Evidence map›Paper›PMID 41392244›Full record

ArticleBMC pregnancy and childbirth2025

The impact of early pregnancy uric acid on gestational diabetes risk: a prospective cohort study in Northwest China.

Doudou Zhao, Nan Li, Yanfang Song, Jie Chen, Xiayang Li, Yishuai Huang, Danmeng Liu, Li Shan, Yang Mi, Pengfei Qu and 1 more

Abstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2025. 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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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Doudou ZhaoDepartment of Health Statistics, Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, School of Public Health, Fourth Military Medical University, Xi'an, 710032, China.
Nan LiDepartment of Health Statistics, Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, School of Public Health, Fourth Military Medical University, Xi'an, 710032, China.
Yanfang SongDepartment of Health Statistics, Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, School of Public Health, Fourth Military Medical University, Xi'an, 710032, China.
Jie ChenDepartment of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, 710061, China.
Xiayang LiDepartment of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, 710061, China.
Yishuai HuangDepartment of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, 710061, China.
Danmeng LiuTranslational Medicine Center, Northwest Women's and Children's Hospital, Xi'an, 710061, China.
Li ShanDepartment of Gynecology, Northwest Women's and Children's Hospital, Xi'an, 710061, China.
Yang MiDepartment of Obstetrics, Northwest Women's and Children's Hospital, Xi'an, 710061, China. miyangmm@163.com.
Pengfei QuCentral Laboratory, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Chaoyang, Beijing, 100026, China. xinxi3057@163.com.
Lei ShangDepartment of Health Statistics, Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, School of Public Health, Fourth Military Medical University, Xi'an, 710032, China. shanglei@fmmu.edu.cn.

Funding

Innovation Talents Promotion Program of Shaanxi Province 2023KJXX-109Key Research and Development Projects of Shaanxi Province 2025SF-YBXM-227, 2024SF-YBXM-238, 2022ZDLSF02-11, and 2021ZDLSF02-14National Natural Science Foundation of China 82103924Strengthening Basic Disciplines Program of Xi'an City 22YXYJ0095
6 · The paper itself

Abstract

backgroundElevated uric acid (UA) has become a global health concern. We aimed to investigate the impact of UA in women during early pregnancy on the subsequent risk of gestational diabetes mellitus (GDM).

methodsPregnant women in their first trimester were recruited from a birth cohort study conducted in Xi'an, China, between July 2018 and December 2023. A generalized linear model (GLM) was used to calculate risk ratios (RRs) and 95% confidence intervals (CIs) for the effects of UA levels.

resultsCompared with the first quartile of UA, the second (RR = 1.15, 95% CI = 1.04-1.28), third (RR = 1.27, 95% CI = 1.15-1.41), and fourth (RR = 1.46, 95% CI = 1.32-1.61) quartiles were associated with an increased risk of GDM. Moreover, UA was the strongest predictor among all variables in the random forest model except for BMI. Importantly, higher UA levels were associated with an increased risk of GDM (OR = 1.39, 95% CI = 1.29-1.50) as long as BMI exceeded 18.5 kg/m². The highest GDM risk was observed in high UA/high BMI combinations.

conclusionsThis study demonstrated that higher UA levels during early pregnancy were associated with an increased risk of GDM. These findings suggest a link that warrants further investigation to determine if UA plays a causal role or is a marker of underlying pathology.

Indexed as

Diabetes, GestationalPregnancy Trimester, FirstUric AcidAdultBody Mass IndexChinaFemaleHumansPregnancyProspective StudiesRisk FactorsUric AcidBody mass indexCohort studyEarly pregnancyGestational diabetes mellitusUric acid

Identifiers

PMID41392244
PMCPMC12821261

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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.