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Gestational diabetes and the risk of cardiovascular disease in women: a systematic review and meta-analysis
by
Kramer, Caroline K
, Campbell, Sara
, Retnakaran, Ravi
in
Cardiovascular disease
/ Cardiovascular diseases
/ Data processing
/ Diabetes
/ Diabetes mellitus
/ Diabetes mellitus (non-insulin dependent)
/ Evidence-based medicine
/ Gestational diabetes
/ Health risk assessment
/ Meta-analysis
/ Postpartum
/ Pregnancy
/ Regression analysis
/ Sensitivity analysis
/ Systematic review
/ Womens health
2019
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Gestational diabetes and the risk of cardiovascular disease in women: a systematic review and meta-analysis
by
Kramer, Caroline K
, Campbell, Sara
, Retnakaran, Ravi
in
Cardiovascular disease
/ Cardiovascular diseases
/ Data processing
/ Diabetes
/ Diabetes mellitus
/ Diabetes mellitus (non-insulin dependent)
/ Evidence-based medicine
/ Gestational diabetes
/ Health risk assessment
/ Meta-analysis
/ Postpartum
/ Pregnancy
/ Regression analysis
/ Sensitivity analysis
/ Systematic review
/ Womens health
2019
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While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Gestational diabetes and the risk of cardiovascular disease in women: a systematic review and meta-analysis
by
Kramer, Caroline K
, Campbell, Sara
, Retnakaran, Ravi
in
Cardiovascular disease
/ Cardiovascular diseases
/ Data processing
/ Diabetes
/ Diabetes mellitus
/ Diabetes mellitus (non-insulin dependent)
/ Evidence-based medicine
/ Gestational diabetes
/ Health risk assessment
/ Meta-analysis
/ Postpartum
/ Pregnancy
/ Regression analysis
/ Sensitivity analysis
/ Systematic review
/ Womens health
2019
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Gestational diabetes and the risk of cardiovascular disease in women: a systematic review and meta-analysis
Journal Article
Gestational diabetes and the risk of cardiovascular disease in women: a systematic review and meta-analysis
2019
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Overview
Aims/hypothesisWomen who develop gestational diabetes mellitus (GDM) have an elevated lifetime risk of type 2 diabetes mellitus. Recently, a series of studies has suggested that women with GDM also have an increased risk of cardiovascular disease (CVD). However, it is unclear if this risk is dependent upon the intercurrent development of type 2 diabetes. Thus, we conducted a systematic review and meta-analysis to evaluate the impact of GDM on future risk of incident CVD and to ascertain the role of type 2 diabetes in this regard.MethodsWe systematically searched the PubMed and EMBASE databases for observational studies that evaluated the association of GDM with subsequent CVD, with publication between 1 January 1950 and 30 August 2018. Two independent reviewers extracted data and the analysis was performed in accordance with Meta-analysis of Observational Studies in Epidemiology (MOOSE) guidelines. RRs were calculated using a random-effects model to assess the predictive value of GDM for future cardiovascular events. To evaluate whether incident type 2 diabetes in the GDM population influenced the association with CVD, we used meta-regression models followed by sensitivity analyses restricted to women who did not develop type 2 diabetes during follow-up.ResultsA pooled analysis of nine studies yielded data from 5,390,591 women (101,424 cardiovascular events). Compared with those who did not have GDM, women with GDM had a twofold higher risk of future cardiovascular events (RR 1.98 [95% CI 1.57, 2.50]). Meta-regression analysis showed that the rates of incident type 2 diabetes across the studies did not affect this risk (p = 0.34). Moreover, when restricted to women who did not develop type 2 diabetes, GDM remained associated with a 56% higher risk of future cardiovascular events (RR 1.56 [95% CI 1.04, 2.32]). GDM conferred a 2.3-fold increased risk of cardiovascular events in the first decade postpartum (RR 2.31 [95% CI 1.57, 3.39]).Conclusions/interpretationThe diagnosis of GDM identifies young women who have a twofold higher risk of cardiovascular events postpartum compared with their peers. This risk is not dependent upon intercurrent type 2 diabetes and is apparent within the first decade after pregnancy. Thus, even without progressing to type 2 diabetes, women with GDM comprise an at-risk population for CVD and hence a potential opportunity for early risk factor surveillance and risk modification.
Publisher
Springer Nature B.V
Subject
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