ReviewJournal of diabetes science and technology2014
Bolus calculators.
Review in Journal of diabetes science and technology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
55 citing papers in PubMed.
- Trial
- Methods for Insulin Bolus Adjustment Based on the Continuous Glucose Monitoring Trend Arrows in Type 1 Diabetes: Performance and Safety Assessment in an In Silico Clinical Trial.Journal of diabetes science and technology · 2023Trial
- Trial
- Bolus Calculator Reduces Hypoglycemia in the Short Term and Fear of Hypoglycemia in the Long Term in Subjects with Type 1 Diabetes (CBMDI Study).Diabetes technology & therapeutics · 2017Trial
- A Randomized Controlled Study of an Insulin Dosing Application That Uses Recognition and Meal Bolus Estimations.Journal of diabetes science and technology · 2017Trial
- The First Use of Bolus Calculator With Speech Analyzer.Journal of diabetes science and technology · 2017Trial
- Randomised Controlled Multicentre Trial to Investigate the Effectiveness of a Mobile Artificial Intelligence Solution for Diabetes Adapted Care: The MELISSA Trial Protocol.Diabetes, obesity & metabolism · 2026Article
- Review
- DAGs and GRaSP Causal Inference Algorithms Combined and Applied to the Calculation of Insulin Bolus in Patients with Type 1 Diabetes.Entropy (Basel, Switzerland) · 2026Article
- Temporal gradient analysis of blood glucose responses to non-standard physical activity: a free-living study in type 1 diabetes.Frontiers in sports and active living · 2026Article
- Safety of a Novel Continuous Glucose Monitoring-Informed Insulin Bolus Calculator Mobile Application for People With Type 1 or Type 2 Diabetes.Diabetes spectrum : a publication of the American Diabetes Association · 2025Article
- Personality in Type 1 Diabetes and the Impact of Personality Traits on the Effects of Introducing Diabetes Technology.Psychology research and behavior management · 2025Article
- Clinical performance of Hedia Diabetes Assistant bolus calculator for diabetes management: a real-world retrospective cohort study.Frontiers in digital health · 2025Article
- Connected Insulin Pens and Pen Caps: Expanding Diabetes Technology Access and Adoption.Diabetes spectrum : a publication of the American Diabetes Association · 2025Article
- Assessing Carbohydrate Counting Accuracy: Current Limitations and Future Directions.Nutrients · 2024Review
- Shining the Spotlight on Multiple Daily Insulin Therapy: Real-World Evidence of the InPen Smart Insulin Pen.Diabetes technology & therapeutics · 2024Article
- Culturally adapted mobile application for optimizing metabolic control in type 1 diabetes: a pilot study.Revista panamericana de salud publica = Pan American journal of public health · 2024Article
- Advantages and disadvantages of connected insulin pens in diabetes management.Endocrine connections · 2023Review
- Performance Effect of Adjusting Insulin Sensitivity for Model-Based Automated Insulin Delivery Systems.Journal of diabetes science and technology · 2023Article
- Manual and Application-Based Carbohydrate Counting and Glycemic Control in Type 1 Diabetes Subjects: A Narrative Review.Healthcare (Basel, Switzerland) · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Matching meal insulin to carbohydrate intake, blood glucose, and activity level is recommended in type 1 diabetes management. Calculating an appropriate insulin bolus size several times per day is, however, challenging and resource demanding. Accordingly, there is a need for bolus calculators to support patients in insulin treatment decisions. Currently, bolus calculators are available integrated in insulin pumps, as stand-alone devices and in the form of software applications that can be downloaded to, for example, smartphones. Functionality and complexity of bolus calculators vary greatly, and the few handfuls of published bolus calculator studies are heterogeneous with regard to study design, intervention, duration, and outcome measures. Furthermore, many factors unrelated to the specific device affect outcomes from bolus calculator use and therefore bolus calculator study comparisons should be conducted cautiously. Despite these reservations, there seems to be increasing evidence that bolus calculators may improve glycemic control and treatment satisfaction in patients who use the devices actively and as intended.
Indexed as
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.