Published in J Diabetes Sci Technol on September 01, 2012
The current status of mHealth for diabetes: will it be the next big thing? J Diabetes Sci Technol (2013) 1.60
Challenges and Recent Progress in the Development of a Closed-loop Artificial Pancreas. Annu Rev Control (2012) 1.49
Bolus calculators. J Diabetes Sci Technol (2014) 1.02
Technology to Reduce Hypoglycemia. J Diabetes Sci Technol (2015) 0.75
Clinical evaluation of the use of a multifunctional remotely controlled insulin pump: multicenter observational study. J Diabetes Sci Technol (2014) 0.75
A Randomized Controlled Study of an Insulin Dosing Application That Uses Recognition and Meal Bolus Estimations. J Diabetes Sci Technol (2016) 0.75
Bolus Calculator Safety Mandates a Need for Standards. J Diabetes Sci Technol (2016) 0.75
Association of numeracy and diabetes control. Ann Intern Med (2008) 5.08
A bolus calculator is an effective means of controlling postprandial glycemia in patients on insulin pump therapy. Diabetes Technol Ther (2003) 1.98
Does the fat-protein meal increase postprandial glucose level in type 1 diabetes patients on insulin pump: the conclusion of a randomized study. Diabetes Technol Ther (2011) 1.89
Performance of a glucose meter with a built-in automated bolus calculator versus manual bolus calculation in insulin-using subjects. J Diabetes Sci Technol (2012) 1.76
Evolution of data management tools for managing self-monitoring of blood glucose results: a survey of iPhone applications. J Diabetes Sci Technol (2010) 1.63
Use of an automated bolus calculator in MDI-treated type 1 diabetes: the BolusCal Study, a randomized controlled pilot study. Diabetes Care (2012) 1.54
Guidelines for optimal bolus calculator settings in adults. J Diabetes Sci Technol (2011) 1.37
Use of an automated bolus calculator reduces fear of hypoglycemia and improves confidence in dosage accuracy in patients with type 1 diabetes mellitus treated with multiple daily insulin injections. J Diabetes Sci Technol (2012) 1.37
Bolus calculator with nutrition database software, a new concept of prandial insulin programming for pump users. J Diabetes Sci Technol (2010) 1.07
Bolus guide: a novel insulin bolus dosing decision support tool based on selection of carbohydrate ranges. J Diabetes Sci Technol (2010) 1.06
Carbohydrate counting with a bolus calculator improves post-prandial blood glucose levels in children and adolescents with type 1 diabetes using insulin pumps. Pediatr Diabetes (2012) 0.97
Poor numeracy: the elephant in the diabetes technology room. J Diabetes Sci Technol (2010) 0.91
Improved outcomes from diabetes monitoring: the benefits of better adherence, therapy adjustments, patient education, and telemedicine support. J Diabetes Sci Technol (2012) 0.89
Development and validation of a computer application to aid the physician's decision-making process at the start of and during treatment with insulin in type 2 diabetes: a randomized and controlled trial. J Diabetes Sci Technol (2012) 0.88
A review of the "bolus guide," a new insulin bolus dosing support tool based on selection of carbohydrate ranges. J Diabetes Sci Technol (2010) 0.84
Analysis of use of an automated bolus calculator reduces fear of hypoglycemia and improves confidence in dosage accuracy in type 1 diabetes mellitus patients treated with multiple daily insulin injections. J Diabetes Sci Technol (2012) 0.80
Commentary on "Performance of a glucose meter with a built-in automated bolus calculator versus manual bolus calculation in insulin-using subjects". J Diabetes Sci Technol (2012) 0.80
Threshold-based insulin-pump interruption for reduction of hypoglycemia. N Engl J Med (2013) 6.64
Recommendations for standardizing glucose reporting and analysis to optimize clinical decision making in diabetes: the Ambulatory Glucose Profile (AGP). Diabetes Technol Ther (2013) 2.85
Reduction in duration of hypoglycemia by automatic suspension of insulin delivery: the in-clinic ASPIRE study. Diabetes Technol Ther (2012) 2.46
The missing element of telemedicine for diabetes: decision support software. J Diabetes Sci Technol (2009) 1.83
Time synching or time sinking? Diabetes Technol Ther (2005) 1.70
The need for separate performance goals for glucose sensors in the hypoglycemic, normoglycemic, and hyperglycemic ranges. Diabetes Care (2004) 1.55
Using telemedicine to improve outcomes in diabetes--an emerging technology. J Diabetes Sci Technol (2009) 1.52
Blood glucose meter market: this world is undergoing drastic changes. J Diabetes Sci Technol (2013) 1.51
Assisted monitoring of blood glucose: special safety needs for a new paradigm in testing glucose. J Diabetes Sci Technol (2010) 1.48
Technical aspects of the Parkes error grid. J Diabetes Sci Technol (2013) 1.41
Second insulin pump safety meeting: summary report. J Diabetes Sci Technol (2010) 1.40
A review of the security of insulin pump infusion systems. J Diabetes Sci Technol (2011) 1.34
Regulatory controversies surround blood glucose monitoring devices. J Diabetes Sci Technol (2010) 1.32
New evidence demonstrates that self-monitoring of blood glucose does not improve outcomes in type 2 diabetes-when this practice is not applied properly. J Diabetes Sci Technol (2008) 1.15
The need for clinical accuracy guidelines for blood glucose monitors. J Diabetes Sci Technol (2012) 1.14
Diabetes and telemedicine: is the technology sound, effective, cost-effective, and practical? Diabetes Care (2003) 1.11
Personalized medicine for diabetes. J Diabetes Sci Technol (2008) 1.05
SMBG out of control: the need for educating patients about control solution. Diabetes Educ (2013) 0.99
Designing an artificial pancreas system to be compatible with other medical devices. J Diabetes Sci Technol (2008) 0.99
Recommendations for standardizing glucose reporting and analysis to optimize clinical decision making in diabetes: the ambulatory glucose profile. J Diabetes Sci Technol (2013) 0.97
Technology to treat hyperglycemia in trauma. J Diabetes Sci Technol (2007) 0.94
Subcutaneous continuous glucose monitoring in severe burn patients. Crit Care Med (2007) 0.92
Quality Control of Insulins and Biosimilar Insulins: What Do We Know? J Diabetes Sci Technol (2016) 0.91
Point-of-Care Blood Glucose Meter Accuracy in the Hospital Setting. Diabetes Spectr (2014) 0.90
Hypoglycemia begets hypoglycemia: the order effect in the ASPIRE in-clinic study. Diabetes Technol Ther (2014) 0.90
Improved outcomes from diabetes monitoring: the benefits of better adherence, therapy adjustments, patient education, and telemedicine support. J Diabetes Sci Technol (2012) 0.89
Twelve modern digital technologies that are transforming decision making for diabetes and all areas of health care. J Diabetes Sci Technol (2013) 0.88
Improving the safety of blood glucose monitoring. J Diabetes Sci Technol (2011) 0.86
The ASPIRE study: design and methods of an in-clinic crossover trial on the efficacy of automatic insulin pump suspension in exercise-induced hypoglycemia. J Diabetes Sci Technol (2011) 0.86
Spending for diabetes drugs is increasing in the United States. J Diabetes Sci Technol (2008) 0.81
The increasing incidence of diabetes in the 21st century. J Diabetes Sci Technol (2009) 0.80
United Kingdom prospective diabetes study follow-up studies establish a legacy effect of therapy for hyperglycemia but not hypertension. J Diabetes Sci Technol (2008) 0.79
The need for performance standards for continuous glucose monitors. J Diabetes Sci Technol (2007) 0.78
Hospital diabetes: why quality of care matters to both patients and hospitals. J Diabetes Sci Technol (2011) 0.78
A sweetened beverage tax is needed to combat the obesity epidemicas well as related absenteeism and presenteeism. J Diabetes Sci Technol (2009) 0.78
The benefits of implanted glucose sensors. J Diabetes Sci Technol (2007) 0.78
The need for a glycemia modeling comparison workshop to facilitate development of an artificial pancreas. J Diabetes Sci Technol (2010) 0.78
The beneficial effects of a Paleolithic diet on type 2 diabetes and other risk factors for cardiovascular disease. J Diabetes Sci Technol (2009) 0.77
Microdialysis of interstitial fluid for continuous glucose measurement. Diabetes Technol Ther (2003) 0.76
Business and economics of diabetes. J Diabetes Sci Technol (2008) 0.76
Glutamic Acid decarboxylase therapy for recent-onset type 1 diabetes: are we at the end or the beginning of finding a cure? J Diabetes Sci Technol (2009) 0.75
Fibroblast growth factor: will this hormone be the hemoglobin A1c for managing phosphorus balance in chronic kidney disease? J Diabetes Sci Technol (2010) 0.75
Bariatric surgery for obese adolescents. J Diabetes Sci Technol (2007) 0.75
Dirlotapide, a U.S. Food and Drug Administration-approved first-in-class obesity drug for dogs-will humans be next? J Diabetes Sci Technol (2007) 0.75
The "catalyst to better diabetes care act of 2007". J Diabetes Sci Technol (2008) 0.75
The link between diabetes, military metabolic monitoring, and NASA. Diabetes Technol Ther (2003) 0.75
Freedom of speech and science: can companies force us to withdraw data they don't like? J Diabetes Sci Technol (2013) 0.75
Pyruvate therapy for severe hypoglycemia. Diabetes Technol Ther (2005) 0.75
European trends in diabetes technology--continuous glucose measurements and computerized information-processing tools. Diabetes Technol Ther (2002) 0.75
The First Annual Diabetes Technology Meeting--a new forum for accelerating the development of technology to fight diabetes. Diabetes Technol Ther (2002) 0.75
Current, emerging, and future trends in metabolic monitoring. Diabetes Technol Ther (2002) 0.75
The new food and drug administration center for devices and radiological health engineering and physics laboratory and methods for testing software that controls infusion pumps. J Diabetes Sci Technol (2007) 0.75
An adaptive drug infusion system. Diabetes Technol Ther (2004) 0.75
Technology for portable measurement of blood lactate. Diabetes Technol Ther (2003) 0.75