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Review
. 2025 Jul;19(4):1072-1081.
doi: 10.1177/19322968251336221. Epub 2025 May 6.

Recommendations on the Collection of Comparator Measurement Data in the Performance Evaluation of Continuous Glucose Monitoring Systems

Affiliations
Review

Recommendations on the Collection of Comparator Measurement Data in the Performance Evaluation of Continuous Glucose Monitoring Systems

Guido Freckmann et al. J Diabetes Sci Technol. 2025 Jul.

Abstract

While current systems for continuous glucose monitoring (CGM) are safe and effective, there is a high degree of variability between readings within and across CGM systems. In current CGM performance studies, device readings are compared with glucose concentrations obtained with a comparator ("reference") measurement procedure (usually capillary or venous glucose). However, glucose concentrations from capillary and venous samples can systematically differ, often by as much as 5 to 10%. Different comparator methods have shown biases of up to 8%, and comparator devices of the same brand can systematically differ by more than 5%. To address these issues, the Working Group on CGM of the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC WG-CGM) recommends standardizing study procedures and the comparator measurement process in CGM performance studies. The majority of IFCC WG-CGM members recommend the use of capillary samples as reference, mainly because CGM readings will then be aligned better with results from self-monitoring of blood glucose (SMBG). Even with factory-calibrated CGM systems, manufacturers require CGM users to perform SMBG in some situations, eg, manual calibration, confirmation of extreme readings, discordance between CGM readings and symptoms of hyper- or hypoglycemia, or intermittent signal loss. Comparator devices should meet defined analytical performance specifications for bias and imprecision. Comparator bias can be reduced by retrospective correction of comparator values based on measurements with a method or materials of higher metrological order. Once manufacturers align CGM readings of their systems with comparator results using standardized procedures, variability across CGM systems will be reduced.

Keywords: clinical performance evaluation; comparator data requirements; continuous glucose monitoring; standardization; traceability.

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Conflict of interest statement

Declaration of Conflicting InterestsThe author(s) declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: GF is general manager and medical director of the Institut für Diabetes-Technologie Forschungs- und Entwicklungsgesellschaft mbH an der Universität Ulm; Germany (IfDT), which carries out clinical studies on its own initiative and on behalf of various companies. GF/IfDT have received speakers’ honoraria or consulting fees in the last 3 years Abbott, Berlin Chemie, Boydsense, Dexcom, Glucoset, i-SENS, Lilly, Menarini, Novo Nordisk, Perfood, Pharmasens, Roche, Sinocare, Terumo, and Ypsomed.SP and ME are employees of IfDT.EEB has no disclosures.MF received lecture fees from Menarini.RH—Independent medical & scientific consultant, former employee of Roche Diabetes CareJJ has been a lecturer/member of the scientific advisory boards at the following companies: Abbott, AstraZeneca, Boehringer Ingelheim, Eli Lilly, Medtronic, Nordic InfuCare, NovoNordisk, and Sanofi.DCK is a consultant for Afon, Better Therapeutics, Integrity, Lifecare, Nevro, Novo, Samsung, and Thirdwayv.KM has nothing to disclose.JHN has received research support from Abbott.JP—Advisory panel for ROCHE Diabetes Care and Abbott. Speaker fees from Insulet and Dexcom.ES is supported by grants from the US National Institutes of Health (NIH) and has received donated materials related to NIH-supported research from Abbott Diabetes Care, Roche Diagnostics, Siemens Diagnostics, Ortho Clinical Diagnostics, Abbott Diagnostics, Asahi Kasei Pharma Corp, GlycoMark CorpNKT is a consultant for Roche Diagnostics and Roche Molecular Systems, received honoraria from Nova Biomedical and Thermo Fisher, and Chair (2024–2026), Critical and Point-of-Care Testing (CPOCT) Division, Association for Diagnostics and Laboratory Medicine (ADLM).LW has nothing to disclose.RJS is chair of the Clinical Chemistry Department of Isala which carries out clinical studies, eg, with medical devices for diabetes therapy on its own initiative and on behalf of various companies. RJS has received speaker’s honoraria or consulting fees in the last 3 years from Roche and Menarini.

Figures

Figure 1.
Figure 1.
Example of a traceability chain when estimating bias. Panel (a) Estimation based on methods of higher metrological order. If participant blood/plasma samples are used to verify the comparator method bias, potential commutability issues can be avoided. Panel (b) Estimation based on materials of higher metrological order (“suitable calibrator”). When using capillary comparator measurements, an additional step (indicated by dashed lines and boxes) by way of, eg, a laboratory analyzer (or other suitable analyzers) may be required if the comparator device is not labeled for use with the sample type of the higher-order materials. The “suitable calibrator” is any material with sufficiently well-characterized assigned target concentrations, eg, secondary certified reference materials as defined by ISO 17511. Light gray boxes and dotted lines indicate parts of the traceability chain that are outside of the purview of bias estimation in a CGM performance study. Device types in the columns “measurement procedure/device” are based on what is often used in CGM performance studies. Note that the step between the comparator and the CGM systems is missing because CGM systems measure glucose concentrations in interstitial fluid, where comparator or reference measurements are currently not feasible. Similar traceability chains can be established for other sample origins.

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