Evidence map›Paper›PMID 39619403›Full record

ArticleJACC. Asia2024

Association of Prepregnancy Cardiometabolic Factors With Gestational Diabetes Among Asian Populations in the United States.

Theresa Boyer, Christine Hsueh, Kevin Sun, Yaa Adoma Kwapong, Arthur Jason Vaught, Justin Echouffo Tcheugui, Elizabeth Selvin, Chiadi E Ndumele, Allison G Hays, Erin D Michos and 2 more

Abstract read
In one paragraph

Article in JACC. Asia, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

12 authors.

Theresa BoyerDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Christine HsuehDivision of Cardiology, Yale University School of Medicine, New Haven, Connecticut, USA.
Kevin SunDivision of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Yaa Adoma KwapongDivision of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Arthur Jason VaughtCiccarone Center for the Prevention of Cardiovascular Diseases, Johns Hopkins University, Baltimore, Maryland, USA.
Justin Echouffo TcheuguiDivision of Maternal Fetal Medicine, Department of Gynecology and Obstetrics, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Elizabeth SelvinDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Chiadi E NdumeleDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Allison G HaysDivision of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Erin D MichosDivision of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Josef CoreshDepartment of Population Health, NYU Grossman School of Medicine, New York, New York, USA.
Anum S MinhasDivision of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.

Funding

CARDIOVASCULAR EPIDEMIOLOGY INSTITUTIONAL TRAININGT32HL007024 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI Elizabeth Selvin · 1985 to 2026
$17.5M
Stress, inflammation and coronary endothelial injury in preeclampsiaR01HL159715 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI HAYS, ALLISON G, VAUGHT, ARTHUR JASON · 2022 to 2025
$2.0M
Research and Mentoring in the Clinical Epidemiology of Cardiovascular Disease and Type 2 DiabetesK24HL152440 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI SELVIN, ELIZABETH · 2020 to 2024
$612k
Intersections of pre-pregnancy cardiometabolic risk factors, preeclampsia and cardiovascular disease in a lifecourse frameworkK23HL171886 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI Anum Minhas · 2024 to 2026
$603k
NHLBI NIH HHS K23 HL171886NHLBI NIH HHS K24 HL152440NHLBI NIH HHS R01 HL159715NHLBI NIH HHS T32 HL007024
6 · The paper itself

Abstract

Background: Asian individuals are among the highest immigrant group to the United States and at particularly high risk of gestational diabetes, which is associated with long-term maternal cardiovascular disease. Limited data are available on the association of prepregnancy cardiometabolic risk factors with gestational diabetes among Asian American subjects. Objectives: This study sought to determine the association of prepregnancy hypertension and body mass index (BMI) among Asian ancestry subgroups and by maternal nativity. Methods: Using data from the National Vital Statistics System from 2016 to 2019, the prevalence of gestational diabetes, stratified according to prepregnancy hypertension and obesity, was examined according to maternal race. Predicted probability of gestational diabetes with continuous BMI was calculated across Asian ancestry subgroups and by maternal nativity. Results: Among 13.3 million pregnancies, gestational diabetes occurred in 6.5%. Asian subjects had the highest prevalence (12.3%). Among those with prepregnancy hypertension, Asian subjects had the highest prevalence (29.3%). Across the range of BMI (18-42 kg/m Conclusions: Asian American individuals have the highest prevalence of gestational diabetes at any BMI and with hypertension. Substantial variation in risk is present across Asian subgroups. Findings suggest a need for more tailored screening and intervention for gestational diabetes among Asian American subjects, with a specific focus on risk for individuals born outside the United States.

Indexed as

cardiometabolicgestational diabetesobesity

Identifiers

PMID39619403
PMCPMC11604471

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.