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幽门螺杆菌感染与自身免疫性甲状腺病关系的meta分析 被引量:4

Meta Analysis of Relationship between Helicobacter pylori Infection and Autoimmune Thyroid Diseases
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摘要 目的通过meta分析探讨幽门螺杆菌(H.pylori)感染与自身免疫性甲状腺病(ATDs)的相关性。方法检索国内外各大型数据库自建库至2015年10月发表的有关H.pylori感染与ATDs关系的文献。由2名研究人员独立提取资料并评价纳入文献质量,采用Revman 5.3软件分析,计算合并OR值及其95%CI。结果共12篇文献纳入研究,总样本量1 615例,病例组918例,对照组697例。与对照组比较,H.pylori感染增加ATDs发生风险[OR=1.86,95%CI为(1.18,2.94)];H.pylori细胞毒素相关蛋白(H.Pylori-Cag A)阳性菌株感染增加ATDs发生风险[OR=2.66,95%CI为(1.61,4.41);H.pylori感染与格雷夫斯(Graves)病[OR=3.37,95%CI为(1.90,5.97)]和桥本甲状腺炎[OR=1.83,95%CI为(1.22,2.76)的发生均有关。发表偏倚和敏感性分析证实上述meta分析结果是稳定和可靠的。结论 H.Pylori感染与ATDs的发生有关。 Objective To investigate the association between Helicobacter pylori(H. pylori)infection and Autoimmune thyroid diseases(ATDs). Methods The literatures on the association of H. pylori with ATDs were retrieved by searching databases from the inception of each database to October 2015. Data extraction and quality assessment were completed by two authors. Meta analysis was performed using Rev Man 5.3software,calculating the odds ratio and 95%confidence interval. Results Twelve papers were included for the meta-analysis. The total sample size was 1 615,with 918 cases and 697 controls,respectively. Compared with the controls,H.pylori infection significantly increased the risk of autoimmune thyroid diseases development with a pooled of[OR =1.86,95% CI(1.18,2.94)]. H. Pylori-Cag A infection significantly increased the risk of autoimmune thyroid diseases development with a pooled of[OR =2.66,95% CI(1.61,4.41)]. H. pylori infection is associated with Graves disease[OR =3.37,95% CI(1.90-5.97)]and Hashimoto′s thyroiditis[OR =1.83,95% CI(1.22,2.76)]. The results of publication bias and sensitivity analysis confirmed the reliability and stability of this meta analysis. Conclusion H. pylori infection may be associated with an increased risk of developing the autoimmune thyroid diseases.
出处 《中国医科大学学报》 CAS CSCD 北大核心 2016年第8期733-738,共6页 Journal of China Medical University
关键词 幽门螺杆菌 自身免疫性甲状腺病 META分析 Helicobacter pylori autoimmune thyroid diseases meta analysis
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