scholarly journals Using GH-Method: Math-Physical Medicine to Investigate Different Contribution Margins of Fasting Plasma Glucose vs. Postprandial Plasma Glucose on HbA1C

2020 ◽  
Vol 3 (3) ◽  
Keyword(s):  
Type 2 Diabetes ◽  
Medical Research ◽  
Plasma Glucose ◽  
Fasting Plasma Glucose ◽  
Physical Medicine ◽  
Postprandial Plasma Glucose ◽  
Fasting Plasma ◽  
Metabolic Conditions

This paper displays results of the contribution margin calculation of fasting plasma glucose (FPG) vs. postprandial plasma glucose (PPG) on HbA1C. The dataset is provided by the author, who uses his own type 2 diabetes metabolic conditions control, as a case study via the “math-physical medicine” approach of a nontraditional methodology in medical research.

scholarly journals Type 2 Diabetes Nursing Guidelines based on Wave and Energy Theories Associated with Three Distinctive Postprandial Plasma Glucose Waveforms (GH-Method: Math-Physical Medicine)

2020 ◽  
Vol 5 (2) ◽  
Keyword(s):  
Type 2 Diabetes ◽  
Medical Research ◽  
Plasma Glucose ◽  
Physical Medicine ◽  
Postprandial Plasma Glucose ◽  
Metabolic Conditions ◽  
Nursing Guidelines ◽  
Diabetes Nursing

This paper summarizes tips and guidelines of optimized combination of food and exercise for type 2 diabetes (T2D) patients to control their glucoses. The dataset is provided by the author, who uses his own type 2 diabetes metabolic conditions control, as a case study via the “math-physical medicine” approach of a non-traditional methodology in medical research.

scholarly journals Using GH-Method: Math-Physical Medicine to Conduct Segmentation Analysis to Investigate the Impact of Weather Temperatures on Glucose (Both FPG And PPG)

2020 ◽  
Vol 5 (3) ◽  
Keyword(s):  
Type 2 Diabetes ◽  
Big Data ◽  
Plasma Glucose ◽  
Physical Medicine ◽  
Postprandial Plasma Glucose ◽  
Segmentation Analysis ◽  
Metabolic Conditions ◽  
The Impact

This paper is based on big data collected from a period of 1,420daysfrom 6/1/2015 to 4/21/2019 with a total of 4,260 data, including highest ambient temperature (weather) of each day in degree Fahrenheit (°F), fasting plasma glucose (FPG) and postprandial plasma glucose (PPG) in mg/dL. The dataset is provided by the author, who uses his own type 2 diabetes metabolic conditions control, as a case study via the “math-physical medicine” approach of a non-traditional methodology in medical research.

Guesstimate Probable Partial Self-Recovery of Pancreatic Beta Cells Using Calculations of Annualized Glucose Data Using GH-Method: Math-Physical Medicine

2020 ◽  
pp. 1-4
Author(s):  
Gerald C. Hsu
Keyword(s):  
Type 2 Diabetes ◽  
Beta Cells ◽  
Plasma Glucose ◽  
Fasting Plasma Glucose ◽  
Pancreatic Beta Cells ◽  
Physical Medicine ◽  
Postprandial Plasma Glucose ◽  
Fasting Plasma ◽  
Regeneration Capability

In this paper, the author describes his hypothesis on the probable partial self-recovery of some insulin regeneration capability of pancreatic beta cells on a Type 2 Diabetes (T2D) patient via his collected data of both Postprandial Plasma Glucose (PPG) and Fasting Plasma Glucose (FPG) during the period of 1/1/2014 to 11/23/2019.

scholarly journals Using GH-Method: Math-Physical Medicine to Conduct the Accuracy Comparison of Two different Postprandial Plasma Glucosa Prediction Methods

2020 ◽  
Vol 3 (2) ◽  
Keyword(s):  
Type 2 Diabetes ◽  
Plasma Glucose ◽  
Test Strip ◽  
Prediction Methods ◽  
Physical Medicine ◽  
Postprandial Plasma Glucose ◽  
Accuracy Comparison ◽  
Metabolic Conditions

This paper describes the accuracy of two different methods of postprandial plasma glucose (PPG) prediction in comparison with the actual measured PPG by using the finger-piercing and test-strip (Finger) method. The dataset is provided by the author, who uses his own type 2 diabetes metabolic conditions control, as a case study via the “math-physical medicine” approach of a non-traditional methodology in medical research.

scholarly journals Using GH-Method: Math-Physical Medicine to Investigate the Impact of Different Intensity of Exercise on Postprandial Plasma Glucose (No. 65)

2020 ◽  
Vol 5 (3) ◽  
Keyword(s):  
Type 2 Diabetes ◽  
Plasma Glucose ◽  
Physical Medicine ◽  
Data Set ◽  
Postprandial Plasma Glucose ◽  
Metabolic Conditions ◽  
Intensity Of Exercise ◽  
The Impact

Introduction The data-set is provided by the author, who uses his own type 2 diabetes (T2D) metabolic conditions control, as a case study via the “math-physical medicine” approach of a non-traditional methodology in medical research.

scholarly journals Probable Partial Self-Recovery of Pancreatic Beta Cells Using Various Glucose Data (GH-Method: Math-Physical Medicine)

2020 ◽  
Vol 4 (2) ◽  
Keyword(s):  
Type 2 Diabetes ◽  
Beta Cells ◽  
Plasma Glucose ◽  
Fasting Plasma Glucose ◽  
Pancreatic Beta Cells ◽  
Regeneration Capacity ◽  
Physical Medicine ◽  
Postprandial Plasma Glucose ◽  
Fasting Plasma

In this paper, the author describes his hypothesis on the probable self-recovery of partial insulin regeneration capacity of pancreatic beta cells of a type 2 diabetes (T2D) patient via his collected data of both postprandial plasma glucose (Finger PPG and Sensor extended baseline PPG) and fasting plasma glucose (Finger FPG) during the period of 1/1/2014 to 4/5/2020.

scholarly journals Probable Partial Self-Recovery of Pancreatic Beta Cells Using Various Glucose Data (GH-Method: Math-Physical Medicine)

2020 ◽  
Vol 4 (2) ◽  
Keyword(s):  
Type 2 Diabetes ◽  
Beta Cells ◽  
Plasma Glucose ◽  
Fasting Plasma Glucose ◽  
Pancreatic Beta Cells ◽  
Regeneration Capacity ◽  
Physical Medicine ◽  
Postprandial Plasma Glucose ◽  
Fasting Plasma

In this paper, the author describes his hypothesis on the probable self-recovery of partial insulin regeneration capacity of pancreatic beta cells of a type 2 diabetes (T2D) patient via his collected data of both postprandial plasma glucose (Finger PPG and Sensor extended baseline PPG) and fasting plasma glucose (Finger FPG) during the period of 1/1/2014 to 4/5/2020.

scholarly journals Randomized, Double-Blinded, Double-Dummy, Active-Controlled, and Multiple-Dose Clinical Study Comparing the Efficacy and Safety of Mulberry Twig (Ramulus Mori, Sangzhi) Alkaloid Tablet and Acarbose in Individuals with Type 2 Diabetes Mellitus

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Mengyi Li ◽  
Xuemin Huang ◽  
Hui Ye ◽  
Yao Chen ◽  
Jing Yu ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Clinical Trial ◽  
Plasma Glucose ◽  
Fasting Plasma Glucose ◽  
Efficacy And Safety ◽  
Postprandial Plasma Glucose ◽  
Glucose Levels ◽  
Fasting Plasma ◽  
Significant Difference

Aims. To evaluate the efficacy and safety of mulberry twig alkaloid (SZ-A) tablet compared with acarbose in patients with type 2 diabetes.Methods. This clinical trial enrolled 38 patients who were randomized into two groups (SZ-A: 23; acarbose: 15) and were treated for 24 weeks. Patients and clinical trial staffs were masked to treatment assignment throughout the study. The primary outcome measures were glycated hemoglobin (HbA1c) and 1-hour and 2-hour postprandial and fasting plasma glucose levels from baseline to the end of treatment. Analysis included all patients who completed this study.Results. By the end of this study, HbA1c level in SZ-A group was decreased from baseline significantly (P<0.001). No significant difference was found when compared with acarbose group (P=0.652). Similarly, 1-hour and 2-hour postprandial plasma glucose levels in SZ-A group were decreased from baseline statistically (P<0.05), without any significant differences compared with acarbose group (P=0.748and 0.558, resp.). The fasting plasma glucose levels were not significantly changed in both groups. One of 23 patients in SZ-A group (4.76%) and 5 of 15 patients in acarbose group (33.33%) suffered from gastrointestinal adverse events.Conclusions. Compared with acarbose, SZ-A tablet was effective and safe in glycemic control in patients with type 2 diabetes.

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