AKA-TPG: A Program for Kinetic and Epidemiological Analysis of Data from Labeled Glucose Investigations Using the Two-Pool Model and Database Technology
Author(s) -
Raymond C. Boston,
Darko Stefanovski,
Jan Erik Henriksen,
Glen Ward,
Peter J. Moate
Publication year - 2007
Publication title -
diabetes technology and therapeutics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.142
H-Index - 88
eISSN - 1557-8593
pISSN - 1520-9156
DOI - 10.1089/dia.2006.0044
Subject(s) - medicine , epidemiology , diabetes mellitus , aka , database , intensive care medicine , endocrinology , computer science , library science
The Two-Pool Glucose (TPG) model has an important role to play in diabetes research since it enables analysis of data obtained from the frequently sampled labeled (hot) glucose tolerance test (FSHGT). TPG modeling allows determination of the separate effects of insulin on the disposal of glucose and on the hepatic production of glucose. It therefore provides a basis for the accurate estimation of glucose effectiveness, insulin sensitivity, and the profile of the rate of endogenous glucose production. Until now, there has been no program available dedicated to the TPG model, and a number of technical reasons have deterred researchers from performing TPG analysis.
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