Evidence mapPaperPMID 40666106Full record

ArticleFrontiers in digital health2025

One-year evaluation of automated insulin delivery systems in adults with type 1 diabetes.

Pedro Pujante, Ana Victoria García, Elsa Villa-Fernández, Miguel García-Villarino, Tomás González-Vidal, Lucía Díaz-Naya, Gala Gutiérrez Buey, Brenda Veiguela, Diego Rivas-Otero, Edelmiro Menéndez-Torre and 3 more

Abstract read
In one paragraph

Article in Frontiers in digital health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Pedro Pujante *Department of Endocrinology and Nutrition, Hospital Universitario Central de Asturias, Oviedo, Spain.
Ana Victoria García *Grupo de Endocrinología, Nutrición, Diabetes y Obesidad, Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain.
Elsa Villa-FernándezGrupo de Endocrinología, Nutrición, Diabetes y Obesidad, Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain.
Miguel García-VillarinoGrupo de Endocrinología, Nutrición, Diabetes y Obesidad, Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain.
Tomás González-VidalDepartment of Endocrinology and Nutrition, Hospital Universitario Central de Asturias, Oviedo, Spain.
Lucía Díaz-NayaGrupo de Endocrinología, Nutrición, Diabetes y Obesidad, Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain.
Gala Gutiérrez BueyGrupo de Endocrinología, Nutrición, Diabetes y Obesidad, Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain.
Brenda VeiguelaGrupo de Endocrinología, Nutrición, Diabetes y Obesidad, Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain.
Diego Rivas-OteroDepartment of Endocrinology and Nutrition, Hospital Universitario Central de Asturias, Oviedo, Spain.
Edelmiro Menéndez-TorreDepartment of Endocrinology and Nutrition, Hospital Universitario Central de Asturias, Oviedo, Spain.
Elías DelgadoDepartment of Endocrinology and Nutrition, Hospital Universitario Central de Asturias, Oviedo, Spain.
Jessica AresDepartment of Endocrinology and Nutrition, Hospital Universitario Central de Asturias, Oviedo, Spain.
Carmen LambertGrupo de Endocrinología, Nutrición, Diabetes y Obesidad, Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: This study evaluates the effectiveness of four commercially available automated insulin delivery (AID) systems in routine clinical practice for type 1 diabetes management and compares their first-year outcomes. Materials: This retrospective study (October 2020-October 2023) included glucometric data from type 1 diabetes patients collected from the Asturias Automatic Insulin Devices Registry. People with type 1 diabetes using four different AID systems [Minimed™780G (MM780G), Accu-Chek® Insight-Diabeloop (DBLG), Tandem-Control-IQ, and Ypsopump Cambridge HCL-app (Cam-APS)] were included in the study. Primary outcomes were glycaemic control after one year. Secondary outcomes compared the results between the four systems. Results: 174 patients (60: MM780G, 45: DBLG, 30: Control-IQ, 39: Cam-APS), aged 18-73, predominantly women, were enrolled. At baseline, glycemic control, measured by the achievement of the international consensus targets [TBR (Time Below Range) <4%; TIR(Time in Range) >70% and TAR (Time Above Range) <25%] was only met by 9.72% of participants, while after 1 year of an AID system use, it improved to more than 52%. When comparing between systems, TIR improved significantly after 1 year in all systems. However, Control-IQ did not show improvement in mean glucose and Glucose management index (GMI) and only users of DBLG showed improvement in coefficient of variation (CV). MM780G users achieved the best results after 12 months in mean glucose, TIR and GMI. However, their baseline situation was also better than that of the other groups. Discussion: This study confirms that, after 12 months of routine clinical use, the use of commercially available automated insulin delivery (AID) systems significantly improves glycemic control in individuals with type 1 diabetes. However, the degree of improvement varies depending on the specific system used.These findings underscore the importance of selecting and optimizing AID systems individually to maximize clinical benefits in type 1 diabetes management.

Indexed as

automated insulin deliverydiabetes technologyhybrid close loopinsulintype 1 diabetes

Identifiers

PMID40666106
PMCPMC12259683

What Socratic holds

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LicenceCC BY
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Registered trials

None linked

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 Socratic graph.