ReviewEndocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists
Blood glucose monitoring technology: translating data into practice.
Review in Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It reports registered trial NCT01524705. Cited by 16 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
FLAT-SUGAR: FLuctuATion Reduction With inSULin and Glp-1 Added togetheR
Who cites it
16 citing papers in PubMed.
- Use of a Novel, Remotely Connected Diabetes Management System Is Associated with Increased Treatment Satisfaction, Reduced Diabetes Distress, and Improved Glycemic Control in Individuals with Insulin-Treated Diabetes: First Results from the Personal Diabetes Management Study.Diabetes technology & therapeutics · 2017Trial
- A Comprehensive Evaluation of a Novel Color Range Indicator in Multiple Blood Glucose Meters Demonstrates Improved Glucose Range Interpretation and Awareness in Subjects With Type 1 and Type 2 Diabetes.Journal of diabetes science and technology · 2016Trial
- Continuous Glucose Monitoring Frequency and Glycemic Control in People With Type 2 Diabetes.JAMA network open · 2025Article
- The Digital/Virtual Diabetes Clinic: The Future Is Now-Recommendations from an International Panel on Diabetes Digital Technologies Introduction.Diabetes technology & therapeutics · 2021Article
- Article
- Improving the Quality of Outpatient Diabetes Care Using an Information Management System: Results From the Observational VISION Study.Journal of diabetes science and technology · 2015Observational
- Use of diabetes data management software reports by health care providers, patients with diabetes, and caregivers improves accuracy and efficiency of data analysis and interpretation compared with traditional logbook data: first results of the Accu-Chek Connect Reports Utility and Efficiency Study (ACCRUES).Journal of diabetes science and technology · 2015Article
- Integrated insulin pump therapy with continuous glucose monitoring for improved adherence: technology update.Patient preference and adherence · 2015Review
- Improved outcomes from diabetes monitoring: the benefits of better adherence, therapy adjustments, patient education, and telemedicine support.Journal of diabetes science and technology · 2012Article
- Performance evaluation and labeling comprehension of a new blood glucose monitoring system with integrated information management.Journal of diabetes science and technology · 2011Article
- Hypoglycemia risk and glucose variability indices derived from routine self-monitoring of blood glucose are related to laboratory measures of insulin sensitivity and epinephrine counterregulation.Diabetes technology & therapeutics · 2011Article
- New approaches to display of self-monitoring of blood glucose data.Journal of diabetes science and technology · 2009Article
- Value of self-monitoring blood glucose pattern analysis in improving diabetes outcomes.Journal of diabetes science and technology · 2009Article
- Technology and intensive management in youth with type 1 diabetes: state of the art.Current diabetes reports · 2007Review
- Ascensia WinGLUCOFACTS Professional Software improves diabetes health outcomes.Journal of diabetes science and technology · 2007Article
- Genetic epidemiology of diabetes.The Journal of clinical investigation · 2005Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo describe how blood glucose software downloading has been successfully incorporated into a clinical practice by focusing on key data--frequency of testing, blood glucose averages, and standard deviations.
methodsThe development of self-monitoring of blood glucose, including the spectrum of blood glucose monitors and diabetes management software programs, is reviewed, and clinical applications in specific cases are presented.
resultsSince the 1980s, motivated patients with diabetes have used portable meters to monitor their blood glucose levels. The practice became a standard of care in 1993, when the Diabetes Control and Complications Trial demonstrated that maintaining near-normal glycemic levels could prevent or delay the long-term complications of type 1 diabetes. Since then, the technology of blood glucose monitoring has burgeoned--an array of memory meters and downloading software offers clinicians and patients more information than ever before. Yet, because health-care providers and patients are often at a loss to interpret and apply the resulting plethora of data, few take full advantage of the latest technology. Important insights are shared about certain downloaded information from glucose meters that will help improve or maintain glycemic control.
conclusionData downloaded from glucose meters can be used in conjunction with written records in logbooks to evaluate glucose patterns and formulate more precise and efficacious therapeutic regimens.
Indexed as
Identifiers
15251625What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.