Improving the Bias of Comparator Methods in Analytical Performance Assessments Through Recalibration
Authors' conclusion
Recalibration did lead to a decrease in bias and thus can reduce the impact of the choice of comparator method. The procedure should be verified in a prospectively designed setting.
Study context
- Population
- Existing data from performance studies of continuous and blood glucose monitoring systems
- Exposure
- Bias between devices before vs after recalibration
- Outcome
- Bias between devices before and after recalibration
Methodological detailsretrospective analysis of existing performance-study data
- Retrospective analysis of existing performance-study data
Main finding
As reported in the abstract
Higher-order method recalibration, data set 1: bias before → after
−3.6% to +0.6%
Higher-order method recalibration, data set 2: bias before → after
+11.0% to +0.3%
Higher-order materials (SRM) recalibration, data set 1: bias before → after
−3.1% to −0.1%
Higher-order materials (SRM) recalibration, data set 2: bias before → after
−4.3% to −2.7%
Observational data: associations, not effects.
Original publication
Improving the Bias of Comparator Methods in Analytical Performance Assessments Through Recalibration. J Diabetes Sci Technol. Published 22 October 2022. doi:10.
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