ArticleJournal of diabetes science and technology2015
How Should Blood Glucose Meter System Analytical Performance Be Assessed?
Article in Journal of diabetes science and technology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed, 22 citations in OpenAlex.
- Reliability of continuous glucose monitoring system in the inpatient setting.Journal of clinical & translational endocrinology · 2021Article
- Improving the Accuracy of Pdot-Based Continuous Glucose Monitoring by Using External Ratiometric Calibration.Analytical chemistry · 2021Article
- Metrology part 2: Procedures for the validation of major measurement quality criteria and measuring instrument properties.Journal of clinical monitoring and computing · 2021Review
- Evaluation of the Abbot FreeStyle Optium Neo H blood glucose meter in the hyperbaric oxygen environment.Diving and hyperbaric medicine · 2020Article
- Analysis of "Capillary and Venous Blood Glucose Accuracy in Blood Glucose Meters Versus Reference Standards: The Impact of Study Design on Accuracy Evaluations".Journal of diabetes science and technology · 2019Article
- User Performance Evaluation of Four Blood Glucose Monitoring Systems Applying ISO 15197:2013 Accuracy Criteria and Calculation of Insulin Dosing Errors.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2018Article
- Using Radar Plots to Demonstrate the Accuracy and Precision of 6 Blood Glucose Monitoring Systems.Journal of diabetes science and technology · 2017Article
- Accuracy Evaluation of 19 Blood Glucose Monitoring Systems Manufactured in the Asia-Pacific Region: A Multicenter Study.Journal of diabetes science and technology · 2017Article
- Bedside Glucose Monitoring-Is it Safe? A New, Regulatory-Compliant Risk Assessment Evaluation Protocol in Critically Ill Patient Care Settings.Critical care medicine · 2017Observational
- The Quantitative Relationship Between ISO 15197 Accuracy Criteria and Mean Absolute Relative Difference (MARD) in the Evaluation of Analytical Performance of Self-Monitoring of Blood Glucose (SMBG) Systems.Journal of diabetes science and technology · 2016Article
- Performance of a Blood Glucose Monitoring System in a Point-of-Care Setting.Journal of diabetes science and technology · 2016Article
- Accuracy of Glucose Meter among Adults in a Semi-urban Area in Kathmandu, Nepal.JNMA; journal of the Nepal Medical AssociationArticle
Corrections and comments
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Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Blood glucose meter system analytical performance is assessed by comparing pairs of meter system and reference instrument blood glucose measurements measured over time and across a broad array of glucose values. Consequently, no single, complete, and ideal parameter can fully describe the difference between meter system and reference results. Instead, a number of assessment tools, both graphical (eg, regression plots, modified Bland-Altman plots, and error grid analysis) and tabular (eg, International Organization for Standardization guidelines, mean absolute difference, and mean absolute relative difference) have been developed to evaluate meter system performance. The strengths and weaknesses of these methods of presenting meter system performance data, including a new method known as Radar Plots, are described here.
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Registered trials
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 OpenQuestion graph.