Evidence map›Paper›PMID 42388159›Full record

ArticleObstetrics & gynecology science2026

Predictive value of glycated hemoglobin levels for large for gestational age infants in women with pregestational diabetes according to body mass index.

Sujin Lee, Suyeon Park, Ji-Hee Sung, Hyun-Joo Seol, JoonHo Lee, Seung-Chul Kim, Sae-Kyoung Choi, Seung Mi Lee, Se Jin Lee, Han-Sung Hwang and 6 more

Abstract read
In one paragraph

Article in Obstetrics & gynecology science, 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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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

16 authors.

Sujin LeeDepartment of Obstetrics and Gynecology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Suyeon ParkDepartment of Obstetrics and Gynecology, Inha University Hospital, School of Medicine, Inha University, Incheon, Korea.
Ji-Hee SungDepartment of Obstetrics and Gynecology, Samsung Medical Center, School of Medicine, Sungkyunkwan University, Seoul, Korea.
Hyun-Joo SeolDepartment of Obstetrics and Gynecology, Korea University Guro Hospital, College of Medicine, Korea University, Seoul, Korea.
JoonHo LeeDepartment of Obstetrics and Gynecology, Yonsei University College of Medicine, Seoul, Korea.
Seung-Chul KimDepartment of Obstetrics and Gynecology, Pusan National University School of Medicine, Busan, Korea.
Sae-Kyoung ChoiDepartment of Obstetrics and Gynecology, Incheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.
Seung Mi LeeDepartment of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul, Korea.
Se Jin LeeDepartment of Obstetrics and Gynecology, Kangwon National University Hospital, College of Medicine, Kangwon National University, Chuncheon, Korea.
Han-Sung HwangDepartment of Obstetrics and Gynecology, Konkuk University Hospital, School of Medicine, Konkuk University, Seoul, Korea.
Gi-Su LeeDepartment of Obstetrics and Gynecology, Keimyung University Dongsan Hospital, School of Medicine, Keimyung University, Daegu, Korea.
Hyun-Soo ParkDepartment of Obstetrics and Gynecology, Dongguk University Ilsan Hospital, Goyang, Korea.
Soo-Jeong LeeDepartment of Obstetrics and Gynecology, Ulsan University Hospital, College of Medicine, University of Ulsan, Ulsan, Korea.
Geum Joon ChoDepartment of Obstetrics and Gynecology, Korea University Guro Hospital, College of Medicine, Korea University, Seoul, Korea.
Subeen HongDepartment of Obstetrics and Gynecology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea. unihsy@catholic.ac.kr.
Hyun Sun KoDepartment of Obstetrics and Gynecology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea. mongkoko@catholic.ac.kr.

Funding

Catholic Medical Center Research FoundationMinistry of Health and Welfare RS-2023-KH137595Patient-Centered Clinical Research Coordinating Center
6 · The paper itself

Abstract

Objective: To evaluate whether pre-pregnancy body mass index (BMI) modifies the predictive ability of glycosylated hemoglobin (HbA1c) for large for gestational age (LGA) infants in women with pregestational diabetes. Methods: This multicenter retrospective cohort study included 402 women with pregestational diabetes from 17 University Hospitals in South Korea. Pregestational diabetes included early-diagnosed gestational diabetes, type 1 diabetes, and type 2 diabetes. Participants were categorized by pre-pregnancy BMI (<25 vs. ≥25 kg/m2). The primary outcome was LGA birth. Logistic regression was used to assess the association between trimester-specific HbA1c levels and LGA in each BMI group. Receiver operating characteristic (ROC) curve analysis evaluated predictive performance. Results: Among 402 women, 183 (45.5%) had a BMI <25 kg/m2 and 219 (54.5%) had a BMI ≥25 kg/m2. In the BMI <25 kg/m2 group, higher HbA1c levels in all trimesters were significantly associated with an increased risk of LGA, with the strongest association in the third trimester (odds ratio [OR], 2.28; 95% confidence interval [CI], 1.46-3.58). In women with BMI ≥25 kg/m2, only third-trimester HbA1c was significantly associated with LGA (OR, 1.455; 95% CI, 1.069-1.981). ROC analysis showed moderate discrimination for LGA prediction in women with BMI <25 kg/m2 (area under the curve [AUC], 0.70-0.82), but poor discrimination in those with BMI ≥25 kg/m2 (all AUCs ≤0.65). Conclusion: The predictive utility of HbA1c for LGA differed according to pre-pregnancy BMI and was greater in women with BMI <25 kg/m2 than in those with BMI ≥25 kg/m2.

Indexed as

Body mass indexDiabetes mellitusInfantLarge for gestational agePregnancy

Identifiers

PMID42388159
PMCPMC13597153

What Socratic holds

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Registered trials

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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 Socratic graph.