Evidence map›Paper›PMID 42539429›Full record

SynthesisFrontiers in endocrinology2026

Prevalence and associated factors of gestational diabetes mellitus among women with polycystic ovary syndrome: a systematic review and meta-analysis.

Youchang Yuan, Liuxin Hu, Yanjing Li, Xinju Hou

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Frontiers in endocrinology, 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

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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

The trial behind it

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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

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5 · Who and what money

Authors and funding

4 authors.

Youchang YuanDepartment of Rehabilitation Medicine,Nanchang Hongdu Hospital of Traditional Chinese Medicine, Nanchang, Jiangxi, China.
Liuxin HuGraduate School, Jiangxi University of Chinese Medicine, Nanchang, Jiangxi, China.
Yanjing LiGraduate School, Jiangxi University of Chinese Medicine, Nanchang, Jiangxi, China.
Xinju HouDepartment of Rehabilitation Medicine,Nanchang Hongdu Hospital of Traditional Chinese Medicine, Nanchang, Jiangxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Polycystic ovary syndrome (PCOS), the most common endocrine disorder in reproductive-aged women, often leads to gestational diabetes mellitus (GDM). This study aimed to systematically evaluate GDM prevalence and its associated factors in PCOS. Methods: We searched PubMed, Embase, Web of Science, Cochrane Library, CNKI, Wanfang, Sinomed, and VIP from inception to December 31, 2025. Studies reporting GDM prevalence or associated factors in PCOS were included. A random-effects model pooled prevalence with odds ratios. Egger's test assessed publication bias, and subgroup analysis with meta-regression explored heterogeneity. A logit transformation was applied for pooling. Results: Twenty-two studies with 5,507 PCOS patients were included. The pooled GDM prevalence was 24% (95% CI: 20%-28%; prediction interval: 10%-46%), with substantial heterogeneity (I² = 89.9%). The primary prevalence estimate, based on cohort studies (n=13), was 21.7% (95% CI: 17.7%-25.8%), while the overall estimate including case-control studies was 24% (95% CI: 20%-28%). By diagnostic criteria, GDM prevalence was 26.0% for one-step vs. 18.7% for two-step. Potentially associated factors included pre-pregnancy BMI (OR = 1.39), gestational weight gain (OR = 1.58), HOMA-IR (OR = 3.41), and family history of diabetes (OR = 2.88). Conclusion: Although the pooled GDM prevalence in PCOS was 24%, substantial heterogeneity and a wide prediction interval (10%-46%) suggest the true prevalence varies considerably across settings. Associated factors included HOMA-IR, family history, pre-pregnancy overweight, and excessive gestational weight gain. PCOS patients should be considered a high-risk group, and early monitoring of glucose metabolism and weight management may be beneficial, though these recommendations derive from observed rather than interventional evidence. Systematic review registration: https://www.crd.york.ac.uk/PROSPERO/view/CRD42026128476, identifier: CRD420261284765.

Indexed as

Diabetes, GestationalPolycystic Ovary SyndromeFemaleHumansPregnancyPrevalenceRisk Factorsgestational diabetes mellitusmeta-analysispolycystic ovary syndromerelated factorssystematic review

Identifiers

PMID42539429
PMCPMC13423630

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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.