Publications by authors named "O Segev"
Curalin supplement as add-on therapy for type 2 diabetes Mellitus.
Diabetes Res Clin Pract
December 2024
Aims: To examine the efficacy and safety of Curalin, as a supplement to anti-diabetic drugs (ADD).
Methods: 135 patients were enrolled in the study. Among them, 109, ages 18-85 years, with HA1c 7.
Article Synopsis
- * This review analyzes how T2D contributes to damage in target organs and outlines the underlying mechanisms involving chronic inflammation and oxidative stress that lead to insulin resistance and various complications.
- * It emphasizes the importance of lifestyle changes, like diet and exercise, and mentions potential treatments, including antioxidants, anti-inflammatory agents, and certain anti-diabetic medications, while calling for more research to assess their effectiveness.
Article Synopsis
- Clinical toxicology lacks certification in Israel, resulting in a shortage of toxicologists and toxicology services for patient consultation.* -
- A new medical toxicology consultation service was established, with a focus on bedside consultations, and conducted a retrospective chart review from September 2017 to December 2021, which included 1703 consultations.* -
- The service demonstrated a significant impact on clinical practice, with a 62% rate of bedside consultations, highlighting its potential to alleviate pressure on national poison centers and enhance personalized care for toxicological patients.*
Background: High fevers, especially in young children, often alarm clinicians and prompt extensive evaluation based on perceptions of increased risk of serious bacterial infection (SBI), and even brain damage or seizure disorders.
Objective: The aim of this study was to determine the prevalence of SBI in infants aged 3-36 months with fever ≥40.5°C in a population of infants offered universal pneumococcal conjugate vaccine 13 and Haemophilus influenzae B immunization.
Aims: To describe the development and report the first-stage validation of a digital version of the digit symbol substitution test (DSST), for assessment of cognitive function in older people with diabetes.
Materials And Methods: A multidisciplinary team of experts was convened to conceptualize and build a digital version of the DSST and develop a machine-learning (ML) algorithm to analyse the inputs. One hundred individuals with type 2 diabetes (aged ≥ 60 years) were invited to participate in a one-time meeting in which both the digital and the pencil-and-paper (P&P) versions of the DSST were administered.