Interpreting blood GLUcose data with R package iglu. Academic Article

abstract

• Continuous Glucose Monitoring (CGM) data play an increasing role in clinical practice as they provide detailed quantification of blood glucose levels during the entire 24-hour period. The R package iglu implements a wide range of CGM-derived metrics for measuring glucose control and glucose variability. The package also allows one to visualize CGM data using time-series and lasagna plots. A distinct advantage of iglu is that it comes with a point-and-click graphical user interface (GUI) which makes the package widely accessible to users regardless of their programming experience. Thus, the open-source and easy to use iglu package will help advance CGM research and CGM data analyses. R package iglu is publicly available on CRAN and at https://github.com/irinagain/iglu.

authors

• Gaynanova, Irina

published proceedings

• PLoS One

altmetric score

• 7.9

author list (cited authors)

• Broll, S., Urbanek, J., Buchanan, D., Chun, E., Muschelli, J., Punjabi, N. M., & Gaynanova, I.

citation count

• 7

complete list of authors

• Broll, Steven||Urbanek, Jacek||Buchanan, David||Chun, Elizabeth||Muschelli, John||Punjabi, Naresh M||Gaynanova, Irina

editor list (cited editors)

• Pyle, L.

publication date

• April 2021

publisher

• Public Library of Science (PLoS)  Publisher

published in

• PLoS One  Journal

keywords

• Blood Glucose
• Blood Glucose Self-Monitoring
• Data Analysis
• Diabetes Mellitus
• Disease Management
• Humans
• Software

PubMed Central ID

• 33793578

Digital Object Identifier (DOI)

• 10.1371/journal.pone.0248560

start page

• e0248560

end page

• e0248560

volume

• 16

issue

• 4