Evidence map›Paper›PMID 37547304›Full record

ArticleFrontiers in endocrinology2023

Association of gestational hypertriglyceridemia, diabetes with serum ferritin levels in early pregnancy: a retrospective cohort study.

ZhuYuan Zhang, Xing Li, XueXin Zhou, Yan Zhang, XuPei Gan, XianMing Xu, Hao Wu

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Article in Frontiers in endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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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.

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

ZhuYuan ZhangDepartment of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai, China.
Xing LiDepartment of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai, China.
XueXin ZhouDepartment of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai, China.
Yan ZhangDepartment of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai, China.
XuPei GanDepartment of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai, China.
XianMing XuDepartment of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai, China.
Hao WuDepartment of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: Previous studies showed conflicting results linking body iron stores to the risk of gestational diabetes mellitus (GDM) and dyslipidemia. We aim to investigate the relationship between serum ferritin, and the prevalence of GDM, insulin resistance (IR) and hypertriglyceridemia. Methods: A total of 781 singleton pregnant women of gestation in Shanghai General Hospital took part in the retrospective cohort study conducted. The participants were divided into four groups by quartiles of serum ferritin levels (Q1-4). Binary logistic regressions were used to examine the strength of association between the different traits and the serum ferritin (sFer) quartiles separately, where Q1 (lowest ferritin quartile) was taken as the base reference. One-way ANOVA was adopted to compare the averages of the different variables across Sfer quartiles. Results: Compared with the lowest serum ferritin quartile (Q1), the ORs for Q3, and Q4 in our population were 1.79 (1.01-2.646), and 2.07 (1.089-2.562) respectively and this trend persisted even after adjusted for age and pre-BMI. Women with higher serum ferritin quartile including Q3 (OR=2.182, 95%CI=1.729-5.527, P=0.003) and Q4(OR=3.137, 95%CI=3.137-8.523, P<0.01)are prone to develop insulin resistance disorders. No significant difference was observed between sFer concentrations and gestational hypertriglyceridemia(GTG) in the comparison among these 4 groups across logistic regressions but TG was found positively correlated with increased ferritin values in the second trimester. Conclusions: Increased concentrations of plasma ferritin in early pregnancy are significantly and positively associated with insulin resistance and incidence of GDM but not gestational dyslipidemia. Further clinical studies are warranted to determine whether it is necessary to encourage pregnant women to take iron supplement as a part of routine antenatal care.

Indexed as

Diabetes, GestationalDyslipidemiasHypertriglyceridemiaInsulin ResistanceChinaFemaleFerritinsHumansIronPregnancyRetrospective StudiesFerritinsIrongestational diabeteshypertriglyceridemiainsulin resistancemetabolism & endocrinologyserum ferritin levels

Identifiers

PMID37547304
PMCPMC10400314

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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.