ogttMetrics: Data structures and algorithms for oral glucose tolerance tests
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چکیده
منابع مشابه
ogttMetrics: Data structures and algorithms for oral glucose
We describe an open source software package, , to compute ogttMetrics diverse measures of glucose metabolism derived from oral glucose tolerance tests (OGTTs). Tools are provided to organize, visualize and compare OGTT data from large cohorts. Numerical difficulties in estimation of parameters of the Bergman minimal model are described, and in one large clinical trial, the simpler closed form i...
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We present a minimal model for analyzing Oral Glucose Tolerance Test (OGTT) data base on system of 5 ODEs. The model has 4 unknown parameters which are inferred using a Bayesian approach. Preliminarily results are shown with three real patient data.
متن کاملGlucose tolerance tests.
DEFINITIONS Patient (Pt) testing options for glucose testing are shown below. Protocols and interpretations for individual glucose tolerance tests follow along with information on pediatric dosing. All samples are heparinized plasma unless otherwise stated. Provider specifies what patient may eat and when collection is to occur after eating, prior to this draw. No reference range is provided. G...
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Teucrium polium can reduce serum glucose. There are few reports in the literature related to this subject and the resolution of this mechanism requires further experiments. The aim of the present study was to evaluate the effects of Teucrium polium aerial parts extracts on oral glucose tolerance tests and pancreas histology in streptozocin-induced diabetic rats. In order to prepare the aqueous ...
متن کاملOral glucose tolerance testing.
The oral glucose tolerance test (OGTT) is currently the gold standard for the diagnosis of diabetes. The recommended preparation for and administration of the OGTT are important to ensure that test results are not affected. Interpretation is based on venous plasma glucose results before and 2 hours after a 75 g oral glucose load.
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ژورنال
عنوان ژورنال: F1000Research
سال: 2017
ISSN: 2046-1402
DOI: 10.12688/f1000research.11317.1