Biochip with Graphene-based Nanosensor for Non-invasive Glucose Sensing [PDF]
Diabetes has become a serious global health threat and glucose test is very important for diabetic patients on a daily basis. Traditional blood glucose test uses a lancet device to prick the patient’s finger to get a drop of blood sample for testing ...
Hu, Junling +3 more
core +1 more source
Glycemic control represents an integral part of diabetes mellitus (DM) therapy. It is not surprising that diabetes technology is evolving to not only create new routes of insulin administration, but also to improve the measurement of glycemia.
G. E. Runova
doaj +1 more source
Self-glucose monitoring and glycaemic control at a tertiary care university hospital, Karachi, Pakistan [PDF]
OBJECTIVE: To explore the association between Self Monitoring of Blood Glucose (SMBG) levels and improved glycemic control (HbA1c level) among type 2 diabetic patients, receiving oral hypoglycaemic agents and insulin, and to ascertain the factors ...
Khowaja, Khurshid, Waheed, Humaira
core +1 more source
Self-monitoring of diabetes mellitus: why Contour TC?
Self-monitoring of blood glucose remains the cornerstone in the treatment of diabetes. The primary aim of diabetes treatment is target level of glycemia, which can not be achieved without effective self-moniroting with a glucose meter.
L. Y. Morgunov
doaj +1 more source
Glucose self-monitoring: Think twice for type 2 patients [PDF]
Stop routinely recommending blood glucose self-monitoring for patients with newly diagnosed type 2 diabetes. Self-monitoring does not improve glycemic control for patients who are not taking insulin, and it increases the risk of depression.
Ewigman, Bernard +2 more
core
Influencing Factors of Blood Glucose Monitoring in Middle-aged and Elderly Patients with Type-2 Diabetes Mellitus in Rural Areas [PDF]
Background The risk of diabetes mellitus can increase with age, and the prevalence of prediabetes and diabetes mellitus in the middle-aged and elderly adults is 40% and 10%, respectively.
DAI Zhenwei, ZHANG Ling, ZHANG Haoran, XIAO Weijun, WANG Hao, HUANG Yiman, JING Shu, CHEN Xu, FU Jiaqi, WU Yijin, GAO Lei, SU Xiaoyou
doaj +1 more source
Artificial neural network algorithm for online glucose prediction from continuous glucose monitoring. [PDF]
Background and Aims: Continuous glucose monitoring (CGM) devices could be useful for real-time management of diabetes therapy. In particular, CGM information could be used in real time to predict future glucose levels in order to prevent hypo ...
A. de Leiva +11 more
core +2 more sources
Financial, Occupational and Physical Challenges and Blood Glucose Monitoring in Type 2 Diabetes
Background Blood glucose monitoring effects are changing for people living with type 2 diabetes. However, there is a lack of recent data surrounding financial, occupational, or physical stressors that affect the adherence of diabetes self-management ...
Jacob Marvin, Nicolette Powe
doaj +1 more source
Evaluation of the Capillary Blood Glucose Self-monitoring Program
OBJECTIVE: to evaluate the structure, process and results of the Capillary Blood Glucose Self-monitoring Program in a Brazilian city.METHOD: epidemiological, cross-sectional study.
Mariana Cristina Augusto +4 more
doaj +1 more source
Biochip with Cu-Graphene Glassy Carbon Electrode for Glucose Sensing [PDF]
Diabetes has become a serious global health threat and glucose test is very important for diabetic patients on a daily basis. Traditional blood glucose test uses a lancet device to prick the patient’s finger to get a drop of blood sample for testing ...
Hu, Junling +3 more
core

