Observational studyReproductive biology and endocrinology : RB&E2024
Pre-pregnancy LDL/HDL and total Cholesterol/HDL ratios are strong predictors of gestational diabetes mellitus in women undergoing assisted reproductive technologies.
Observational study in Reproductive biology and endocrinology : RB&E, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03503006 (Effects of Vitamin D Status on the Outcome of Ivf - Embryo Transfer), which is not on this map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Effects of Vitamin D Status on the Outcome of Ivf - Embryo Transfer
Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Systematic Review on Biomarkers for Gestational Diabetes Mellitus Detection in Pregnancies Conceived Using Assisted Reproductive Technology: Current Trends and Future Directions.International journal of molecular sciences · 2025Pooled it
- Managing maternity: Moving care, not patients, using artificial intelligence (AI), internet-of-things (IOT) and point-of-care testing (POCT) devices.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2026Article
- Association between serum uric acid levels and adverse pregnancy outcomes: A prospective cohort study.The Journal of international medical research · 2026Article
- Association between assisted reproductive technology and gestational diabetes mellitus: the role of serum folate and triglycerides.Nutrition & diabetes · 2026Observational
- Embryo Culture Duration Is an Independent Risk Factor for Gestational Diabetes in Frozen Embryo Transfer Pregnancies.Journal of the Endocrine Society · 2026Article
- Comparative predictive value of the cholesterol-high-density lipoprotein-glucose index versus the triglyceride-glucose index for gestational dysglycemia: a two-cohort study.Frontiers in endocrinology · 2026Article
- Development and validation of a model integrating clinical and metabolomic markers for gestational diabetes mellitus prediction.Frontiers in medicine · 2026Article
- PREGNANCY DISORDERS AND MATERNAL CONSEQUENCES: Maternal pre-pregnancy risks and postpartum consequences of gestational diabetes.Reproduction (Cambridge, England) · 2025Review
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND &
objectiveTo analyze whether there is an association between pre-pregnancy lipid parameters and gestational diabetes mellitus (GDM) in women undergoing assisted reproductive technologies (ART), a group especially at risk for GDM, and if so, which parameter is associated the strongest.
methodsData was collected at the Reproductive and Genetic Hospital CITIC-Xiangya in Changsha, China from January 2017 to December 2018. The measured lipid parameters include LDL (low-density lipoprotein), HDL (high-density lipoprotein), TC (total cholesterol), and TG (triglycerides).
results119 (15.5%) of the 767 patients developed GDM. On average, women who developed GDM were older, had a higher BMI, LDL, TC, and TG, and lower HDL. After adjusting for confounders, LDL and HDL showed a significant association with GDM (p < 0.05), but TC and TG did not. Binary LDL/HDL and TC/HDL ratios showed the strongest association with GDM incidence (OR 1.957 [95%CI 1.258-3.044] and 1.942 [1.243-3.034] respectively). Subgroup analysis showed that an elevated LDL/HDL ratio also increased GDM risk in subgroups with a typically lower prevalence of GDM, such as young women with a low BMI and low blood pressure. Both lipid ratios (LDL/HDL and TC/HD) show strong interactions with baseline age, fasting plasma glucose, and LH.
conclusionsIn this cohort of Chinese women undergoing ART, pre-pregnancy LDL/HDL and TC/HDL were associated with GDM the strongest from the lipid parameters and could be useful to estimate GDM risk even before ART treatments and pregnancy. CLINICAL TRIAL NUMBER: NCT03503006 registered on the 21st of March 2018 (on clinicaltrials.gov). https://clinicaltrials.gov/study/NCT03503006?locStr=Changsha,%20Hunan,%20China&country=China&state=Hunan&city=Changsha&cond=ivf&rank=2 .
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