The Need for Standardization of Continuous Glucose Monitoring Performance Evaluation: An Opinion by the International Federation of Clinical Chemistry and Laboratory Medicine Working Group on Continuous Glucose Monitoring.

IF 4.1 Q2 ENDOCRINOLOGY & METABOLISM

Journal of Diabetes Science and Technology Pub Date : 2024-11-14 DOI:10.1177/19322968241296097

Stefan Pleus, Manuel Eichenlaub, Elisabet Eriksson Boija, Marion Fokkert, Rolf Hinzmann, Johan Jendle, David C Klonoff, Konstantinos Makris, James H Nichols, John Pemberton, Elizabeth Selvin, Robbert J Slingerland, Andreas Thomas, Nam K Tran, Lilian Witthauer, Guido Freckmann

{"title":"The Need for Standardization of Continuous Glucose Monitoring Performance Evaluation: An Opinion by the International Federation of Clinical Chemistry and Laboratory Medicine Working Group on Continuous Glucose Monitoring.","authors":"Stefan Pleus, Manuel Eichenlaub, Elisabet Eriksson Boija, Marion Fokkert, Rolf Hinzmann, Johan Jendle, David C Klonoff, Konstantinos Makris, James H Nichols, John Pemberton, Elizabeth Selvin, Robbert J Slingerland, Andreas Thomas, Nam K Tran, Lilian Witthauer, Guido Freckmann","doi":"10.1177/19322968241296097","DOIUrl":null,"url":null,"abstract":"<p><p>Metrics derived from continuous glucose monitoring (CGM) systems are often discordant between systems. A major cause is that CGM systems are not standardized; they use various algorithms and calibration methods, leading to discordant CGM readings across systems. This discordance can be addressed by standardizing CGM performance assessments: If manufacturers aim their CGM systems at the same target, then CGM readings will align across systems. This standardization should include the comparator device, sample origin, and study procedures. With better aligned CGM readings, CGM-derived metrics will subsequently also align better between systems.</p>","PeriodicalId":15475,"journal":{"name":"Journal of Diabetes Science and Technology","volume":" ","pages":"19322968241296097"},"PeriodicalIF":4.1000,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11571573/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Diabetes Science and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/19322968241296097","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}

引用次数: 0

Abstract

Metrics derived from continuous glucose monitoring (CGM) systems are often discordant between systems. A major cause is that CGM systems are not standardized; they use various algorithms and calibration methods, leading to discordant CGM readings across systems. This discordance can be addressed by standardizing CGM performance assessments: If manufacturers aim their CGM systems at the same target, then CGM readings will align across systems. This standardization should include the comparator device, sample origin, and study procedures. With better aligned CGM readings, CGM-derived metrics will subsequently also align better between systems.

查看原文本刊更多论文

连续血糖监测性能评估标准化的必要性：国际临床化学和实验室医学联合会连续血糖监测工作组的意见。

由连续血糖监测（CGM）系统得出的指标在不同系统之间往往不一致。一个主要原因是 CGM 系统没有标准化；它们使用不同的算法和校准方法，导致不同系统的 CGM 读数不一致。这种不一致可以通过标准化 CGM 性能评估来解决：如果制造商将 CGM 系统瞄准同一目标，那么不同系统的 CGM 读数就会一致。这种标准化应包括比较设备、样本来源和研究程序。如果 CGM 读数更加一致，CGM 得出的指标也会随之在不同系统间更加一致。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Journal of Diabetes Science and Technology Medicine-Internal Medicine

CiteScore

7.50

自引率

12.00%

发文量

148

期刊介绍： The Journal of Diabetes Science and Technology (JDST) is a bi-monthly, peer-reviewed scientific journal published by the Diabetes Technology Society. JDST covers scientific and clinical aspects of diabetes technology including glucose monitoring, insulin and metabolic peptide delivery, the artificial pancreas, digital health, precision medicine, social media, cybersecurity, software for modeling, physiologic monitoring, technology for managing obesity, and diagnostic tests of glycation. The journal also covers the development and use of mobile applications and wireless communication, as well as bioengineered tools such as MEMS, new biomaterials, and nanotechnology to develop new sensors. Articles in JDST cover both basic research and clinical applications of technologies being developed to help people with diabetes.