The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
The Continuous Glucose Monitoring System Is Useful for Detecting Unrecognized Hypoglycemias in Patients With Type 1 and Type 2 Diabetes but Is Not Better Than Frequent Capillary Glucose Measurements for Improving Metabolic Control
Open accessAbstract
OBJECTIVE—To evaluate whether the continuous glucose monitoring system (CGMS; MiniMed, Sylmar, CA) is useful for investigating the incidence of unrecognized hypoglycemias in type 1 and type 2 diabetic patients and for improving metabolic control in type 1 diabetic patients. RESEARCH DESIGN AND METHODS—A total of 70 diabetic subjects (40 type 1 and 30 type 2 subjects) were monitored using the CGMS. The number of unrecognized hypoglycemias was registered. Furthermore, the 40 type 1 diabetic patients whose treatment was modified in accordance with the information obtained from the CGMS were compared with a control group of 35 different type 1 diabetic patients using intensive capillary glucose measurements. HbA1c levels were measured before the monitoring period and 3 months later. RESULTS—The CGMS detected unrecognized hypoglycemias in 62.5% of the type 1 diabetic patients and in 46.6% of the type 2 diabetic patients. We found that 73.7% of all events occurred at night. HbA1c concentrations decreased significantly in both the group of type 1 diabetic subjects monitored with the CGMS (from 8.3 ± 1.6 to 7.5 ± 1.2%, P < 0.01) and the control group (from 8.0 ± 1.4 to 7.5 ± 0.8%, P < 0.01). The greatest reduction was observed in the subgroup of patients who started continuous subcutaneous insulin infusion therapy, both in the CGMS-monitored and control groups (from 9.4 ± 2 to 7.2 ± 1.4% and from 8.1 ± 1.8 to 7.1 ± 0.6%, respectively). CONCLUSIONS—The CGMS is useful for detecting unrecognized hypoglycemias in type 1 and type 2 diabetic subjects; however, it is not better than standard capillary glucose measurements for improving metabolic control of type 1 diabetic subjects, regardless of the therapeutic regimen.
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(1993) · New England Journal of Medicine · doi:10.1056/nejm199309303291401 · Cited by 24,667
Nowy rok, stare problemy, ale i nowe możliwości
Czupryniak, L. (2014) · Via Medica Journals · Cited by 1,192
Hypoglycaemia: the limiting factor in the glycaemic management of type I and type II diabetes.
Cryer, P. (2002) · Diabetologia · doi:10.1007/s00125-002-0822-9 · Cited by 794
Pickup, J. C., & Williams, G. H. (1991) · Cited by 573
Limitations of Conventional Methods of Self-Monitoring of Blood Glucose
Boland, E. A., Monsod, T. P., DeLucia, M. C., Brandt, C., Fernando, S. K., & Tamborlane, W. V. (2001) · Diabetes Care · doi:10.2337/diacare.24.11.1858 · Cited by 424
The MiniMed Continuous Glucose Monitoring System
Mastrototaro, J. J. (2000) · Diabetes Technology & Therapeutics · doi:10.1089/15209150050214078 · Cited by 394
Rebrin, K., Steil, G. M., van Antwerp, W. P., & Mastrototaro, J. J. (1999) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.1999.277.3.e561 · Cited by 367
Hypoglycemia-associated autonomic failure in advanced type 2 diabetes.
Segel, S. A., Paramore, D. S., & Cryer, P. E. (2002) · Diabetes · doi:10.2337/diabetes.51.3.724 · Cited by 337
Performance Evaluation of the MiniMed® Continuous Glucose Monitoring System During Patient Home Use
Gross, T. M., Bode, B. W., EINHORN, D. F., Kayne, D. M., Reed, J. H. C., White, N. H., & Mastrototaro, J. J. (2000) · Diabetes Technology & Therapeutics · doi:10.1089/152091500316737 · Cited by 304
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Glucose sensors: a review of current and emerging technology
Oliver, N. S., Toumazou, C., Cass, A. E. G., & Johnston, D. G. (2009) · Diabetic Medicine · doi:10.1111/j.1464-5491.2008.02642.x · Cited by 584
Deiss, D., Bolinder, J., Riveline, J.-P., Battelino, T., Bosi, E., Tubiana-Rufi, N., Kerr, D., & Phillip, M. (2006) · Diabetes Care · doi:10.2337/dc06-1134 · Cited by 539
Babu, A. R., Herdegen, J., Fogelfeld, L., Shott, S., & Mazzone, T. (2005) · Archives of Internal Medicine · doi:10.1001/archinte.165.4.447 · Cited by 453
Hypoglycemia in Type 2 Diabetes
Zammitt, N. N., & Frier, B. M. (2005) · Diabetes Care · doi:10.2337/diacare.28.12.2948 · Cited by 435
Metadata
- Authors
- Chico, A., Vidal-Ríos, P., Subirà, M., & Novials, A.
- Affiliations
- Institute of Diabetology, Fundació Sardà Farriol, Barcelona, Spain
- Diabetes Center, La Coruña, Spain
- Venue
- Diabetes Care
- Publisher
- American Diabetes Association
- Published
- 2003-04-01
- Volume
- 26
- Issue
- 4
- Pages
- 1153-1157
- ISSN
- 0149-5992 (ISSN-L)
- 1935-5548
- OpenAlex
- W2165449026
- Cited by
- 235
- References
- 23
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 4 · 2023: 4 · 2022: 8 · 2021: 3 · 2020: 4 · 2019: 8 · 2018: 11 · 2017: 6 · 2016: 9 · 2015: 20 · 2014: 10 · 2013: 13 · 2012: 14
- FWCI
- 8.13
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Diabetes Care (publishedVersion)
- PubMed (publishedVersion)
- 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, type 1 diabetes, type 2 diabetes, glycemic control, HbA1c, nocturnal hypoglycemia, insulin pump therapy
- MeSH terms
- Adult, Blood Glucose, Capillaries, Diabetes Mellitus, Type 1, Diabetes Mellitus, Type 2, Female, Glycated Hemoglobin, Humans, Hypoglycemia, Male, Gas Chromatography-Mass Spectrometry, Middle Aged, Monitoring, Physiologic, Monitoring, Ambulatory
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