SynthesisAmerican journal of epidemiology2017
Original Findings and Updated Meta-Analysis for the Association Between Maternal Diabetes and Risk for Congenital Heart Disease Phenotypes.
Synthesis in American journal of epidemiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 7 of them syntheses that pooled it.
What it found
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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.
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.
Who cites it
47 citing papers in PubMed, 7 syntheses or guidelines pooled it, 90 citations in OpenAlex.
- Association Between Maternal Factors and Risk of Congenital Heart Disease in Offspring: A Systematic Review and Meta-Analysis.Maternal and child health journal · 2023Pooled it
- Assessment of evidence on reported non-genetic risk factors of congenital heart defects: the updated umbrella review.BMC pregnancy and childbirth · 2022Pooled it
- Risks of specific congenital anomalies in offspring of women with diabetes: A systematic review and meta-analysis of population-based studies including over 80 million births.PLoS medicine · 2022Pooled it
- Environmental and Genetic Risk Factors of Congenital Anomalies: an Umbrella Review of Systematic Reviews and Meta-Analyses.Journal of Korean medical science · 2021Pooled it
- Effect of maternal diabetes on fetal heart function on echocardiography: systematic review and meta-analysis.Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology · 2021Pooled it
- Maternal obesity and metabolic disorders associate with congenital heart defects in the offspring: A systematic review.PloS one · 2021Pooled it
- Systematic review and meta-analysis of the effectiveness of pre-pregnancy care for women with diabetes for improving maternal and perinatal outcomes.PloS one · 2020 · on this mapPooled it
- Cardiac function in newborns of obese women and the effect of exercise during pregnancy. A randomized controlled trial.PloS one · 2018Trial
- A rare association of truncus arteriosus type II, common atrium, and severe left ventricular hypoplasia: a forensic autopsy case.Forensic science, medicine, and pathology · 2026Article
- The Impact of Maternal Obesity and Diabetes on the Development of Congenital Heart Defects (CHDs) in Offspring: A Narrative Review.Metabolites · 2026Review
- Advanced fetal cardiac monitoring in gestational diabetes mellitus: HbA1c remains the relevant predictor of perinatal outcome under optimal metabolic control.Archives of gynecology and obstetrics · 2026Article
- Genetic and Environmental Contributors To Congenital Heart Disease.Current treatment options in cardiovascular medicine · 2025Review
- Impact of genetic factors on antioxidant rescue of maternal diabetes-associated congenital heart disease.JCI insight · 2024Article
- Maternal periconception hyperglycemia, preconception diabetes, and risk of major congenital malformations in offspring.Human reproduction (Oxford, England) · 2024Article
- Maternal Diabetes Mellitus and Neonatal Outcomes in Bisha: A Retrospective Cohort Study.Medical sciences (Basel, Switzerland) · 2024Article
- Maternal Diabetes and Overweight and Congenital Heart Defects in Offspring.JAMA network open · 2024Article
- Updating an Overview of Teratology.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Maternal diabetes and risk of offspring congenital heart diseases: the Japan Environment and Children's Study.Environmental health and preventive medicine · 2024Article
- Associations of elevated glucose levels at each time point during OGTT with fetal congenital heart diseases: a cohort study of 72,236 births.BMC pregnancy and childbirth · 2023Article
- Maternal Pre-Existing Diabetes: A Non-Inherited Risk Factor for Congenital Cardiopathies.International journal of molecular sciences · 2023Review
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
Maternal diabetes is associated with congenital heart defects (CHDs) as a group, but few studies have assessed risk for specific CHD phenotypes. We analyzed these relationships using data from the Texas Birth Defects Registry and statewide vital records for deliveries taking place in 1999-2009 (n = 48,249 cases). We used Poisson regression to calculate prevalence ratios for the associations between maternal diabetes (pregestational or gestational) and each CHD phenotype, adjusting for potential confounders. Analyses were repeated by type of diabetes. To address the potential for misclassification bias, we performed logistic regression, using malformed controls. We also conducted meta-analyses, combining our estimates of the association between pregestational diabetes and each CHD phenotype with previous estimates. The prevalence of every CHD phenotype was greater among women with pregestational diabetes than among nondiabetic women. Most of these differences were statistically significant (adjusted prevalence ratios = 2.47-13.20). Associations were slightly attenuated for many CHD phenotypes among women with gestational diabetes. The observed associations did not appear to be the result of misclassification bias. In our meta-analysis, pregestational diabetes was significantly associated with each CHD phenotype. These findings contribute to a better understanding of the teratogenic effects of maternal diabetes and improved counseling for risk of specific CHD phenotypes.
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Registered trials
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.