Objective: To estimate and compare progression rates to type 2 diabetes mellitus (T2DM) in women with gestational diabetes mellitus (GDM) and healthy controls.

Design: Systematic review and meta-analysis.

Data Sources: Medline and Embase between January 2000 and December 2019, studies published in English and conducted on humans.

Eligibility Criteria For Selecting Studies: Observational studies investigating progression to T2DM. Inclusion criteria were postpartum follow-up for at least 12 months, incident physician based diagnosis of diabetes, T2DM reported as a separate outcome rather than combined with impaired fasting glucose or impaired glucose tolerance, and studies with both a group of patients with GDM and a control group.

Results: This meta-analysis of 20 studies assessed a total of 1 332 373 individuals (67 956 women with GDM and 1 264 417 controls). Data were pooled by random effects meta-analysis models, and heterogeneity was assessed by use of the I statistic. The pooled relative risk for the incidence of T2DM between participants with GDM and controls was estimated. Reasons for heterogeneity between studies were investigated by prespecified subgroup and meta-regression analyses. Publication bias was assessed by funnel plots and, overall, studies were deemed to have a low risk of bias (P=0.58 and P=0.90). The overall relative risk for T2DM was almost 10 times higher in women with previous GDM than in healthy controls (9.51, 95% confidence interval 7.14 to 12.67, P<0.001). In populations of women with previous GDM, the cumulative incidence of T2DM was 16.46% (95% confidence interval 16.16% to 16.77%) in women of mixed ethnicity, 15.58% (13.30% to 17.86%) in a predominantly non-white population, and 9.91% (9.39% to 10.42%) in a white population. These differences were not statistically significant between subgroups (white mixed populations, P=0.26; white non-white populations, P=0.54). Meta-regression analyses showed that the study effect size was not significantly associated with mean study age, body mass index, publication year, and length of follow-up.

Conclusions: Women with a history of GDM appear to have a nearly 10-fold higher risk of developing T2DM than those with a normoglycaemic pregnancy. The magnitude of this risk highlights the importance of intervening to prevent the onset of T2DM, particularly in the early years after pregnancy.

Systematic Review Registration: PROSPERO CRD42019123079.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7218708PMC
http://dx.doi.org/10.1136/bmj.m1361DOI Listing

Publication Analysis

Top Keywords

type diabetes
8
gestational diabetes
8
systematic review
8
diabetes mellitus
8
gdm healthy
8
relative risk
8
studies
7
diabetes
5
t2dm
5
gdm
5

Similar Publications

Excessive daytime sleepiness and its predictors among type 2 diabetes mellitus patients at central ethiopia.

Sci Rep

December 2024

Department of Pediatrics and Child Health Nursing, College of Medicine and Health Sciences, Injibara University, Injibara, Ethiopia.

Excessive daytime sleepiness is a common finding among type 2 diabetes mellitus patients. However there is scarce data that shows the magnitude of excessive daytime sleepiness, & its association with type 2 diabetes mellitus. Hence, the study aimed to assess the prevalence of excessive daytime sleepiness and its associated factors among type 2 diabetes mellitus patients at Wolkite University Specialized Hospital.

View Article and Find Full Text PDF

Programmable and modular systems capable of orthogonal genomic and transcriptomic perturbations are crucial for biological research and treating human genetic diseases. Here, we present the minimal versatile genetic perturbation technology (mvGPT), a flexible toolkit designed for simultaneous and orthogonal gene editing, activation, and repression in human cells. The mvGPT combines an engineered compact prime editor (PE), a fusion activator MS2-p65-HSF1 (MPH), and a drive-and-process multiplex array that produces RNAs tailored to different types of genetic perturbation.

View Article and Find Full Text PDF

The genetic and observational nexus between diabetes and arthritis: a national health survey and mendelian randomization analysis.

Nutr Diabetes

December 2024

Department of International Medical, Division of Life Sciences and Medicine, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, China.

Background: Diabetes mellitus (DM) and arthritis are prevalent conditions worldwide. The intricate relationship between these two conditions, especially in the context of various subtypes of arthritis, remains a topic of interest.

Objective: To investigate the relationship between diabetes and arthritis, with a focus on Rheumatoid Arthritis (RA), using data from the National Health and Nutrition Examination Survey (NHANES) and Mendelian Randomization (MR) analysis.

View Article and Find Full Text PDF

Beneficial Effects of Tilapia Fish Skin on Excisional Skin Wound Healing in a Type I Diabetic Rat Model.

J Biomed Mater Res B Appl Biomater

January 2025

Department of Surgery, Anesthesiology and Radiology, Faculty of Veterinary Medicine, Assiut University, Assiut, Egypt.

IntroductionProlonged hyperglycemia in diabetic patients often impairs wound healing, leading to chronic infections and complications. This study aimed to evaluate the potential of fresh Tilapia fish skin as a treatment to enhance wound healing in diabetic rats. MethodsThirty-nine healthy adult albino rats, weighing between 150 and 200 g, were divided into three groups: non-diabetic rats with untreated wounds [C-], diabetic rats with untreated wounds [C+], and diabetic rats treated with fresh Tilapia skin [TT].

View Article and Find Full Text PDF

Global strategies for preventing type 2 diabetes: A public health perspective.

Indian J Med Res

November 2024

Department of Pediatrics, University of Alabama at Birmingham, Division of Pediatric Endocrinology and Diabetes, Alabama, 35233, United States.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!