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Summarizing data from continuous glucose monitors using the cgmstats command
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DOI：10.1177/1536867x261450271.png)
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Abstract
En 中文
<jats:p>
In this article, we present the
<jats:monospace>cgmstats</jats:monospace>
command, which analyzes continuous glucose monitoring (CGM) data. The use of wearable CGMs is growing rapidly. The latest generation of CGM systems does not require fingerstick calibration, is minimally invasive, and is frequently used in research studies. CGM sensors are typically worn for up to 2 weeks and record interstitial glucose measurements every minute to every 15 minutes, depending on the sensor used. CGM systems generate hundreds of measurements per day and thousands of measurements in one person over a single wear. There is a need for tools that allow researchers to efficiently organize and summarize the wealth of data on glucose patterns produced by CGM systems. The
<jats:monospace>cgmstats</jats:monospace>
command generates CGM summary measures for data from various CGM systems and allows the user to flexibly define ranges and generate data visualizations. In this article, we provide an overview of the
<jats:monospace>cgmstats</jats:monospace>
command and examples of its use. The
<jats:monospace>cgmstats</jats:monospace>
command supports rigorous and reproducible analyses of CGM data.
</jats:p>
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