DC or free DC). …”
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Estimation of Global Cardiovascular Risk in Hypertensive Patients from the University of Medical Sciences of Cienfuegos by Lucía Baños Leyva, Milagros Lisset León Regal, Luis Alberto Mass Sosa, Jacqueline Zamora Galindo, José Andy Hernández Quintana, Judeny Colls Cañizares

“…The variables studied were: age, gender, total cholesterol, smoking, systolic blood pressure, diagnosed diabetes mellitus, and global cardiovascular risk. The absolute and relative frequency of the variables were calculated and Pearson's Chi square was applied in the association of the variables and low cardiovascular risk with a significance level of p=0.05. …”
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Maximal Glycemic Difference, the Possible Strongest Glycemic Variability Parameter to Predict Mortality in ICU Patients by Thanaphruet Issarawattana, Rungsun Bhurayanontachai

“…Higher glycemic variability was identified in the nonsurvivor group regardless of preexisting diabetes mellitus. The maximal blood glucose difference and coefficient of variation of the blood glucose were the two strongest parameters for predicting intensive care unit mortality in this study.…”
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Irisin Exerts Neuroprotective Effects on Cultured Neurons by Regulating Astrocytes by Kexin Wang, Hongyan Li, Hongxing Wang, Jun-hui Wang, Feng Song, Yu Sun

“…Our finding may provide novel evidence for the future application of irisin in the treatment of Alzheimer’s disease and the memory dysfunction in diabetes mellitus.…”
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Nutritional Status of Patients on Maintenance Hemodialysis at Muhimbili National Hospital in Dar es Salaam, Tanzania: A Cross-Sectional Study by Puneet Bramania, Paschal Ruggajo, Rimal Bramania, Muhiddin Mahmoud, Francis Furia

“…The longer duration on hemodialysis, having diabetes mellitus, and being single were associated with increased risk for malnutrition in multivariate logistic regression. …”
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Characterization of patients with ischemic cerebrovascular disease and cognitive impairment. Cienfuegos, 2018 by Beatriz Perdomo Borges, Teresa Rodríguez Rodríguez, Marianela Fonseca Fernández, Isabel Urquiza Pozo, Idalmis Luisa Martínez Serrano, Belkis Rosa Bilaboy Pérez

“…The risk factors mostly associated with the disease were high blood pressure, diabetes mellitus and smoking. The majority of patients did not suffer depression after cerebral infarction.…”
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The Relation of Coffee Consumption to Serum Uric Acid in Japanese Men and Women Aged 49–76 Years by Ngoc Minh Pham, Daigo Yoshida, Makiko Morita, Guang Yin, Kengo Toyomura, Keizo Ohnaka, Ryoichi Takayanagi, Suminori Kono

“…Statistical adjustment was made for body mass index, alcohol use, hypertension, diabetes mellitus, and other factors. Results. There were inverse associations of coffee consumption with serum UA concentrations and hyperuricemia in men regardless of adjustment for covariates. …”
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Utilidad de una escala de riesgo para identificar pacientes con disglucemia by Rubén González Tabares, Frank Abel Acosta González

“…Se determinó la frecuencia de factores de riesgo de diabetes mellitus tipo 2 comprendidos en la escala de Bang y otros, y en el proceder enfocado en factores de riesgo de American Diabetes Association. …”
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Serum uric acid to creatinine ratio as a predictor of insulin resistance, β cell function, and metabolic syndrome in normal Korean adults: a cross-sectional study by Misuk Oh, Soo Hyun Cho

“…Materials and methods This study included 14,984 participants without diabetes mellitus or gout who participated in the 2019–2021 Korea National Health and Nutrition Examination Survey. …”
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Impact of hypertension on changes in peripapillary retinal nerve fiber layer thickness in type 2 diabetes patients by Jae-Yun Sung, Tae-Seen Kang, Ka-Hyun Lee, Min-Woo Lee

“…Abstract To determine longitudinal changes in the peripapillary retinal nerve fiber layer (pRNFL) thickness in type 2 diabetes mellitus (T2DM) patients with hypertension (HTN). …”
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