Evidence map›Paper›PMID 37782847›Full record

ArticleDiabetes care2024

Association of Continuous Glucose Monitoring Metrics With Pregnancy Outcomes in Patients With Preexisting Diabetes.

Ayodeji A Sanusi, Yumo Xue, Claire McIlwraith, Hannah Howard, Brian E Brocato, Brian Casey, Jeff M Szychowski, Ashley N Battarbee

Open access · bronzeAbstract read
In one paragraph

Article in Diabetes care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
13.9field-weighted citation impact, top 1% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Ayodeji A SanusiCenter for Women's Reproductive Health, The University of Alabama at Birmingham, Birmingham, AL.ORCID 0000-0002-8263-5776
Yumo XueDepartment of Biostatistics, The University of Alabama at Birmingham, Birmingham, AL.
Claire McIlwraithDepartment of Obstetrics and Gynecology, The University of Alabama at Birmingham, Birmingham, AL.
Hannah HowardSchool of Medicine, The University of Alabama at Birmingham, Birmingham, AL.
Brian E BrocatoCenter for Women's Reproductive Health, The University of Alabama at Birmingham, Birmingham, AL.
Brian CaseyCenter for Women's Reproductive Health, The University of Alabama at Birmingham, Birmingham, AL.
Jeff M SzychowskiCenter for Women's Reproductive Health, The University of Alabama at Birmingham, Birmingham, AL.
Ashley N BattarbeeCenter for Women's Reproductive Health, The University of Alabama at Birmingham, Birmingham, AL.ORCID 0000-0002-4837-8059
University of Alabama at Birmingham · US

Funding

Close the GAP: Glycemic control after Antenatal corticosteroids in women with Pregestational diabetesK23HD103875 · NICHD · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BATTARBEE, ASHLEY NICOLE · 2021 to 2025
$826k
NICHD NIH HHS K23 HD103875
6 · The paper itself

Abstract

objectiveContinuous glucose monitoring (CGM) improves maternal glycemic control and neonatal outcomes in type 1 diabetes pregnancies compared with self-monitoring of blood glucose. However, CGM targets for pregnancy are based on expert opinion. We aimed to evaluate the association between CGM metrics and perinatal outcomes and identify evidence-based targets to reduce morbidity. RESEARCH DESIGN AND

methodsThis was a retrospective cohort study of pregnant patients with type 1 or 2 diabetes who used real-time CGM and delivered at a U.S. tertiary center (2018-2021). Multiple gestations, fetal anomalies, and early pregnancy loss were excluded. Exposures included time in range (TIR; 65-140 mg/dL), time above range (TAR), time below range (TBR), glucose variability, average glucose, and glucose management indicator. The primary outcome was a composite of fetal or neonatal mortality, large or small for gestational age at birth, neonatal intensive care unit admission, hypoglycemia, shoulder dystocia or birth trauma, and hyperbilirubinemia. Logistic regression estimated the association between CGM metrics and outcomes, and optimal TIR was calculated.

resultsOf 117 patients, 16 (13.7%) used CGM before pregnancy and 68 (58.1%) had type 1 diabetes. Overall, 98 patients (83.8%) developed the composite neonatal outcome. All CGM metrics, except TBR, were associated with neonatal morbidity. For each 5 percentage-point increase in TIR, there was 28% reduced odds of neonatal morbidity (odds ratio 0.72, 95% CI 0.58-0.89). The statistically optimal TIR was 66-71%.

conclusionsNearly all CGM metrics were associated with adverse neonatal morbidity and mortality and may aid management of preexisting diabetes in pregnancy. Our findings support the American Diabetes Association recommendation of 70% TIR.

Indexed as

Diabetes Mellitus, Type 1Pregnancy OutcomeBlood GlucoseBlood Glucose Self-MonitoringContinuous Glucose MonitoringFemaleGlucoseHumansInfant, NewbornPregnancyRetrospective StudiesBlood GlucoseGlucose

Identifiers

PMID37782847
PMCPMC10733654
OpenAlexW4387245394

What Socratic 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 Socratic graph.