Evidence map›Paper›PMID 29049820›Full record

Observational studyJAMA internal medicine2017

Association of History of Gestational Diabetes With Long-term Cardiovascular Disease Risk in a Large Prospective Cohort of US Women.

Deirdre K Tobias, Jennifer J Stuart, Shanshan Li, Jorge Chavarro, Eric B Rimm, Janet Rich-Edwards, Frank B Hu, JoAnn E Manson, Cuilin Zhang

Open access · bronzeAbstract readObservational Study
In one paragraph

Observational study in JAMA internal medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 162 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
162citing papers in PubMed, 10 pooled it
22.5field-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

162 citing papers in PubMed, 10 syntheses or guidelines pooled it, 317 citations in OpenAlex.

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102 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 1 country.

Deirdre K TobiasDivision of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
Jennifer J StuartDepartment of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.
Shanshan LiBoston University School of Medicine, Boston, Massachusetts.
Jorge ChavarroDepartment of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.
Eric B RimmDepartment of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.
Janet Rich-EdwardsDepartment of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.
Frank B HuDepartment of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.
JoAnn E MansonDivision of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
Cuilin ZhangBoston University School of Medicine, Boston, Massachusetts.
Harvard University · USBoston University · USBrigham and Women's Hospital · USEunice Kennedy Shriver National Institute of Child Health and Human Development · US

Funding

Diabetes & Women's Health Study: long term health implications of GDMZIAHD008916 · NICHD · EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT · PI YEUNG, EDWINA · 2011 to 2022
$3.3M
Metabolomics and type 2 diabetes risk among high-risk women with a history of gestational diabetesK01DK103720 · NIDDK · BRIGHAM AND WOMEN'S HOSPITAL · PI TOBIAS, DEIRDRE KAY · 2014 to 2016
$396k
NIDDK NIH HHS K01 DK103720
6 · The paper itself

Abstract

Importance: Previous studies identify gestational diabetes (GD) as a risk factor for intermediate markers of cardiovascular disease (CVD) risk; however, few are prospective, evaluate hard CVD end points, or account for shared risk factors including body weight and lifestyle. Objective: To prospectively evaluate history of GD in relation to incident CVD risk. Design, Setting, and Participants: The Nurses' Health Study II (NHS II) is an observational cohort study of US female nurses established in 1989, with ongoing follow-up. Biennial questionnaires updated behavioral characteristics, health outcomes, and lifestyle factors. Multivariable Cox models estimated the hazard ratio (HR) and 95% CI for CVD risk. We included 89 479 women who reported at least 1 pregnancy and were free of CVD and cancer at baseline. Follow-up through May 31, 2015, was complete for more than 90% of eligible participants. Exposures: History of GD was self-reported at baseline (1989) via questionnaire and updated every 2 years. Main Outcomes and Measures: We observed 1161 incident self-reported nonfatal or fatal myocardial infarction or stroke, confirmed via medical records. Results: Participants had a mean (SD) age of 34.9 (4.7) years. Adjusting for age, prepregnancy body mass index, and other covariates, GD vs no GD was associated with subsequent CVD (HR, 1.43; 95% CI, 1.12-1.81). Additional adjustment for weight gain since pregnancy and updated lifestyle factors attenuated the association (HR, 1.29; 95% CI, 1.01-1.65). Classifying GD by progression to T2D in relation to CVD risk indicated a positive association for GD with progression to T2D vs no GD or T2D (HR, 4.02; 95% CI, 1.94-8.31), and an attenuated relationship for GD only (HR, 1.30; 95% CI, 0.99-1.71). Conclusions and Relevance: Gestational diabetes was positively associated with CVD later in life, although the absolute rate of CVD in this younger cohort of predominantly white women was low. This relationship is possibly mediated in part by subsequent weight gain and lack of healthy lifestyle.

Indexed as

AdultCardiovascular DiseasesDiabetes, GestationalFemaleHealthy LifestyleHumansPregnancyProspective StudiesRisk FactorsSurveys and QuestionnairesUnited StatesWeight Gain

Identifiers

PMID29049820
PMCPMC5820722
OpenAlexW2765330150

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.