Utilizing continuous glucose monitoring in primary care practice: What the numbers mean.


Journal

Primary care diabetes
ISSN: 1878-0210
Titre abrégé: Prim Care Diabetes
Pays: England
ID NLM: 101463825

Informations de publication

Date de publication:
04 2021
Historique:
received: 17 06 2020
revised: 26 10 2020
accepted: 31 10 2020
pubmed: 2 12 2020
medline: 16 10 2021
entrez: 1 12 2020
Statut: ppublish

Résumé

Use of continuous glucose monitoring (CGM) has been shown to improve glycemia control, reduce hypoglycemia, lower glycemic variability and enhance quality of life for individuals with type 1 diabetes and type 2 diabetes. However, many primary care physicians may be unfamiliar with the how CGM data can interpreted and acted upon. As adoption of this technology continues to grow, primary care physicians will be challenged to integrate CGM into their clinical practices. This article is intended to provide clinicians with practical guidance in interpreting and utilizing CGM data with their patients.

Identifiants

pubmed: 33257275
pii: S1751-9918(20)30311-9
doi: 10.1016/j.pcd.2020.10.013
pii:
doi:

Substances chimiques

Blood Glucose 0
Glycated Hemoglobin A 0
Hypoglycemic Agents 0
Insulin 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

199-207

Informations de copyright

Copyright © 2020. Published by Elsevier Ltd.

Auteurs

Steven V Edelman (SV)

University of California San Diego and Taking Control of Your Diabetes 501c3, San Diego, CA 92161, USA. Electronic address: sedelman@ucsd.edu.

Tricia Santos Cavaiola (TS)

Department of Medicine, Clinical and Translational Research Institute (CTRI), San Diego, CA 92161, USA. Electronic address: tksantos@ucsd.edu.

Schafer Boeder (S)

Department of Medicine, Clinical and Translational Research Institute (CTRI), University of California SanDiego, San Diego, CA 92161, USA. Electronic address: sboeder@health.ucsd.edu.

Jeremy Pettus (J)

Department of Medicine, Clinical and Translational Research Institute (CTRI), University of California SanDiego, San Diego, CA 92161, USA. Electronic address: jpettus@ucsd.edu.

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Classifications MeSH