Evidence mapPaperPMID 42159169Full record

ArticleDiabetes technology & therapeutics2026

Glycemic Outcomes and Device Engagement Over 18 Months Following Initiation of Two Different Automated Insulin Delivery Systems in American Youth With Type 1 Diabetes.

Jayde Hooven-Davis, Ingrid Libman, Scott D Rothenberger, Christine A March

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Article in Diabetes technology & therapeutics, 2026. 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Jayde Hooven-DavisDivision of Pediatric Endocrinology, UPMC Children's Hospital of Pittsburgh, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID 0000-0002-4394-711X
Ingrid LibmanDivision of Pediatric Endocrinology, UPMC Children's Hospital of Pittsburgh, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Scott D RothenbergerDivision of General Internal Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Christine A MarchDivision of Pediatric Endocrinology, UPMC Children's Hospital of Pittsburgh, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.

Funding

Research Training Program for Pediatric Subspecialty FellowsT32HD071834 · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · 2025 to 2025
$530k
Research training in Pediatric EndocrinologyT32DK138882 · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · 2025 to 2025
$314k
NICHD NIH HHS T32 HD071834NIDDK NIH HHS T32 DK138882
6 · The paper itself

Abstract

objectiveWe compared long-term, real-world glycemic outcomes and device engagement in U.S. youth with type 1 diabetes (T1D) using two automated insulin delivery (AID) systems.

methodsWe included youth (ages 6-18) with T1D from a large academic center who started on Insulet Omnipod 5 (OP5) or Tandem Control IQ (CIQ) between January 2020 and June 2024. We collected 30-day continuous glucose monitor and 30-day AID data at baseline and 3, 6, 12, and 18 months following AID initiation. We evaluated change in glycemic metrics and user behaviors (e.g., self-initiated bolusing and carbohydrate entry) by system using separate multivariable linear regression models at each time point while adjusting for baseline factors (age, sex, insulin regimen prior to AID initiation, diabetes duration, and baseline values for the respective glycemic metric).

resultsAll AID users (

conclusionsAlthough glycemic outcomes are similar between devices over 18 months, AID user engagement changes with time and differs between systems, potentially as they "trust" their device more. Change in carbohydrate entry among CIQ users is likely a major contributor to the decline in TIR with longer duration of AID use.

Indexed as

automated insulin deliverydevice engagementglycemic outcomespediatric type 1 diabetestime in range

Identifiers

PMID42159169
PMCPMC13214057

What Socratic holds

Textmetadata
LicenceTDM
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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.