Research

Hormonal

A non-carbohydrate counting (non-CC) meal bolus strategy based on preprandial glucose levels, when used with open-source automated insulin delivery (AID), significantly improves time in range (TIR) and reduces glycemic variability compared to manual open-loop modes in adults with Type 1 Diabetes.

If you have Type 1 Diabetes and find carbohydrate counting stressful or error-prone, consider using an open-source automated insulin delivery system (like AndroidAPS) with a simplified bolus strategy. Instead of counting carbs, you calculate your insulin based on your pre-meal glucose level and your average mealtime insulin needs. This approach can significantly improve your time in range and reduce glycemic variability, especially at night, without increasing the risk of hypoglycemia. It is a viable alternative for those who find traditional carb counting burdensome.

GoodSupportsHIGH confidence
A non-CC meal bolus strategy based on preprandial glucose in adults with T1D utilizing open-source AID effectively prevents glycemic excursions and maintains a mean TIR over 70%.
Yunying Cai et al. · Diabetes Technology & Therapeutics · 2025

Why this rating

Randomized crossover trial with 28 participants, statistically significant results, but short duration (2 weeks per phase) and single-center design.

Source

Efficacy and Safety of a Non-Carbohydrate Counting Meal Bolus Strategy in Adults with Type 1 Diabetes Using Open-Source Automated Insulin Delivery

Yunying Cai et al. · Diabetes Technology & Therapeutics · 2025

DOI 10.1089/dia.2024.0591

crossover · n=28Cited 2×
Read the paper
DOI resolved against Crossref · corpus check 2026-06-10

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