2011
DOI: 10.1177/193229681100500425
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Accuracy of the CONTOUR® Blood Glucose Monitoring System

Abstract: The CONTOUR BGMS exceeded both the minimum acceptable accuracy based on ISO 15197:2003 and the more stringent accuracy criteria.

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Cited by 20 publications
(15 citation statements)
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“…[29][30][31][32][33] Most of the published system accuracy evaluation studies either do not evaluate samples with BG concentration <80 and ≥300 mg/dl (or not sufficient numbers) or use venous blood. [34][35][36][37][38][39] Main reasons for doing so are most likely the difficulty of designing a controlled human study or an adequate procedure to obtain capillary blood samples in hypoglycemic and hyperglycemic ranges.…”
Section: Discussionmentioning
confidence: 99%
“…[29][30][31][32][33] Most of the published system accuracy evaluation studies either do not evaluate samples with BG concentration <80 and ≥300 mg/dl (or not sufficient numbers) or use venous blood. [34][35][36][37][38][39] Main reasons for doing so are most likely the difficulty of designing a controlled human study or an adequate procedure to obtain capillary blood samples in hypoglycemic and hyperglycemic ranges.…”
Section: Discussionmentioning
confidence: 99%
“…Blood was separated in Nasodium heparin tubes (Corway kit). Glucose concentration was determined using an automatic glucose-meter Contour TS (Harrison et al, 2011). The concentration of haemoglobin was measured by the direct cyanmethemoglobin method (Gammon & Baker, 1977) with the addition of transforming reagent 'Diagem-T' (Renam kit) to 20 mcL of the whole blood.…”
Section: Analysis Of Biochemical Characteristicsmentioning
confidence: 99%
“…[10][11][12][13][14] Within the boundaries of this standard, meters can have very different performance profiles and error patterns.…”
Section: Discussionmentioning
confidence: 99%
“…Selection of this study as the meter-and-reference-BG paired points source was done as an example of the range of real-life error distribution in present-day BG meters. It is understood that results on a particular meter from different studies [10][11][12][13][14] may result in different performance outcomes. The comparative results in our analysis are meant to evaluate potential implications of accuracy differences using an empirical meter error distribution in lieu of an assumed error distribution (e.g.…”
Section: Blood Glucose Monitoring System Accuracy Studymentioning
confidence: 99%