Evidence map›Paper›PMID 41615464›Full record

ArticleJournal of diabetes science and technology2026

Factors Associated With Time to Automated Insulin Delivery System Initiation in Adults With Type 1 Diabetes on Multiple Daily Injections.

Yllka Valdez, Neha Parimi, Yoohee Claire Kim, Elizabeth A Brown, Aniket Sidhaye, Risa M Wolf, Nestoras Mathioudakis

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of diabetes science and technology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Yllka ValdezDivision of Endocrinology, Diabetes, and Metabolism, Johns Hopkins University School of Medicine, Baltimore, MD, USA.ORCID 0009-0002-7305-4491
Neha ParimiDivision of Endocrinology, Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, USA.ORCID 0000-0003-1338-8270
Yoohee Claire KimDivision of Endocrinology, Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Elizabeth A BrownDivision of Endocrinology, Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Aniket SidhayeDivision of Endocrinology, Diabetes, and Metabolism, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Risa M WolfDivision of Endocrinology, Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, USA.ORCID 0000-0001-7674-520X
Nestoras MathioudakisDivision of Endocrinology, Diabetes, and Metabolism, Johns Hopkins University School of Medicine, Baltimore, MD, USA.ORCID 0000-0002-0210-655X

Funding

Implementation of a diabetes navIgator to Mitigate disPArities and improve CGM upTake and sustained use across the lifespan of T1D (IMPACT T1D)R01DK134955 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI MATHIOUDAKIS, NESTORAS N, WOLF, RISA MICHELLE · 2022 to 2025
$1.8M
NIDDK NIH HHS R01 DK134955
6 · The paper itself

Abstract

introductionAutomated insulin delivery (AID) systems for type 1 diabetes (T1D) improve HbA1C, increase time-in-range, and reduce hypoglycemia. However, starting AID systems involves multiple steps, from decision to initiation. This study quantified time to AID initiation (TT-AID) and factors influencing the timeline.

methodsThis retrospective study included adults with T1D at an academic diabetes center in Baltimore, Maryland who were on multiple daily injections and initiated an AID system for the first time since diagnosis from May 2022 to March 2025. Demographics and dates of AID decision, AID selection visit (optional), prescription, training, and initiation were extracted from electronic medical records. Time to AID initiation was measured, with differences by insurance and AID selection visit assessed using Wilcoxon rank-sum and log-rank tests.

resultsParticipants included 114 adults with T1D [median age 38.9 years, 57% male, 21% Black, 75% commercial insurance, median diabetes duration 10.2 years (IQR = 3.5, 18.1)]. The median TT-AID was 89.5 days (IQR = 49, 132). The longest delay was between decision and training [median: 82.5 days (IQR = 43, 122)]. Patients attending the optional AID selection visit had significantly longer TT-AID compared with those who did not [112 (IQR = 79, 144) vs 55 (IQR = 35, 98) days,

conclusionAdults took roughly 3 months to initiate AID, with longer delays among those with public insurance and those attending AID selection visits. Streamlining AID system initiation may reduce delays and optimize outcomes.

Indexed as

AID initiation processautomated insulin deliverydiabetes technologyinsulin pump therapytype 1 diabetes

Identifiers

PMID41615464
PMCPMC12858379

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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 OpenQuestion graph.