ArticleDiabetes therapy : research, treatment and education of diabetes and related disorders2013
Glucose meters with built-in automated bolus calculator: gadget or real value for insulin-treated diabetic patients?
Article in Diabetes therapy : research, treatment and education of diabetes and related disorders, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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The trial behind it
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Who cites it
14 citing papers in PubMed, 30 citations in OpenAlex.
- A study of patient experience using a blood glucose meter with an in-built insulin dose calculator.Journal of diabetes science and technology · 2014Trial
- Comparison of three insulin bolus calculators to increase time in range of glycemia in a group of poorly controlled adults Type 1 diabetes in a Brazilian public health service.Diabetology & metabolic syndrome · 2022Article
- Glycemic Status Assessment by the Latest Glucose Monitoring Technologies.International journal of molecular sciences · 2020Review
- Review
- Issues and Ideas in Bolus Advisor Research With Commentary on "A Methodology to Compare Insulin Dosing Algorithms in Real-Life Settings".Journal of diabetes science and technology · 2017Article
- A Methodology to Compare Insulin Dosing Recommendations in Real-Life Settings.Journal of diabetes science and technology · 2017Article
- Characterization of Exercise and Alcohol Self-Management Behaviors of Type 1 Diabetes Patients on Insulin Pump Therapy.Journal of diabetes science and technology · 2017Article
- Qualitative assessment of user experiences of a novel smart phone application designed to support flexible intensive insulin therapy in type 1 diabetes.BMC medical informatics and decision making · 2016Article
- Influences on Technology Use and Efficacy in Type 1 Diabetes.Journal of diabetes science and technology · 2016Review
- Dietary strategies for adult type 1 diabetes in light of outcome evidence.European journal of clinical nutrition · 2015Review
- iDECIDE: A Mobile Application for Insulin Dosing Using an Evidence Based Equation to Account for Patient Preferences.Studies in health technology and informatics · 2015Article
- Cross-sectional survey and retrospective analysis of a large cohort of adults with type 1 diabetes with long-term continuous subcutaneous insulin infusion treatment.Journal of diabetes science and technology · 2014Article
- Self-monitoring of blood glucose in diabetes: from evidence to clinical reality in Central and Eastern Europe--recommendations from the international Central-Eastern European expert group.Diabetes technology & therapeutics · 2014Review
- Use of Automated Bolus Calculators for Diabetes Management.European endocrinology · 2013Review
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Self-monitoring of blood glucose is now widely recognized as efficacious to enhance and facilitate diabetes management. More than just a means of recording and storing data, some blood glucose meters (BGMs) are now designed with an embedded automated bolus calculator (ABC) with the goal to propose patients recommendations about insulin dosage. The growing literature in this field tends to claim that these new smart BGMs make patient's life easier and decision making safer. The main purpose of this review is to verify whether BGMs with a built-in ABC indeed improve the willingness and the ability of insulin-treated patients to make adequate therapeutic decisions and positively impact the metabolic control and the quality of life of ABC users. It appears that, as long as the education provided by caregivers remains a top priority, BGMs with a built-in ABC (more than just electronic gadgets) can be regarded as bringing real value to insulin-treated patients with diabetes.
Identifiers
What OpenQuestion 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 OpenQuestion graph.