Evidence map›Paper›PMID 38385093›Full record

ArticleDiabetes spectrum : a publication of the American Diabetes Association2024

Demographic Variables Associated With Diabetes Technology Awareness or Use in Adults With Type 2 Diabetes.

Yuting Ye, Bernardo A Acevedo Mendez, Stephanie Izard, Alyson K Myers

Abstract read
In one paragraph

Article in Diabetes spectrum : a publication of the American Diabetes Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Yuting YeDepartment of Medicine, North Shore University Hospital, Northwell Health, Manhasset, NY.ORCID https://orcid.org/0000-0003-3380-9239
Bernardo A Acevedo MendezDepartment of Medicine, North Shore University Hospital, Northwell Health, Manhasset, NY.
Stephanie IzardQuantitative Intelligence, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY.
Alyson K MyersDonald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY.ORCID https://orcid.org/0000-0002-9973-6653

Funding

New York Regional Center for Diabetes Translation Research - Translational Intervention Methodology CoreP30DK111022 · NIDDK · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI JEFFREY GONZALEZ · 2016 to 2026
$7.8M
NIDDK NIH HHS P30 DK111022
6 · The paper itself

Abstract

Background: Studies in populations with type 1 diabetes highlight racial/ethnic disparities in the use of diabetes technology; however, little is known about disparities among those with type 2 diabetes. This project investigates the racial/ethnic and socioeconomic disparities in diabetes technology awareness and use in adults with type 2 diabetes in the ambulatory setting. Methods: Adults ≥40 years of age with type 2 diabetes in ambulatory care were invited to participate via an e-mail link to a de-identified REDCap (Research Electronic Data Capture) questionnaire. Variables, including awareness and use of continuous glucose monitoring (CGM) and insulin pumps, were summarized descriptively using frequencies and percentages and were compared across racial/ethnic groups, education level, and income using Pearson χ Results: The study included 116 participants, most of whom (62%) were White, elderly Medicare recipients. Compared with White participants, those of racially/ethnically minoritized groups were less likely to be aware of CGM ( Conclusion: This cross-sectional analysis suggests that racially/ethnically minoritized groups and individuals with lower education have less awareness of CGM or insulin pumps.

Identifiers

PMID38385093
PMCPMC10877207

What OpenQuestion holds

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Read underepoch 390

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 OpenQuestion graph.