Impact ofHelicobacter pylorion the gastric microbiome in patients with chronic gastritis: a systematic review and meta-analysis protocol

BMJ Open(2023)

引用 1|浏览0
暂无评分
摘要
IntroductionChronic gastritis is a common disease worldwide. Studies have consistently shown that chronic gastritis is usually associated with gastric microbial dysbiosis, especially the infection ofHelicobacter pylori. However, the interaction betweenH. pyloriand non-H. pyloribacteria in patients with chronic gastritis has not been clearly identified yet. Consequently, we designed a protocol for a systematic review and meta-analysis, which focused on identifying the changes in gastrointestinal microbiota composition between patients withH. pylori-infective and non-infective chronic gastritis.Method and analysisWe will search PubMed, EMBASE and Cochrane Library databases to retrieve observational studies on humans. The eligible studies must include data about the relative abundance of the gastrointestinal microbiome in patients withH. pylori-infective or non-infective chronic gastritis. Only the data of adults aged over 18 years will be analysed. Two researchers will extract the data independently, and Newcastle–Ottawa Scale will be used to assess the risk of bias. Random-effects model will be performed in quantitative analyses. Correlation analysis, bioinformatics analysis and function analysis will be performed.DiscussionCurrently, numerous studies have revealed the role ofH. pyloriin chronic gastritis. However, the alterations of non-H. pyloribacteria in patients with chronic gastritis remain an open question. The results of our study might provide new insights into future diagnosis and treatments.Ethics and disseminationThis study is based on published documents, unrelated to personal data, so ethical approval is not in need. The results of this study are expected to be published in journals or conference proceedings.PROSPERO registration numberCRD42020205260; Pre-results.
更多
查看译文
关键词
gastric microbiome,chronic gastritis,systematic review,meta-analysis
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要