SynthesisEndocrine2025
Prevalence of metabolic syndrome among pregnant women: a systematic review and meta-analysis.
Synthesis in Endocrine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis 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
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Systemic immune-inflammation index as a novel biomarker for metabolic syndrome: A systematic review and meta-analysis.Medicine · 2026Pooled it
- Cardiovascular disease in women: traditional and sex-specific risk factors.European heart journal · 2026Review
- Severe maternal morbidity in patients of advanced maternal age with and without metabolic syndrome.Archives of gynecology and obstetrics · 2026Article
- Global prevalence of metabolic syndrome among individuals with sarcopenia: a systematic review and meta-analysis of 72,129 patients.Diabetology & metabolic syndrome · 2026Review
- Maternal nutritional status and the risk of metabolic syndrome in pregnancy: implications for public health nutrition.Frontiers in public health · 2026Observational
- Hypertensive disorders of pregnancy in the United Arab Emirates.Frontiers in reproductive health · 2026Article
- Navigating hypertriglyceridemia in pregnancy: current evidence and clinical strategies.Frontiers in endocrinology · 2026Review
- The association between gestational diabetes mellitus and cancer in women: an updated systematic review and meta-analysis.Journal of diabetes and metabolic disorders · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeMetabolic syndrome (MetS) is a cluster of risk factors that increase the risk of cardiometabolic diseases. The prevalence of MetS and individual components across pregnancy has not been reviewed in the literature. This research was conducted to identify the prevalence of MetS and its components among pregnant women.
methodsThe PubMed, EMBASE, CINAHL, Web of Science and Scopus databases were searched. The review protocol is registered in PROSPERO (CRD42023460729). Quality assessment was performed using the JBI critical appraisal checklist. The study selection, data extraction and data analyses were performed in accordance with the MOOSE guidelines.
resultsThe prevalence of MetS among pregnant women was 16.3%, (n = 3946). The prevalences for individual MetS components were: low HDL, 12.3% (n = 1108); high fasting glucose, 16.2% (n = 2333); high triglycerides, 48.5% (n = 2880); obesity, 42.7% (n = 5162) and high blood pressure 37.7% (n = 828). According to the definitions used to diagnose MetS, the prevalences were 18.2% according to the World Health Organization, 15.0% according to the International Diabetes Federation and 17.2% according to the National Cholesterol Education Program Adult Treatment Panel III. When stratified by gestational age at assessment, the prevalence of MetS was 9.9% before 16 weeks' and 24.1% after 20 weeks' of gestation.
conclusionThis review demonstrates that MetS is detected in approximately one-fifth of pregnant women. Screening for MetS and its components during pregnancy may help identify young women at risk for future cardiovascular disease.
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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 Socratic graph.