Evidence map›Paper›PMID 40512705›Full record

ArticlePloS one2025

Association between the ferritin level and risk of gestational diabetes mellitus: A prospective cohort study.

Xiaomei Zhang, Lili Huo, Ning Yuan, Zhixin Wang, Xingyun Zhu, Dan Zhao, Jianbin Sun

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In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Xiaomei ZhangDepartment of Endocrinology, Peking University International Hospital, Beijing, China.ORCID 0000-0001-7978-8352
Lili HuoDepartment of Endocrinology, Beijing Jishuitan Hospital, Capital Medical University, Beijing, China.ORCID 0000-0002-0815-4202
Ning YuanDepartment of Endocrinology, Peking University International Hospital, Beijing, China.
Zhixin WangDepartment of Endocrinology, Beijing Jishuitan Hospital, Capital Medical University, Beijing, China.
Xingyun ZhuDepartment of Endocrinology, Beijing Jishuitan Hospital, Capital Medical University, Beijing, China.
Dan ZhaoDepartment of Endocrinology, Peking University International Hospital, Beijing, China.
Jianbin SunDepartment of Endocrinology, Peking University International Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveIron is increasingly recognized to influence glucose metabolism. However, evidence about the linkage between body iron stores and the risk of developing gestational diabetes mellitus (GDM) is still inconclusive. We aimed to prospectively investigate the association of serum ferritin concentrations with GDM.

methodsWe studied 847 women from Peking University International Hospital from December 2017 to March 2019. Serum ferritin concentrations were measured three times during pregnancy (gestational weeks 6-12, 24-28 and 32-34). GDM was diagnosed by a 75-g oral-glucose-tolerance test (OGTT) at 24-28 weeks' gestation. Logistic regression analyses were carried out to determine the influence of serum ferritin at the first and second trimester on the risk of developing GDM.

resultsAmong 847 participants, 73 women (8.6%) developed GDM. The median (IQR) of serum ferritin concentrations were 50.6 (32.4-75.5) ng/mL at gestational weeks 6-12, 19.7 (12.0-28.4) ng/mL at gestational weeks 24-28 and 19.4 (11.4-27.2) ng/mL at gestational weeks 32-34. The median serum ferritin concentrations were all significantly higher in women with GDM than those without GDM at the first, second and third trimester. Ferritin concentrations were positively correlated with the risk of GDM; the adjusted OR (95% CI) for highest vs lowest quartile was 2.97 (1.36, 6.51) at the first trimester and 2.64 (1.26, 5.54) at the second trimester.

conclusionsElevated serum ferritin concentrations in the first and second trimester during pregnancy are both independently associated with increased risk of GDM.

Indexed as

Diabetes, GestationalFerritinsAdultFemaleGlucose Tolerance TestHumansPregnancyPregnancy TrimestersPregnancy Trimester, SecondProspective StudiesRisk FactorsFerritins

Identifiers

PMID40512705
PMCPMC12165375

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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.