Evidence map›Paper›PMID 40290832›Full record

ArticleClinical diabetes : a publication of the American Diabetes Association2025

Development of a Diabetes Navigator Toolkit to Support Diabetes Technology Uptake: The IMPACT Toolkit.

Risa M Wolf, Neha Parimi, Defne Alver, Bernard Pan, Abby Liu, Thalia Liu, Milana Klopouh, Aniket Sidhaye, Kristin A Riekert, Nestoras Mathioudakis

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In one paragraph

Article in Clinical diabetes : a publication of the American Diabetes Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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.

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

5 citing papers in PubMed.

  1. Article
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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

10 authors.

Risa M WolfDivision of Endocrinology, Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD.ORCID https://orcid.org/0000-0001-7674-520X
Neha ParimiDivision of Endocrinology, Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD.
Defne AlverDivision of Endocrinology, Diabetes, & Metabolism, Johns Hopkins University School of Medicine, Baltimore, MD.
Bernard PanDivision of Endocrinology, Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD.
Abby LiuDivision of Endocrinology, Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD.
Thalia LiuDivision of Endocrinology, Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD.
Milana KlopouhDivision of Endocrinology, Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD.
Aniket SidhayeDivision of Endocrinology, Diabetes, & Metabolism, Johns Hopkins University School of Medicine, Baltimore, MD.
Kristin A RiekertDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD.
Nestoras MathioudakisDivision of Endocrinology, Diabetes, & Metabolism, Johns Hopkins University School of Medicine, Baltimore, MD.ORCID https://orcid.org/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

Advanced diabetes technologies (ADTs), including continuous glucose monitoring devices, insulin pumps, and automated insulin delivery systems, improve glycemic control in type 1 diabetes but are underutilized, particularly in minority and underserved populations. This article reports on a qualitative study to develop a diabetes toolkit. Participants identified barriers to the use of ADTs and proposed solutions to these barriers, which were then incorporated into a diabetes toolkit designed for use by a diabetes navigator or other diabetes care team members seeking to improve the uptake and sustained use of ADTs.

Identifiers

PMID40290832
PMCPMC12019008

What OpenQuestion holds

Textmetadata
Read underepoch 390

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 OpenQuestion graph.