Results 191 to 200 of about 37,693 (353)

Clinical periodontal diagnosis

Periodontology 2000, EarlyView., 2023
Abstract Periodontal diseases include pathological conditions elicited by the presence of bacterial biofilms leading to a host response. In the diagnostic process, clinical signs such as bleeding on probing, development of periodontal pockets and gingival recessions, furcation involvement and presence of radiographic bone loss should be assessed prior ...
Giovanni E. Salvi, Andrea Roccuzzo, Jean‐Claude Imber, Alexandra Stähli, Björn Klinge, Niklaus P. Lang   +5 more
wiley   +1 more source

The Combinational Effect of Inulin and Resveratrol on the Oxidative Stress and Inflammation Level in a Rat Model of Diabetic Nephropathy

, 2023
Farideh Ghavidel, Hamed Amiri, Masoud Homayouni Tabrizi, Soodeh Alidadi, Hossein Hosseini, Amirhossein Sahebkar   +5 more
openalex   +1 more source

Urinary Exosomes in Nephrology: A New Frontier for Diagnosis and Prognosis of Kidney Diseases. [PDF]

Int J Mol Sci
Gaudio C, D'Arpino E, Stefani S, Fani FM, Rosso G, Di Marcantonio E, Becherelli P, Caselli G, Merciai C, Fortunato L, Scopetani N, Rosati A.   +11 more
europepmc   +1 more source

Literature‐informed ensemble machine learning for three‐year diabetic kidney disease risk prediction in type 2 diabetes: Development, validation, and deployment of the PSMMC NephraRisk model

Diabetes, Obesity and Metabolism, EarlyView.
Abstract Introduction Diabetic kidney disease (DKD) and diabetic nephropathy (DN) affect around 40% of diabetic patients but lack accurate risk prediction tools that include social determinants and demographic complexity. We developed and validated an ensemble machine learning model for three‐year DKD/DN risk prediction with deployment readiness ...
Ayla M. Tourkmani, Turki J. Al‐Harbi, Ahmad Abdullah Alghamdi, Ibrahim M. Youzghadli, Faris Saad Alosaimi, Ahmed Y. Azzam   +5 more
wiley   +1 more source

Artificial intelligence-based diagnosis of diabetic kidney disease using urinary VOC biosensor data. [PDF]

BMC Nephrol
Kreepala C, Anakkamatee W, Pechbooranin A.   +2 more
europepmc   +1 more source

Long‐acting insulin analogues and the risk of diabetic nephropathy among patients with type 2 diabetes: A population‐based cohort study

Diabetes, Obesity and Metabolism, EarlyView.
Abstract Aims The risk of diabetic nephropathy among patients with type 2 diabetes (T2D) can be reduced through optimal glycaemic control. It is not known if the pharmacological properties of long‐acting insulin analogues may reduce the risk of diabetic complications compared with neutral protamine Hagedorn (NPH) insulin.
Julia Brillinger, Christopher Filliter, Shahrzad Salmasi, Estefania Zapata‐Bravo, Robert W. Platt, Oriana H. Y. Yu, Kristian B. Filion   +6 more
wiley   +1 more source

Special Issue "Cell Biology in Diabetes and Diabetic Complications". [PDF]

Int J Mol Sci
Conserva F, Pontrelli P.
europepmc   +1 more source

Sex differences in trial representation and the cardiovascular effectiveness of newer glucose‐lowering agents in patients with and without type 2 diabetes: A systematic review and meta‐analysis of cardiovascular outcome trials

Diabetes, Obesity and Metabolism, EarlyView.
Abstract Aims The extent to which the cardiovascular benefits of sodium–glucose co‐transporter 2 inhibitors (SGLT‐2is) and glucagon‐like peptide 1 receptor agonists (GLP‐1RAs) differ by sex remains unclear. This systematic meta‐analysis aimed to investigate sex differences in trial representation and the cardiovascular and kidney efficacy of SGLT‐2is ...
Magdaline Zawadka, Erwin Taguiam, Mê‐Linh Lê, Rohan Sanjanwala, Shuangbo Liu, Ashish H. Shah, Setor K. Kunutsor   +6 more
wiley   +1 more source

Association between red cell distribution width and its ratio with albumin and diabetic nephropathy/retinopathy: A systematic review and meta-analysis. [PDF]

Pak J Med Sci
Ma L, Yan C, Lu S, Xing Y.
europepmc   +1 more source

Precision nutrition in weight loss and neuroendocrine control of people with obesity: The study protocol of a factorial randomised controlled trial (GenON Programme)

Diabetes, Obesity and Metabolism, EarlyView.
Abstract Aims Precision nutrition, guided by genetic testing, has emerged as a promising approach for managing obesity. However, robust clinical trials testing its effectiveness in real‐world dietary interventions remain scarce. The GenOn Programme aims to evaluate whether tailoring nutritional care based on genetic risk for obesity enhances weight ...
Karla P. Balbino, Ana Claudia P. Kravchychyn, Flávia G. Cândido, Mariana de Moura e Dias, Tiago Antônio de O. Mendes, Leandro Licursi de Oliveira, Luiza Carla V. Castro, Josefina Bressan, Ana Laura de la Garza, Fermín I. Milagro, María A. Zulet, Helen Hermana M. Hermsdorff   +11 more
wiley   +1 more source