Interpreting blood GLUcose data with R package iglu.
Journal
PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081
Informations de publication
Date de publication:
2021
2021
Historique:
received:
28
09
2020
accepted:
01
03
2021
entrez:
1
4
2021
pubmed:
2
4
2021
medline:
1
10
2021
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 33793578
doi: 10.1371/journal.pone.0248560
pii: PONE-D-20-30578
pmc: PMC8016265
doi:
Substances chimiques
Blood Glucose
0
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
e0248560Subventions
Organisme : NHLBI NIH HHS
ID : R01 HL146709
Pays : United States
Déclaration de conflit d'intérêts
The authors have declared that no competing interests exist.
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