Evidence map›Paper›PMID 41266559›Full record

ArticleScientific reports2025

Fetal malformations in women with pregestational diabetes mellitus based on pre-pregnancy fasting plasma glucose levels.

Subeen Hong, Kyung A Lee, Young Mi Jung, Heechul Jeong, Ji-Hee Sung, Hyun-Joo Seol, Won Joon Seong, Soo Ran Choi, Joon Ho Lee, Seung Chul Kim and 5 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
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

15 authors.

Subeen HongDepartment of Obstetrics and Gynecology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, 222, Banpo-Daero, Seocho-Gu, Seoul, 06591, Republic of Korea.ORCID http://orcid.org/0000-0002-1027-7981
Kyung A LeeDepartment of Obstetrics and Gynecology, College of Medicine, Ewha Womans University, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0003-3654-5670
Young Mi JungDepartment of Obstetrics and Gynecology, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Heechul JeongDepartment of Statistics, Sungkyunkwan University, Seoul, Republic of Korea.
Ji-Hee SungDepartment of Obstetrics and Gynecology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Hyun-Joo SeolDepartment of Obstetrics and Gynecology, Guro Hospital, College of Medicine, Korea University, Seoul, Republic of Korea.
Won Joon SeongDepartment of Obstetrics and Gynecology, School of Medicine, Kyungpook National University, Daegu, Republic of Korea.
Soo Ran ChoiDepartment of Obstetrics and Gynecology, Inha University College of Medicine, Incheon, Republic of Korea.
Joon Ho LeeDepartment of Obstetrics and Gynecology, Yonsei University Health System, Yonsei University College of Medicine, Seoul, Republic of Korea.
Seung Chul KimDepartment of Obstetrics and Gynecology, Biomedical Research Institute, Pusan National University College of Medicine, Busan, Republic of Korea.
Sae-Kyoung ChoiDepartment of Obstetrics and Gynecology, Incheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Ji Young KwonDepartment of Obstetrics and Gynecology, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Hyun Soo ParkDepartment of Obstetrics and Gynecology, Graduate School of Medicine, Dongguk University, Goyang, Republic of Korea.
Hyun Sun KoDepartment of Obstetrics and Gynecology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, 222, Banpo-Daero, Seocho-Gu, Seoul, 06591, Republic of Korea. mongkoko@catholic.ac.kr.ORCID http://orcid.org/0000-0001-6310-6206
Geum Joon ChoDepartment of Obstetrics and Gynecology, Guro Hospital, College of Medicine, Korea University, Seoul, Republic of Korea. md_cho@hanmail.net.ORCID http://orcid.org/0000-0001-6761-0944

Funding

Patient-Centered Clinical Research Coordinating Center (PACEN) funded by the Ministry of Health & Welfare RS-2023-KH137595
6 · The paper itself

Abstract

To evaluate the risk of fetal malformation in pregnant women with pregestational diabetes mellitus based on pre-pregnancy fasting plasma glucose (FPG) levels. This cohort study used the Korean Health Insurance Review and Assessment (HIRA) database, including 5,687 women with pre-pregnancy diabetes and FPG measurements within one year before conception. Subjects were grouped into three glycemic level categories: low (FPG < 100 mg/dL [< 5.5 mmol/L]), moderate (FPG: 100-125 mg/dL [5.6-6.9 mmol/L]), and high (FPG ≥ 126 mg/dL [≥ 7.0 mmol/L]). The low glycemic group was divided into four subgroups based on FPG levels. The relative risks of fetal malformations were calculated using multivariable analysis compared to a reference group (FPG < 84 mg/dL [< 4.7 mmol/L]). Fetal malformation rates were 10% in the low, 13.6% in the moderate, and 18.6% in the high glycemic groups (P < 0.001). Teratogenic risks were 1.3 times higher in the moderate glycemic group and 1.8 times higher in the high glycemic group compared to the reference group. The high glycemic group had 2.5 times greater risk of cardiac malformations and 3.3 times greater risk of skeletal malformations. Preconceptional FPG levels ≥ 100 mg/dL [≥ 5.5 mmol/L] in women with pregestational diabetes elevate the risk of fetal malformations, especially cardiac and skeletal malformations at FPG levels ≥ 126 mg/dL [≥ 7.0 mmol/L].

Indexed as

Blood GlucoseCongenital AbnormalitiesFastingPregnancy in DiabeticsAdultCohort StudiesFemaleHumansPregnancyRepublic of KoreaRisk FactorsBlood GlucoseDiabetes mellitusFasting plasma glucoseFetal malformationPregnant women

Identifiers

PMID41266559
PMCPMC12635161

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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.