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cgmanalysis: An R package for descriptive analysis of continuous glucose monitor data

Continuous glucose monitoring (CGM) is an essential part of diabetes care. Real-time CGM data are beneficial to patients for daily glucose management, and aggregate summary statistics of CGM measures are valuable to direct insulin dosing and as a tool for researchers in clinical trials. Yet, the var...

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Autores principales: Vigers, Tim, Chan, Christine L., Snell-Bergeon, Janet, Bjornstad, Petter, Zeitler, Philip S., Forlenza, Gregory, Pyle, Laura
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6788735/
https://www.ncbi.nlm.nih.gov/pubmed/31603912
http://dx.doi.org/10.1371/journal.pone.0216851
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author Vigers, Tim
Chan, Christine L.
Snell-Bergeon, Janet
Bjornstad, Petter
Zeitler, Philip S.
Forlenza, Gregory
Pyle, Laura
author_facet Vigers, Tim
Chan, Christine L.
Snell-Bergeon, Janet
Bjornstad, Petter
Zeitler, Philip S.
Forlenza, Gregory
Pyle, Laura
author_sort Vigers, Tim
collection PubMed
description Continuous glucose monitoring (CGM) is an essential part of diabetes care. Real-time CGM data are beneficial to patients for daily glucose management, and aggregate summary statistics of CGM measures are valuable to direct insulin dosing and as a tool for researchers in clinical trials. Yet, the various commercial systems still report CGM data in disparate, non-standard ways. Accordingly, there is a need for a standardized, free, open-source approach to CGM data management and analysis. A package titled cgmanalysis was developed in the free programming language R to provide a rapid, easy, and consistent methodology for CGM data management, summary measure calculation, and descriptive analysis. Variables calculated by our package compare well to those generated by various CGM software, and our functions provide a more comprehensive list of summary measures available to clinicians and researchers. Consistent handling of CGM data using our R package may facilitate collaboration between research groups and contribute to a better understanding of free-living glucose patterns.
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spelling pubmed-67887352019-10-25 cgmanalysis: An R package for descriptive analysis of continuous glucose monitor data Vigers, Tim Chan, Christine L. Snell-Bergeon, Janet Bjornstad, Petter Zeitler, Philip S. Forlenza, Gregory Pyle, Laura PLoS One Research Article Continuous glucose monitoring (CGM) is an essential part of diabetes care. Real-time CGM data are beneficial to patients for daily glucose management, and aggregate summary statistics of CGM measures are valuable to direct insulin dosing and as a tool for researchers in clinical trials. Yet, the various commercial systems still report CGM data in disparate, non-standard ways. Accordingly, there is a need for a standardized, free, open-source approach to CGM data management and analysis. A package titled cgmanalysis was developed in the free programming language R to provide a rapid, easy, and consistent methodology for CGM data management, summary measure calculation, and descriptive analysis. Variables calculated by our package compare well to those generated by various CGM software, and our functions provide a more comprehensive list of summary measures available to clinicians and researchers. Consistent handling of CGM data using our R package may facilitate collaboration between research groups and contribute to a better understanding of free-living glucose patterns. Public Library of Science 2019-10-11 /pmc/articles/PMC6788735/ /pubmed/31603912 http://dx.doi.org/10.1371/journal.pone.0216851 Text en © 2019 Vigers 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
Vigers, Tim
Chan, Christine L.
Snell-Bergeon, Janet
Bjornstad, Petter
Zeitler, Philip S.
Forlenza, Gregory
Pyle, Laura
cgmanalysis: An R package for descriptive analysis of continuous glucose monitor data
title cgmanalysis: An R package for descriptive analysis of continuous glucose monitor data
title_full cgmanalysis: An R package for descriptive analysis of continuous glucose monitor data
title_fullStr cgmanalysis: An R package for descriptive analysis of continuous glucose monitor data
title_full_unstemmed cgmanalysis: An R package for descriptive analysis of continuous glucose monitor data
title_short cgmanalysis: An R package for descriptive analysis of continuous glucose monitor data
title_sort cgmanalysis: an r package for descriptive analysis of continuous glucose monitor data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6788735/
https://www.ncbi.nlm.nih.gov/pubmed/31603912
http://dx.doi.org/10.1371/journal.pone.0216851
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