Evidence map›Paper›PMID 41730796›Full record

SynthesisObesity reviews : an official journal of the International Association for the Study of Obesity2026

Gestational Diabetes Mellitus and Adverse Maternal and Neonatal Health Outcomes: an Umbrella review of Meta-Analyses.

Jiseung Kang, Hyeon Jin Kim, Yeona Jo, Kathryn J Smith, Arianna R S Lark, Fayaz A Mir, Jaeyu Park, Hayeon Lee, Yumin Kim, Masoud Rahmati and 5 more

Abstract readSystematic Review
In one paragraph

Synthesis in Obesity reviews : an official journal of the International Association for the Study of Obesity, 2026. 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. Article
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.

Jiseung KangSchool of Health and Environmental Science, Korea University College of Health Science, Seoul, South Korea.ORCID 0000-0002-3734-7572
Hyeon Jin KimCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.
Yeona JoCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.
Kathryn J SmithMass General Brigham Department of Anesthesiology, Massachusetts General Hospital, Boston, Massachusetts, USA.
Arianna R S LarkMass General Brigham Department of Anesthesiology, Massachusetts General Hospital, Boston, Massachusetts, USA.
Fayaz A MirMass General Brigham Department of Anesthesiology, Massachusetts General Hospital, Boston, Massachusetts, USA.ORCID 0000-0003-2392-6378
Jaeyu ParkCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.ORCID 0009-0005-2009-386X
Hayeon LeeCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.ORCID 0009-0000-2403-6241
Yumin KimGlobal Alliance of Infant and Maternal Health Research, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA.
Masoud RahmatiCEReSS-Health Service Research and Quality of Life Center, Assistance Publique-Hopitaux de Marseille, Aix-Marseille University, Marseille, France.
Lee SmithCentre for Health, Performance, and Wellbeing, Anglia Ruskin University, Cambridge, UK.
Sang Youl RheeCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.ORCID 0000-0003-0119-5818
Yejun SonCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.
Dong Keon YonCenter for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.ORCID 0000-0003-1628-9948
Christa J NehsMass General Brigham Department of Anesthesiology, Massachusetts General Hospital, Boston, Massachusetts, USA.

Funding

Ministry of Science and ICT, South Korea IITP-2024-RS-2024-00438239Ministry of Science and ICT, South Korea RS-2024-00509257United States of America National Institutes of Health National Institute on Aging R01AG076704
6 · The paper itself

Abstract

introductionThis study systematically synthesized evidence on adverse health outcomes related to gestational diabetes mellitus (GDM) via an umbrella review with integrated meta-analyses.

methodsThe search covered publications from the database (PubMed/MEDLINE, Google Scholar, Embase, and CINAHL) inception to August 12, 2024. Meta-analyses of observational studies examining the impact of GDM on maternal and neonatal health outcomes were included. Two independent researchers screened and extracted data. Associations were reanalyzed and presented as equivalent odds ratios (eORs) with 95% confidence intervals (CI). The quality of meta-analyses was assessed using AMSTAR 2, and the credibility of associations was categorized into five levels: convincing (Class I), highly suggestive (Class II), suggestive (Class III), weak (Class IV), or nonsignificant (NS).

resultsA total of 27 meta-analyses encompassing 85 associations were included. Among 28 significant maternal outcomes, 11 (subclinical atherosclerosis, angina, hypertension, overall cardiovascular diseases, ischemic stroke, overall stroke, combined cardiovascular/cerebrovascular diseases, subclinical left ventricle systolic dysfunction, type 2 diabetes, postpartum metabolic syndrome, and infections) were supported by convincing or highly suggestive evidence. Of 13 significant neonatal outcomes, three (atrial septal defect, congenital heart disease, and ventricular septal defect) were highly suggestive, while four of eight significant delivery outcomes (hypertensive disorders, cesarean delivery, admission to neonatal intensive care unit admission, and preterm birth) reached this level. Notably, no outcomes previously deemed nonsignificant turned significant upon reanalysis.

conclusionsThese findings underscore the need for targeted prevention and management, and further research is needed to clarify causality and refine guidelines. STUDY REGISTRATION: PROSPERO CRD42024590322.

Indexed as

Diabetes, GestationalInfant HealthMaternal HealthPregnancy OutcomeFemaleHumansInfant, NewbornMeta-Analysis as TopicPregnancygestational diabetes mellitushealth outcomesumbrella review

Identifiers

PMID41730796
PMCPMC13243343

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.