Mi Donghua, Fang Hongjuan, Zhao Yaqun, Zhong Liyong
Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, P.R. China.
Department of Endocrinology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, P.R. China.
Exp Ther Med. 2017 Dec;14(6):5313-5320. doi: 10.3892/etm.2017.5234. Epub 2017 Sep 29.
The prevalence of T2DM is increasing around the world on a yearly basis. A meta-analysis was conducted to analyze the association between birth weight and incidence of type 2 diabetes mellitus (T2DM). A literature search was performed from January 1990 to June 2016 in PubMed, ScienceDirect, SpringerLink, China National Knowledge Infrastructure and Chinese Biomedical Literature Database. After reviewing characteristics of all the included studies systematically, a meta-analytical method was employed to calculate the pooled odds ratios (ORs) and associated 95% confidence intervals (CI) from random-effects models. Heterogeneity was assessed by Q-statistic test. Funnel plot, Begg's and Egger's linear regression tests were applied to evaluate publication bias. A sensitivity analysis was also performed to assess the robustness of results. According to inclusion and exclusion criteria, 8 studies were selected to be included in the meta-analysis. Compared with normal birth weight (2,500-4,000 g), low birth weight (<2,500 g) was associated with an increased risk of T2DM (OR, 1.55; 95% CI, 1.39-1.73; P<0.001). No significant difference was observed between high birth weight (>4,000 g) and normal birth weight in terms of the risk of T2DM (OR, 0.98; 95% CI, 0.79-1.22). Compared with high birth weight, low birth weight was associated with an increased risk of diabetes mellitus (OR, 1.58; 95% CI, 1.30-1.93; P<0.001). These findings indicated that there may be an inverse linear association between birth weight and T2DM.
全球范围内,2型糖尿病(T2DM)的患病率逐年上升。开展了一项荟萃分析,以分析出生体重与2型糖尿病(T2DM)发病率之间的关联。于1990年1月至2016年6月在PubMed、ScienceDirect、SpringerLink、中国知网和中国生物医学文献数据库中进行文献检索。在系统回顾所有纳入研究的特征后,采用荟萃分析方法从随机效应模型计算合并比值比(OR)及相关的95%置信区间(CI)。通过Q统计检验评估异质性。应用漏斗图、Begg检验和Egger线性回归检验评估发表偏倚。还进行了敏感性分析以评估结果的稳健性。根据纳入和排除标准,选择8项研究纳入荟萃分析。与正常出生体重(2500 - 4000 g)相比,低出生体重(<2500 g)与T2DM风险增加相关(OR,1.55;95% CI,1.39 - 1.73;P<0.001)。在T2DM风险方面,高出生体重(>4000 g)与正常出生体重之间未观察到显著差异(OR,0.98;95% CI,0.79 - 1.22)。与高出生体重相比,低出生体重与糖尿病风险增加相关(OR,1.58;95% CI,1.30 - 1.93;P<0.001)。这些发现表明出生体重与T2DM之间可能存在负线性关联。