Time trends and other sources of variation in Helicobacter pylori infection in mainland China: A systematic review and meta‐analysis

中国大陆 荟萃分析 幽门螺杆菌 随机效应模型 人口学 疾病 中国 医学 内科学 环境卫生 地理 社会学 考古
作者
Mengmeng Li,Yuanyuan Sun,Jun Yang,Catherine de Martel,Hadrien Charvat,Gary M. Clifford,Salvatore Vaccarella,Li Wang
出处
期刊:Helicobacter [Wiley]
卷期号:25 (5): e12729-e12729 被引量:67
标识
DOI:10.1111/hel.12729
摘要

Abstract Background Helicobacter pylori ( H pylori ) is a carcinogen that causes a huge burden of gastric cancer in China. We aimed to evaluate the temporal trends and other sources of variation of H pylori infection in adults from mainland China. Materials and methods For this systematic review and meta‐analysis, we searched PubMed, Embase, China National Knowledge Infrastructure, and Wanfang databases for articles published from January 1983 to June 2020. We included studies reporting H pylori prevalence in adults and then applied random effect meta‐analyses to obtain pooled prevalence estimates for all studies and subgroups. Sources of heterogeneity were investigated by moderator analysis, and time trends were assessed through random effect meta‐regression. Results Of the 2121 studies identified, 98 were eligible for inclusion. The pooled estimate of 670 572 participants from 26 provinces during 1983‐2018 was 49.6% (95% CI: 46.9%, 52.4%). H pylori prevalence varied considerably, ranging from 20.6% to 81.8%. Periods, urban/rural status, detection method, and study design explained 18.8%, 24.0%, 17.8%, and 30.4% of the heterogeneity, respectively. Overall, H pylori prevalence declined by −0.9% (95% CI: −1.1%, −0.6%) annually. Consistent declines in prevalence were observed by sex, age, and study characteristics. Conclusions Helicobacter pylori prevalence is slowly decreasing over time in mainland China, but the low declining speed is not enough to have a major impact on gastric cancer incidence for many years. The time trends and the large heterogeneity should be taken into account when conducting regional comparisons, disease burden estimations, and customized strategy making.
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