Evidence mapPaperPMID 23759396Full record

ArticleJournal of diabetes science and technology2013

Methodology for quantifying fasting glucose homeostasis in type 2 diabetes: observed variability and lability.

Nathan R Hill, Apostolos Tsapas, Peter Hindmarsh, David R Matthews

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Article in Journal of diabetes science and technology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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3 · Its place in the literature

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3 citing papers in PubMed.

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5 · Who and what money

Authors and funding

4 authors.

Nathan R HillDepartment of Primary Care Health Sciences, University of Oxford, Radcliffe Observatory Quarter, Woodstock Road, Oxford , United Kingdom. Nathan.Hill@phc.ox.ac.uk
Apostolos Tsapas
Peter Hindmarsh
David R Matthews

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIncreased glycemic variability is associated with an increase risk of adverse clinical outcomes in diabetes. Central to the understanding of diabetes is glucose homeostasis. "Good" homeostasis is equated to low glycemic variability, and "poor" homeostasis is linked to greater glycemic variability. We have, therefore, developed a method with the aim to objectively quantify the domain of glucose-insulin homeostasis. We have termed this method as Observed Variability And Lability (OVAL).

methodBlood samples for the measurement of glucose and insulin concentrations were acquired every 2 min for 120 min from 12 patients with type 2 diabetes mellitus [T2DM; median (range) age 35 (25-47) years and duration of diabetes 7 (2-9) years receiving oral hypoglycemic treatment] and 27 controls [aged 38(30-53) years] with an equal split of genders and equal distribution of body mass indexes. The insulin-glucose time variant data form the boundaries of OVAL, defined as the ellipse enclosing the 95% confidence intervals of the insulin and glucose concentrations plotted on an x-y scatter graph and normalized to ensure equal weighting of insulin and glucose.

resultsLess precise OVAL homeostasis was observed in subjects with T2DM, by a factor of 4, in comparison with controls [OVAL, T2DM 7.8(3.8) versus controls 1.9(1.0); p = .0003]. The assessment remained statistically robust (p < .001) with increased sampling intervals up to 8 min.

conclusionThe OVAL model is a robust method for measuring glucose-insulin homeostasis in controls and T2DM subjects (available online at http://www.oval-calc.co.uk). Deranged glucose-insulin homeostasis is the hallmark of diabetes and OVAL has the capacity to quantify in the fasting state.

Indexed as

Models, StatisticalAdultBlood GlucoseDiabetes Mellitus, Type 2FastingFemaleHomeostasisHumansInsulinMaleMiddle AgedBlood GlucoseInsulin

Identifiers

PMID23759396
PMCPMC3869131

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.