ArticlePloS one2014
Shape information in repeated glucose curves during pregnancy provided significant physiological information for neonatal outcomes.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.
- Multi-ancestry, trans-generational GWAS meta-analysis of gestational diabetes and glycaemic traits during pregnancy reveals limited evidence of pregnancy-specific genetic effects.Nature communications · 2026Pooled it
- Difference in the prevalence of gestational diabetes mellitus according to gestational age at 75-g oral glucose tolerance test in Japan: The Japan Assessment of Gestational Diabetes Mellitus Screening trial.Journal of diabetes investigation · 2019Trial
- Understanding the Genetic Landscape of Gestational Diabetes: Insights into the Causes and Consequences of Elevated Glucose Levels in Pregnancy.Metabolites · 2024Review
- Longitudinal changes in glucose during pregnancy in women with gestational diabetes risk factors.Diabetologia · 2022Article
- Distribution of normal and pathological OGTTs among pregnant population and non-pregnant women with PCOS - the cross-sectional study.Medicine · 2021Article
- Characterizing early child growth patterns of height-for-age in an urban slum cohort of Bangladesh with functional principal component analysis.BMC pediatrics · 2017Observational
- Observational
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo use multilevel functional principal component analysis to exploit the information inherent in the shape of longitudinally sampled glucose curves during pregnancy, and to analyse the impact of glucose curve characteristics on neonatal birth weight, percentage fat and cord blood C-peptide. STUDY DESIGN AND
settingA cohort study of healthy, pregnant women (n = 884). They underwent two oral glucose tolerance tests (gestational weeks 14-16 and 30-32), which gave two glucose curves per woman.
resultsGlucose values were higher, and peaked later in third trimester than in early pregnancy. The curve characteristic "general glucose level" accounted for 91% of the variation across visits, and 72% within visits. The curve characteristics "timing of postprandial peak", and "oscillating glucose levels" accounted for a larger part of the variation within visits (15% and 8%), than across visits (7% and <2%). A late postprandial peak during pregnancy, and high general glucose levels in third trimester had significant, positive effects on birth weight (p<0.05). Generally high glucose levels during pregnancy had a significant, positive impact on neonatal percentage fat (p = 0.04). High general glucose level in third trimester had a significant, positive impact on cord blood C-peptide (p = 0.004).
conclusionShape information in entire OGTT curves provides significant physiological information of importance for several outcomes, and may contribute to the understanding of the metabolic changes during pregnancy.
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