Abstract:
:By the year 2030, the diabetes pandemic will likely affect more than 10% of the world's population. The personal, public health, and economic crises implicit in this trend call for decisive action. Yet, escalating dilemmas thwart full realization of current therapies. First, controversial studies, such as the Action to Control Cardiovascular Risk in Diabetes (ACCORD) Trial, have amplified calls to individualize glycated hemoglobin (A1C) targets in the absence of adequate infrastructures for supporting personalized care. Second, costlier medications and technologies addressing more nuanced aspects of metabolic dysfunction are expanding options for diabetes management amidst growing disparities between "affordable" and "best" care. Third, common clinical quandaries, such as discrepancies between A1C and self-monitoring of blood glucose data, as well as misconceptions about long-term glycemic assessment, compound entrenched cycles of inadequate self-care, delayed intervention, and suboptimal glycemic outcomes. Because individual, clinical, and public policy responses to these conflicting forces are based largely on methodologies for glucose measurement, a panel of clinical experts from Europe and North America was convened to reexamine our glucose measuring tools and determine ways in which they can be better applied toward more purposeful processes of glycemic management. Among the main issues addressed were the need for caution in interpreting A1C for individual patients, the role of alternative biomarkers in identifying aspects of glycemic dysregulation not captured by A1C, and the value of using patients' own glucose data to consolidate therapeutic, educational, and behavior-change objectives.
journal_name
Diabetes Technol Therjournal_title
Diabetes technology & therapeuticsauthors
Hirsch IB,Amiel SA,Blumer IR,Bode BW,Edelman SV,Seley JJ,Verderese CA,Kilpatrick ESdoi
10.1089/dia.2012.0132subject
Has Abstractpub_date
2012-11-01 00:00:00pages
973-83; quiz 983issue
11eissn
1520-9156issn
1557-8593journal_volume
14pub_type
杂志文章,评审abstract:BACKGROUND:The quantitative analysis of glucose time-series can greatly help the management of diabetes. In particular, a static nonlinear transformation, which symmetrizes the distribution of glucose levels by bringing them in the so-called risk space, was proposed previously for both self-monitoring blood glucose and...
journal_title:Diabetes technology & therapeutics
pub_type: 杂志文章
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journal_title:Diabetes technology & therapeutics
pub_type: 杂志文章,多中心研究
doi:10.1089/dia.2010.0215
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journal_title:Diabetes technology & therapeutics
pub_type: 临床试验,杂志文章
doi:10.1089/dia.2006.0059
更新日期:2007-02-01 00:00:00
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journal_title:Diabetes technology & therapeutics
pub_type: 杂志文章
doi:10.1089/dia.2004.6.567
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journal_title:Diabetes technology & therapeutics
pub_type: 杂志文章
doi:10.1089/dia.2012.0235
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journal_title:Diabetes technology & therapeutics
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pub_type: 杂志文章
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journal_title:Diabetes technology & therapeutics
pub_type: 杂志文章
doi:10.1089/dia.2013.0166
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journal_title:Diabetes technology & therapeutics
pub_type: 杂志文章
doi:10.1089/dia.2005.7.225
更新日期:2005-02-01 00:00:00
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journal_title:Diabetes technology & therapeutics
pub_type: 杂志文章
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journal_title:Diabetes technology & therapeutics
pub_type: 杂志文章
doi:10.1089/dia.2016.0216
更新日期:2016-10-01 00:00:00
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journal_title:Diabetes technology & therapeutics
pub_type: 临床试验,杂志文章
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更新日期:2016-11-01 00:00:00
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journal_title:Diabetes technology & therapeutics
pub_type: 杂志文章
doi:10.1089/dia.2010.0187
更新日期:2011-04-01 00:00:00
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journal_title:Diabetes technology & therapeutics
pub_type: 杂志文章
doi:10.1089/dia.2011.0004
更新日期:2011-08-01 00:00:00
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journal_title:Diabetes technology & therapeutics
pub_type: 杂志文章
doi:10.1089/dia.2013.0297
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pub_type: 杂志文章
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journal_title:Diabetes technology & therapeutics
pub_type: 杂志文章,随机对照试验
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pub_type: 杂志文章,收录出版
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journal_title:Diabetes technology & therapeutics
pub_type: 临床试验,杂志文章
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更新日期:2002-01-01 00:00:00
abstract:BACKGROUND:The efficacy of short-term professional continuous glucose monitoring (CGM) for glycemic control in patients with diabetes remains unclear. METHODS:We performed a 3-month study to evaluate the benefits of CGM in 64 patients. RESULTS:The overall glycemic control of patients who underwent CGM improved signif...
journal_title:Diabetes technology & therapeutics
pub_type: 杂志文章
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更新日期:2018-09-01 00:00:00
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journal_title:Diabetes technology & therapeutics
pub_type: 杂志文章,多中心研究
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更新日期:2008-02-01 00:00:00
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pub_type: 杂志文章
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更新日期:2017-10-01 00:00:00
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journal_title:Diabetes technology & therapeutics
pub_type: 杂志文章,多中心研究,随机对照试验
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pub_type: 杂志文章
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更新日期:2013-01-01 00:00:00
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journal_title:Diabetes technology & therapeutics
pub_type: 杂志文章
doi:10.1089/dia.2019.0377
更新日期:2020-08-01 00:00:00
abstract:BACKGROUND:Understanding the effect size, variability, and underlying physiology of the dawn phenomenon is important for next-generation closed-loop control algorithms for type 1 diabetes (T1D). SUBJECTS AND METHODS:We used an iterative protocol design to study 16 subjects with T1D on individualized insulin pump thera...
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pub_type: 杂志文章
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更新日期:2015-08-01 00:00:00
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journal_title:Diabetes technology & therapeutics
pub_type: 杂志文章,评审
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