Cargando…
Interpreting blood GLUcose data with R package iglu
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 variabil...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8016265/ https://www.ncbi.nlm.nih.gov/pubmed/33793578 http://dx.doi.org/10.1371/journal.pone.0248560 |
_version_ | 1783673823196872704 |
---|---|
author | Broll, Steven Urbanek, Jacek Buchanan, David Chun, Elizabeth Muschelli, John Punjabi, Naresh M. Gaynanova, Irina |
author_facet | Broll, Steven Urbanek, Jacek Buchanan, David Chun, Elizabeth Muschelli, John Punjabi, Naresh M. Gaynanova, Irina |
author_sort | Broll, Steven |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8016265 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-80162652021-04-08 Interpreting blood GLUcose data with R package iglu Broll, Steven Urbanek, Jacek Buchanan, David Chun, Elizabeth Muschelli, John Punjabi, Naresh M. Gaynanova, Irina PLoS One Research Article 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. Public Library of Science 2021-04-01 /pmc/articles/PMC8016265/ /pubmed/33793578 http://dx.doi.org/10.1371/journal.pone.0248560 Text en © 2021 Broll et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Broll, Steven Urbanek, Jacek Buchanan, David Chun, Elizabeth Muschelli, John Punjabi, Naresh M. Gaynanova, Irina Interpreting blood GLUcose data with R package iglu |
title | Interpreting blood GLUcose data with R package iglu |
title_full | Interpreting blood GLUcose data with R package iglu |
title_fullStr | Interpreting blood GLUcose data with R package iglu |
title_full_unstemmed | Interpreting blood GLUcose data with R package iglu |
title_short | Interpreting blood GLUcose data with R package iglu |
title_sort | interpreting blood glucose data with r package iglu |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8016265/ https://www.ncbi.nlm.nih.gov/pubmed/33793578 http://dx.doi.org/10.1371/journal.pone.0248560 |
work_keys_str_mv | AT brollsteven interpretingbloodglucosedatawithrpackageiglu AT urbanekjacek interpretingbloodglucosedatawithrpackageiglu AT buchanandavid interpretingbloodglucosedatawithrpackageiglu AT chunelizabeth interpretingbloodglucosedatawithrpackageiglu AT muschellijohn interpretingbloodglucosedatawithrpackageiglu AT punjabinareshm interpretingbloodglucosedatawithrpackageiglu AT gaynanovairina interpretingbloodglucosedatawithrpackageiglu |