Evidence map›Paper›PMID 42157035›Full record

ArticleBMC pregnancy and childbirth2026

Independent and synergistic effects of OGTT-based hyperglycemia phenotypes and gestational weight gain on feto-maternal outcomes in GDM.

Yayuan Zhou, Linling Zhu, Hongmin An, Haiyan Wen, Peipei Hao

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Article in BMC pregnancy and childbirth, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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5 authors.

Yayuan ZhouDepartment of Obstetrics, Hangzhou Women's Hospital (Hangzhou Maternity and Child Health Care Hospital), Hangzhou, Zhejiang, 310008, China.
Linling ZhuDepartment of Obstetrics, Hangzhou Women's Hospital (Hangzhou Maternity and Child Health Care Hospital), Hangzhou, Zhejiang, 310008, China.
Hongmin AnDepartment of Obstetrics, Hangzhou Women's Hospital (Hangzhou Maternity and Child Health Care Hospital), Hangzhou, Zhejiang, 310008, China.
Haiyan WenDepartment of Obstetrics, Hangzhou Women's Hospital (Hangzhou Maternity and Child Health Care Hospital), Hangzhou, Zhejiang, 310008, China. wenhy1991@163.com.
Peipei HaoDepartment of Obstetrics, Hangzhou Women's Hospital (Hangzhou Maternity and Child Health Care Hospital), Hangzhou, Zhejiang, 310008, China. hhhppp2006@163.com.

Funding

Administration of Traditional Chinese Medicine of Zhejiang Province, China 2024ZL740Zhejiang Provincial Medical and Health Technology Plan 2025KY1176Zhejiang Provincial Natural Science Foundation of China Q24H040012
6 · The paper itself

Abstract

backgroundGestational weight gain (GWG) and hyperglycemia identified via the oral glucose tolerance test (OGTT) are critical factors influencing adverse pregnancy outcomes. However, the applicability of universal management standards for these factors across specific patient populations remains a subject of critical clinical inquiry. The objective of this study is to examine the independent and synergistic effects of different OGTT-based hyperglycemia phenotypes and GWG on adverse feto-maternal outcomes in women with GDM.

methodsFrom a total cohort of 52,942 parturients, this study included 5,593 cases of GDM after applying exclusion criteria. Participants were classified based on 75-g OGTT results and GWG categories. We systematically performed univariate analysis, multivariate logistic regression analysis, and interaction analysis to explore the associations between OGTT-based hyperglycemia phenotypes, GWG groups, and the incidence of adverse feto-maternal outcomes.

resultsThe incidence of adverse outcomes differed significantly by hyperglycemia phenotypes and GWG categories. Importantly, interaction analysis revealed that the impact of GWG on adverse outcomes varied significantly across different hyperglycemia phenotypes. The risks of preeclampsia, hyperlipidemia, polyhydramnios, large for gestational age infants, and cesarean section were highest in the combined hyperglycemia phenotype.

conclusionsOur findings indicate phenotype-specific epidemiological associations with feto-maternal outcomes. Given the retrospective nature of this study, these observational data are strictly hypothesis-generating. They raise the hypothesis that exploring refined GWG targets-particularly for the isolated fasting hyperglycemia phenotype-warrants future prospective investigation. Furthermore, inadequate GWG was associated with a higher risk of preterm birth exclusively in the isolated post-load hyperglycemia phenotype, indicating a specific correlational trend that merits further exploratory research.

Indexed as

Diabetes, GestationalGestational Weight GainHyperglycemiaPregnancy OutcomeAdultCesarean SectionFemaleGlucose Tolerance TestHumansHyperlipidemiasInfant, Large for Gestational AgeInfant, NewbornPhenotypePolyhydramniosPre-EclampsiaPregnancyFeto-maternal outcomesGestational diabetes mellitusGestational weight gainLarge for gestational ageOral glucose tolerance test

Identifiers

PMID42157035
PMCPMC13352916

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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.