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Record W4408745647 · doi:10.1111/dom.16341

A meta‐analysis of adverse offspring health outcomes in patients with gestational diabetes mellitus

2025· review· en· W4408745647 on OpenAlexaboutno aff
Junlan Qiu, Lingjun Li, Mengyu Fu, Meihua Zhang, Yanting Wu, Ying Xu, Hongmei Ding

Bibliographic record

VenueDiabetes Obesity and Metabolism · 2025
Typereview
Languageen
FieldMedicine
TopicGestational Diabetes Research and Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineGestational diabetesMeta-analysisOffspringConfidence intervalOdds ratioOverweightPublication biasSubgroup analysisObesityInternal medicineBlood pressureDiabetes mellitusObstetricsPregnancyEndocrinologyGestation

Abstract

fetched live from OpenAlex

This study aims to comprehensively evaluate the association between gestational diabetes mellitus (GDM) and the risk of chronic diseases, including obesity, glycolipid metabolic disorders, neurodevelopmental conditions and cardiovascular diseases, in offspring through a systematic meta-analysis. By searching PubMed, Web of Science and Cochrane systematic review databases, relevant observational studies published from January 2010 to February 2024 were comprehensively retrieved, and the Newcastle-Ottawa Scale was used to assess the quality of the studies. Subgroup analyses were performed based on the country status, offspring age, screening method and diagnostic criteria of GDM. A meta-regression model was used to assess the potential impact of study characteristics on the combined effect odds ratio (OR). Sensitivity analysis was conducted to examine the impact of individual studies on the overall results. Additionally, Egger's test and funnel plot analysis were utilized to assess potential publication bias. This meta-analysis included 32 studies, encompassing a total of 3 310 217 participants (90 304 women with GDM and 3 219 913 controls). Offspring exposed to GDM exhibited significantly elevated risks of obesity and overweight (OR = 1.57, 95% confidence interval [CI] [1.35, 1.82]), diabetes (OR = 4.50, 95% CI [2.87, 7.70]), autism spectrum disorder (OR = 1.38, 95% CI [1.20, 1.59]) and intellectual disabilities (OR = 1.70, 95% CI [1.52, 1.90]). Furthermore, offspring of mothers with GDM demonstrated higher systolic blood pressure (mean difference [MD] = 2.33, 95% CI [0.92, 3.75]), diastolic blood pressure (MD = 0.53, 95% CI [0.09, 0.96]), body mass index (BMI) (MD = 0.62, 95% CI [0.45, 0.80]), z-BMI score (MD = 0.27, 95% CI [0.15, 0.39]), triglyceride levels (MD = 0.04, 95% CI [0.04, 0.04]) and LDL cholesterol levels (MD = 0.02, 95% CI [0.02, 0.02]) compared to controls. In conclusion, maternal GDM is significantly associated with an increased risk of obesity, neurodevelopmental disorders, diabetes and cardiovascular diseases in offspring. Subgroup and regression analyses revealed that this association was largely unaffected by factors such as country status, offspring age, GDM screening methods or diagnostic criteria. Sensitivity analysis and bias assessment indicated that the findings were robust, with no significant publication bias detected among the included studies. GDM is a significant risk factor for offspring developing glycolipid metabolic disorders, neurodevelopmental conditions and cardiovascular diseases. This study provides a comprehensive understanding of the long-term health implications for offspring exposed to GDM, highlighting the elevated risk of chronic diseases in this population. These findings underscore the importance of implementing early preventive measures post-birth to mitigate the burden of associated chronic diseases.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.014
metaresearch head score (Gemma)0.027
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.014
Threshold uncertainty score0.074

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.027
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0140.048
Bibliometrics0.0060.006
Science and technology studies0.0010.000
Scholarly communication0.0030.001
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.032
GPT teacher head0.315
Teacher spread0.283 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations16
Published2025
Admission routes1
Has abstractyes

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