Evaluating Insulin Delivery Systems Using Dynamic Glucose Region Plots and Risk Space Analysis.

Klavs W Hansen, Mia Christensen, Sanne Fisker, Ermina Bach, Bo M Bibby

Abstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in

0citing papers in PubMed

–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.

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Klavs W HansenDepartment of Clinical Medicine, Aarhus University, Palle Juul-Jensens Boulevard 82, 8200 Aarhus, Denmark.ORCID 0000-0002-7452-2747

Mia ChristensenMedical Diagnostic Center, Silkeborg Regional Hospital, Falkevej 1, 8600 Silkeborg, Denmark.ORCID 0009-0002-6344-1260

Sanne FiskerSteno Diabetes Center Aarhus, Aarhus University Hospital, Palle Juul Jensens Boulevard 11, 8200 Aarhus, Denmark.ORCID 0009-0008-0189-7282

Ermina BachSteno Diabetes Center Aarhus, Aarhus University Hospital, Palle Juul Jensens Boulevard 11, 8200 Aarhus, Denmark.

Bo M BibbySection for Biostatistics, Department of Public Health, Aarhus University, Bartholins Allé 2, 8000 Aarhus, Denmark.ORCID 0000-0002-4742-4076

Funding

The Rosa and Asta Jensen Foundation financially supported the study. 1-16-2-68-22

6 · The paper itself

Abstract

Simultaneous values of glucose rate of change (RoC) and glucose can be presented in a dynamic glucose region plot, and risk spaces can be specified for (RoC, glucose) values expected to remain in the target range (glucose 3.9-10.0 mmol/L) or leave or return to the target range within the next 30 min. We downloaded continuous glucose monitoring (CGM) data for 60 days from persons with type 1 diabetes using two different systems for automated insulin delivery (AID), A (n = 65) or B (n = 85). The relative distribution of (RoC, glucose) values in risk spaces was compared. The fraction of all (RoC, glucose) values anticipated to remain in the target range in the next 30 min was higher with system A (62.5%) than with system B (56.8%) (difference 5.7, 95% CI (2.2-9.2%),

Indexed as

Blood GlucoseDiabetes Mellitus, Type 1InsulinInsulin Infusion SystemsAdultBlood Glucose Self-MonitoringFemaleHumansMaleMiddle AgedBlood GlucoseInsulinautomated insulin deliverycontinuous glucose monitoringdynamic glucose region plotsglucose rate of changerisk space analysistype 1 diabetes

Identifiers

PMID40807953

DOI10.3390/s25154788

PMCPMC12349224

What Socratic holds

Textmetadata

LicenceCC BY

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Registered trials

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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.