Evidence map›Paper›PMID 33719610›Full record

ArticleJournal of diabetes science and technology2021

Racial Disparities in Diabetes Technology Use and Outcomes in Type 1 Diabetes in a Safety-Net Hospital.

Kathryn L Fantasia, Kamonkiat Wirunsawanya, Christopher Lee, Ivania Rizo

Registry-linked trialOpen access · bronzeAbstract read
In one paragraph

Article in Journal of diabetes science and technology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06638099 (Increasing Use of Continuous Glucose Monitors Among Patients With Type 2 Diabetes), which is not on this map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
5.4field-weighted citation impact, top 3% of its field
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.

NCT06638099 nacompletednot on this mapstarted 2024, after this paper: background citation

Increasing Use of Continuous Glucose Monitors Among Patients With Type 2 Diabetes

TypeinterventionalSponsorSan Diego State UniversityRan2024 to 2026Enrolled195ConditionsDiabetes, Diabetes Mellitus, Diabetes Mellitus Type 2, Diabetes Mellitus Type 2 (T2DM)ArmsCGM Toolkit Prescriber Training
3 · Its place in the literature

Who cites it

42 citing papers in PubMed, 56 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Kathryn L FantasiaSection of Endocrinology, Diabetes, and Nutrition, Boston University School of Medicine and Boston Medical Center, Boston, MA, USA.ORCID 0000-0002-2949-9568
Kamonkiat WirunsawanyaSection of Endocrinology, Diabetes, and Nutrition, Boston University School of Medicine and Boston Medical Center, Boston, MA, USA.
Christopher LeeSection of Endocrinology, Diabetes, and Nutrition, Boston University School of Medicine and Boston Medical Center, Boston, MA, USA.
Ivania RizoSection of Endocrinology, Diabetes, and Nutrition, Boston University School of Medicine and Boston Medical Center, Boston, MA, USA.ORCID 0000-0002-3933-9461
Boston University · US

Funding

Project-005UL1TR001430 · NCATS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI BAIR-MERRITT, MEGAN H, CENTER, DAVID M. · 2015 to 2024
$52.3M
TRAINING PROGRAM IN ENDOCRINE AND METABOLIC RESEARCHT32DK007201 · NIDDK · BOSTON UNIVERSITY MEDICAL CAMPUS · PI CORKEY, BARBARA E., KANDROR, KONSTANTIN V · 1986 to 2023
$6.4M
NCATS NIH HHS UL1 TR001430NIDDK NIH HHS T32 DK007201
6 · The paper itself

Abstract

backgroundLimited data exist regarding diabetes technology use among adults with type 1 diabetes (T1D) in urban racially/ethnically diverse safety-net hospitals. We examined racial/ethnic differences in the use of continuous glucose monitor (CGM) and continuous subcutaneous insulin infusion (CSII) in this setting.

methodsA retrospective review of 227 patients ≥ 18 years of age with T1D seen in an urban, safety-net endocrinology clinic during 2016-2017 was completed (mean age: 39; 80% English-speaking; 50% had public insurance). Diabetes technology use, defined as either CGM or CSII or both CGM and CSII, and clinical outcomes were examined by race/ethnicity.

resultsOverall, 30% used CGM and 26% used CSII. After adjusting for age, language, insurance, and annual income, diabetes technology use in non-White patients was significantly lower than in White patients, predominantly lower in Black (aOR 0.25 [95% CI 0.11-0.56]) and patients identified as other race/ethnicity (aOR 0.30 [95% CI 0.11-0.77]). At the highest household income level (≥$75,000/y), Black and Hispanic individuals were significantly less likely than White individuals to use diabetes technology (

conclusionsRacial/ethnic disparities in diabetes technology use and glycemic control were observed even after adjusting for sociodemographic factors. Further research should explore barriers to accessing diabetes technology in non-White populations.

Indexed as

Diabetes Mellitus, Type 1Healthcare DisparitiesAdultBlack or African AmericanGlycated HemoglobinHispanic or LatinoHumansHypoglycemic AgentsInsulinInsulin Infusion SystemsRetrospective StudiesSafety-net ProvidersTechnologyWhite PeopleGlycated HemoglobinHypoglycemic AgentsInsulindiabetes technologyhealth care disparitiessafety-net hospitaltype 1 diabetes mellitus

Identifiers

PMID33719610
PMCPMC8442173
OpenAlexW3134642622

What OpenQuestion holds

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Registered trials

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.