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Artificial Pancreas Systems: Efficacy Of Closed-Loop Systems In Type 1 Diabetes: A Systematic Review

Faris Meshal Almohammadi

The Review of Diabetic Studies, 2025

124 participants · 1 citation

Abstract

Background: Type 1 diabetes mellitus (T1D) is a chronic autoimmune condition requiring lifelong insulin therapy. Despite advances in insulin delivery, achieving near-physiological glucose control remains challenging due to glycemic variability and hypoglycemia risk. Closed-loop artificial pancreas (AP) systems integrate continuous glucose monitoring, insulin pumps, and automated algorithms to maintain glucose within target ranges.

Objective: To systematically evaluate the efficacy and safety of closed-loop insulin delivery systems in individuals with T1D, focusing on glycemic outcomes, time-in-range (TIR), HbA1c reduction, and adverse events.

Methods: A systematic search was conducted in PubMed, Scopus, Web of Science, Embase, and Google Scholar for studies published between 2010 and 2025. Randomized controlled trials, crossover trials, and single-arm intervention studies assessing closed-loop or hybrid AP systems in T1D populations were included. Data extraction focused on study design, participant characteristics, algorithm type, glycemic outcomes, and safety.

Results: Ten studies encompassing 14–124 participants aged 6–75 years met inclusion criteria. Closed-loop systems consistently improved TIR by 6–15 percentage points, reduced HbA1c by 0.3–0.6%, and decreased hypoglycemia by 30–60%. Hybrid and model predictive control algorithms demonstrated comparable efficacy, while adaptive systems allowed personalized basal insulin adjustment. Adverse events were minor and…

How strong is the evidence?

Evidence Hub reads this as a systematic review, done in people. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid. Reported size: 124 participants or records.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

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