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Utility and precision evidence of technology in the treatment of type 1 diabetes: a systematic review
BACKGROUND: The greatest change in the treatment of people living with type 1 diabetes in the last decade has been the explosion of technology assisting in all aspects of diabetes therapy, from glucose monitoring to insulin delivery and decision making. As such, the aim of our systematic review was...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10550996/ https://www.ncbi.nlm.nih.gov/pubmed/37794113 http://dx.doi.org/10.1038/s43856-023-00358-x |
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author | Jacobsen, Laura M. Sherr, Jennifer L. Considine, Elizabeth Chen, Angela Peeling, Sarah M. Hulsmans, Margo Charleer, Sara Urazbayeva, Marzhan Tosur, Mustafa Alamarie, Selma Redondo, Maria J. Hood, Korey K. Gottlieb, Peter A. Gillard, Pieter Wong, Jessie J. Hirsch, Irl B. Pratley, Richard E. Laffel, Lori M. Mathieu, Chantal |
author_facet | Jacobsen, Laura M. Sherr, Jennifer L. Considine, Elizabeth Chen, Angela Peeling, Sarah M. Hulsmans, Margo Charleer, Sara Urazbayeva, Marzhan Tosur, Mustafa Alamarie, Selma Redondo, Maria J. Hood, Korey K. Gottlieb, Peter A. Gillard, Pieter Wong, Jessie J. Hirsch, Irl B. Pratley, Richard E. Laffel, Lori M. Mathieu, Chantal |
author_sort | Jacobsen, Laura M. |
collection | PubMed |
description | BACKGROUND: The greatest change in the treatment of people living with type 1 diabetes in the last decade has been the explosion of technology assisting in all aspects of diabetes therapy, from glucose monitoring to insulin delivery and decision making. As such, the aim of our systematic review was to assess the utility of these technologies as well as identify any precision medicine-directed findings to personalize care. METHODS: Screening of 835 peer-reviewed articles was followed by systematic review of 70 of them (focusing on randomized trials and extension studies with ≥50 participants from the past 10 years). RESULTS: We find that novel technologies, ranging from continuous glucose monitoring systems, insulin pumps and decision support tools to the most advanced hybrid closed loop systems, improve important measures like HbA1c, time in range, and glycemic variability, while reducing hypoglycemia risk. Several studies included person-reported outcomes, allowing assessment of the burden or benefit of the technology in the lives of those with type 1 diabetes, demonstrating positive results or, at a minimum, no increase in self-care burden compared with standard care. Important limitations of the trials to date are their small size, the scarcity of pre-planned or powered analyses in sub-populations such as children, racial/ethnic minorities, people with advanced complications, and variations in baseline glycemic levels. In addition, confounders including education with device initiation, concomitant behavioral modifications, and frequent contact with the healthcare team are rarely described in enough detail to assess their impact. CONCLUSIONS: Our review highlights the potential of technology in the treatment of people living with type 1 diabetes and provides suggestions for optimization of outcomes and areas of further study for precision medicine-directed technology use in type 1 diabetes. |
format | Online Article Text |
id | pubmed-10550996 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-105509962023-10-06 Utility and precision evidence of technology in the treatment of type 1 diabetes: a systematic review Jacobsen, Laura M. Sherr, Jennifer L. Considine, Elizabeth Chen, Angela Peeling, Sarah M. Hulsmans, Margo Charleer, Sara Urazbayeva, Marzhan Tosur, Mustafa Alamarie, Selma Redondo, Maria J. Hood, Korey K. Gottlieb, Peter A. Gillard, Pieter Wong, Jessie J. Hirsch, Irl B. Pratley, Richard E. Laffel, Lori M. Mathieu, Chantal Commun Med (Lond) Article BACKGROUND: The greatest change in the treatment of people living with type 1 diabetes in the last decade has been the explosion of technology assisting in all aspects of diabetes therapy, from glucose monitoring to insulin delivery and decision making. As such, the aim of our systematic review was to assess the utility of these technologies as well as identify any precision medicine-directed findings to personalize care. METHODS: Screening of 835 peer-reviewed articles was followed by systematic review of 70 of them (focusing on randomized trials and extension studies with ≥50 participants from the past 10 years). RESULTS: We find that novel technologies, ranging from continuous glucose monitoring systems, insulin pumps and decision support tools to the most advanced hybrid closed loop systems, improve important measures like HbA1c, time in range, and glycemic variability, while reducing hypoglycemia risk. Several studies included person-reported outcomes, allowing assessment of the burden or benefit of the technology in the lives of those with type 1 diabetes, demonstrating positive results or, at a minimum, no increase in self-care burden compared with standard care. Important limitations of the trials to date are their small size, the scarcity of pre-planned or powered analyses in sub-populations such as children, racial/ethnic minorities, people with advanced complications, and variations in baseline glycemic levels. In addition, confounders including education with device initiation, concomitant behavioral modifications, and frequent contact with the healthcare team are rarely described in enough detail to assess their impact. CONCLUSIONS: Our review highlights the potential of technology in the treatment of people living with type 1 diabetes and provides suggestions for optimization of outcomes and areas of further study for precision medicine-directed technology use in type 1 diabetes. Nature Publishing Group UK 2023-10-05 /pmc/articles/PMC10550996/ /pubmed/37794113 http://dx.doi.org/10.1038/s43856-023-00358-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Jacobsen, Laura M. Sherr, Jennifer L. Considine, Elizabeth Chen, Angela Peeling, Sarah M. Hulsmans, Margo Charleer, Sara Urazbayeva, Marzhan Tosur, Mustafa Alamarie, Selma Redondo, Maria J. Hood, Korey K. Gottlieb, Peter A. Gillard, Pieter Wong, Jessie J. Hirsch, Irl B. Pratley, Richard E. Laffel, Lori M. Mathieu, Chantal Utility and precision evidence of technology in the treatment of type 1 diabetes: a systematic review |
title | Utility and precision evidence of technology in the treatment of type 1 diabetes: a systematic review |
title_full | Utility and precision evidence of technology in the treatment of type 1 diabetes: a systematic review |
title_fullStr | Utility and precision evidence of technology in the treatment of type 1 diabetes: a systematic review |
title_full_unstemmed | Utility and precision evidence of technology in the treatment of type 1 diabetes: a systematic review |
title_short | Utility and precision evidence of technology in the treatment of type 1 diabetes: a systematic review |
title_sort | utility and precision evidence of technology in the treatment of type 1 diabetes: a systematic review |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10550996/ https://www.ncbi.nlm.nih.gov/pubmed/37794113 http://dx.doi.org/10.1038/s43856-023-00358-x |
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