Risk factors for gestational diabetes: An umbrella review of meta-analyses of observational studies

妊娠期糖尿病 观察研究 医学 荟萃分析 怀孕 置信区间 体质指数 内科学 产科 相对风险 队列研究 妊娠期 生物 遗传学
作者
Konstantinos Giannakou,Εvangelos Εvangelou,Panayiotis K. Yiallouros,Costas A. Christophi,Nicos Middleton,Evgenia Papatheodorou,Stefania Papatheodorou
出处
期刊:PLOS ONE [Public Library of Science]
卷期号:14 (4): e0215372-e0215372 被引量:123
标识
DOI:10.1371/journal.pone.0215372
摘要

Background/Objective Gestational diabetes mellitus (GDM) is a common pregnancy complication, with complex disease mechanisms, and several risk factors may contribute to its onset. We performed an umbrella review to summarize the evidence from meta-analyses of observational studies on risk factors associated with GDM, evaluate whether there are indications of biases in this literature and identify which of the previously reported associations are supported by convincing evidence. Methods We searched PubMed and ISI Web of Science from inception to December 2018 to identify meta-analyses examining associations between putative risk factors for GDM. For each meta-analysis we estimated the summary effect size, the 95% confidence interval, the 95% prediction interval, the between-study heterogeneity, evidence of small-study effects, and evidence of excess-significance bias. Results Thirty eligible meta-analyses were identified, providing data on 61 associations. Fifty (82%) associations had nominally statistically significant findings (P<0.05), while only 15 (25%) were significant at P<10−6 under the random-effects model. Only four risk factors presented convincing evidence:, low vs. normal BMI (cohort studies), BMI ~30–35 kg/m2 vs. normal BMI, BMI >35 kg/m2 vs. normal BMI, and hypothyroidism. Conclusions The compilation of results from synthesis of observational studies suggests that increased BMI and hypothyroidism show the strongest consistent evidence for an association with GDM. Diet and lifestyle modifications in pregnancy should be tested in large randomized trials. Our findings suggest that women with known thyroid disease may be offered screening for GDM earlier in pregnancy.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
可爱的函函应助bochen采纳,获得10
刚刚
Chandler完成签到,获得积分10
1秒前
万能图书馆应助莫莫采纳,获得10
1秒前
Planck发布了新的文献求助100
2秒前
zzt发布了新的文献求助10
2秒前
量子星尘发布了新的文献求助10
3秒前
斯文败类应助栗子718098采纳,获得10
4秒前
朱宣诚发布了新的文献求助10
4秒前
拼搏草莓发布了新的文献求助10
4秒前
4秒前
4秒前
lrsabrina完成签到,获得积分20
5秒前
5秒前
大模型应助晓月知风采纳,获得10
8秒前
8秒前
8秒前
科研通AI6应助zoe采纳,获得10
9秒前
赘婿应助zhang-leo采纳,获得10
9秒前
仅此而已i发布了新的文献求助10
9秒前
Sandy发布了新的文献求助30
10秒前
Jasper应助Provence采纳,获得10
10秒前
11秒前
qc发布了新的文献求助50
11秒前
元谷雪应助超人也读博采纳,获得10
12秒前
酷波er应助juanjie采纳,获得10
13秒前
仅此而已i完成签到,获得积分10
14秒前
mani完成签到,获得积分10
16秒前
大大完成签到 ,获得积分10
16秒前
搜集达人应助小华安采纳,获得10
16秒前
16秒前
17秒前
iuu完成签到,获得积分10
18秒前
qiuqiu815777完成签到,获得积分10
18秒前
小蘑菇应助ZX801采纳,获得10
19秒前
20秒前
54687完成签到,获得积分10
20秒前
拼搏草莓完成签到,获得积分10
20秒前
田様应助大黄万岁采纳,获得10
21秒前
哈哈哈完成签到,获得积分10
21秒前
22秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Binary Alloy Phase Diagrams, 2nd Edition 8000
Building Quantum Computers 800
Translanguaging in Action in English-Medium Classrooms: A Resource Book for Teachers 700
Natural Product Extraction: Principles and Applications 500
Exosomes Pipeline Insight, 2025 500
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5666162
求助须知:如何正确求助?哪些是违规求助? 4879499
关于积分的说明 15116271
捐赠科研通 4825301
什么是DOI,文献DOI怎么找? 2583190
邀请新用户注册赠送积分活动 1537255
关于科研通互助平台的介绍 1495523