Evidence map›Paper›PMID 36753706›Full record

ArticleDiabetes technology & therapeutics2023

Disparities in Continuous Glucose Monitoring Use Among Women of Reproductive Age with Type 1 Diabetes in the T1D Exchange.

Kartik K Venkatesh, Camille E Powe, Elizabeth Buschur, Jiqiang Wu, Mark B Landon, Steven Gabbe, Kajal Gandhi, William A Grobman, Naleef Fareed

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Diabetes technology & therapeutics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.2field-weighted citation impact, top 5% 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.

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

9 citing papers in PubMed, 21 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

9 authors at 2 institutions in 1 country.

Kartik K VenkateshDepartment of Obstetrics and Gynecology, The Ohio State University, Columbus, Ohio, USA.
Camille E PoweDepartment of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Elizabeth BuschurDepartment of Medicine, The Ohio State University, Columbus, Ohio, USA.
Jiqiang WuDepartment of Obstetrics and Gynecology, The Ohio State University, Columbus, Ohio, USA.
Mark B LandonDepartment of Obstetrics and Gynecology, The Ohio State University, Columbus, Ohio, USA.
Steven GabbeDepartment of Obstetrics and Gynecology, The Ohio State University, Columbus, Ohio, USA.
Kajal GandhiDepartment of Pediatrics, The Ohio State University, Columbus, Ohio, USA.
William A GrobmanDepartment of Obstetrics and Gynecology, The Ohio State University, Columbus, Ohio, USA.
Naleef FareedDepartment of Biomedical Informatics, The Ohio State University, Columbus, Ohio, USA.
The Ohio State University · USHarvard University · US

Funding

ACHIEVE: Successfully achieving and maintaining euglycemia during pregnancy for type 2 diabetes through technology and coachingR01HS028822 · AHRQ · OHIO STATE UNIVERSITY · PI FAREED, NALEEF, JOSEPH, JOSHUA J · 2022 to 2024
$1.2M
AHRQ HHS R01 HS028822
6 · The paper itself

Abstract

We identified characteristics associated with continuous glucose monitoring (CGM) use in women of reproductive age with type 1 diabetes (T1D) in the T1D Exchange clinic registry from 2015 to 2018. Among 6643 assessed women, the frequency of CGM increased from 2015 to 2018 (20.6% vs. 30.0%; adjusted odds ratios [aOR]: 1.72; confidence interval [95% CI]: 1.51-1.95) and was more likely with recent pregnancy (45.3% vs. 25.8%; aOR: 1.63; 95% CI: 1.23-2.16). Non-Hispanic Black and Hispanic race and ethnicity, younger age, lower educational attainment, lower income, and Medicaid insurance were associated with lower odds of CGM. The use of CGM was associated with lower odds of diabetic ketoacidosis and lower hemoglobin A1c without any difference in the odds of symptomatic severe hypoglycemia. In conclusion, although CGM use was associated with better glycemic control, the majority of reproductive-age women still did not use it. Those who did not use CGM were more likely to be those at greatest risk of adverse pregnancy outcomes.

Indexed as

Diabetes Mellitus, Type 1HypoglycemiaBlood GlucoseBlood Glucose Self-MonitoringFemaleGlycated HemoglobinHumansPregnancyBlood GlucoseGlycated HemoglobinContinuous glucose monitoringDisparitiesPericonceptionPregnancyType 1 diabetesWomen

Identifiers

PMID36753706
PMCPMC9983140
OpenAlexW4319459015

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.