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The DOI matches its Crossref record; 11 of the 12 references it cites were found in a registry or an index.

Optimal Sampling Intervals to Assess Long-Term Glycemic Control Using Continuous Glucose Monitoring

Open access
Xing, Dongyuan, Kollman, Craig, Beck, Roy W., Tamborlane, William V., Laffel, Lori, Buckingham, Bruce A., Wilson, Darrell M., Weinzimer, Stuart, Fiallo-Scharer, Rosanna, Ruedy for the Juvenile Diabetes Research Foundation Continuo, Katrina J.·2011·Diabetes Technology & Therapeutics
DOI 10.1089/dia.2010.0156PMC PMC6468940
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Abstract

AIMS AND HYPOTHESIS: The optimal duration and frequency of short-term continuous glucose monitoring (CGM) to reflect long-term glycemia have not been determined. The Juvenile Diabetes Research Foundation CGM randomized trials provided a large dataset of longitudinal CGM data for this type of analysis. METHODS: The analysis included 185 subjects who had 334 3-month intervals of CGM data meeting specific criteria. For various glucose indices, correlations (r²) were computed for the entire 3-month interval versus selected sampling periods ranging from 3 to 15 days. Other computed agreement measures included median relative absolute difference, values within ± 10% and ± 20% of full value, and median absolute difference. RESULTS: As would be expected, the more days of glucose data that were sampled, the higher the correlation with the full 3 months of data. For 3 days of sampling, the r² value ranged from 0.32 to 0.47, evaluating mean glucose, percentage of values 71-180 mg/dL, percentage of values > 180 mg/dL, percentage of values ≤ 70 mg/dL, and coefficient of variation; in contrast, for 15 days of sampling, the r² values ranged from 0.66 to 0.75. The results were similar when the analysis intervals were stratified by age group (8-14, 15-24, and ≥ 25 years), by baseline hemoglobin A1c level (< 7.0% and ≥ 7.0%), and by CGM device type. CONCLUSIONS AND INTERPRETATION: Our data suggest that a 12-15-day period of monitoring every 3 months may be needed to optimally assess overall glucose control. Shorter periods of sampling can be useful, but the correlation with 3-month measures of glycemic control is lower.

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Research works printed but not linked: 3

  1. Bugler J. An estimation of the amount of data required to measure glycemic variability. Presented at the Advanced Technologies and Treatment for Diabetes Conference, Prague, Czech Republic, 2008.
  2. DexCom Inc. DexCom™ STS™ Continuous Glucose Monitoring System User's Guide. San Diego, CA: DexCom Inc., 2006; 86–102.
  3. Magee L. R2 measures based on Wald and Likelihood Ratio Joint Significance tests. Am Stat, 1990; 44:250–253.

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Metadata

Authors
Xing, D., Kollman, C., Beck, R. W., Tamborlane, W. V., Laffel, L., Buckingham, B. A., Wilson, D. M., Weinzimer, S., Fiallo-Scharer, R., & Ruedy for the Juvenile Diabetes Research Foundation Continuo, K. J.
Affiliations
  • Jaeb Center for Health Research (US)
  • Yale University (US)
  • Joslin Diabetes Center (US)
  • Stanford University (US)
  • Barbara Davis Center
  • Jaeb Center for Health Research
Corresponding author
Xing, Dongyuan
ORCID
Venue
Diabetes Technology & Therapeutics
Publisher
SAGE Publications
Published
2011-03
Volume
13
Issue
3
Pages
351-358
ISSN
  • 1520-9156 (ISSN-L)
  • 1557-8593
DOI
10.1089/dia.2010.0156
PMC
PMC6468940
OpenAlex
W2007986610
Cited by
131
References
12
Citations by year
2026: 10 · 2025: 7 · 2024: 11 · 2023: 15 · 2022: 18 · 2021: 21 · 2020: 15 · 2019: 10 · 2018: 4 · 2017: 6 · 2016: 4 · 2015: 1 · 2014: 1 · 2013: 1 · 2012: 5
FWCI
2.10
Type
journal article
Language
en
Open access
Licence
journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
Locations
  • Diabetes Technology & Therapeutics (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
Eunice Kennedy Shriver National Institute of Child Health and Human Development (U10HD041908)
Topics
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Treatment and Management
Keywords
continuous glucose monitoring, glycemic control, sampling interval, HbA1c, mean blood glucose, hypoglycemia, hyperglycemia, coefficient of variation, type 1 diabetes
MeSH terms
Adolescent, Adult, Aged, Blood Glucose, Child, Diabetes Mellitus, Type 1, Female, Glycated Hemoglobin, Humans, Longitudinal Studies, Male, Middle Aged, Time Factors, Blood Glucose Self-Monitoring, Young Adult

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