Department of Gastroenterology, Peking Union Medical College Hospital (PUMCH), Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC), Beijing, China.
Department of Clinical Epidemiology and EBM, Beijing Friendship Hospital, Capital Medical University; National Clinical Research Center for Digestive Diseases, Beijing, China.
BMJ Open. 2021 Mar 2;11(3):e045810. doi: 10.1136/bmjopen-2020-045810.
The human stomach is a complex and diverse microbial ecosystem. Consecutive alternations of gastric microbiota occur in gastric carcinogenesis, while the changing pattern during this process remains controversial across studies. We aim to identify the changes in the diversity and composition of gastric mucosal microbiota in gastric tumorigenesis.
We will search through PubMed, EMBASE and Cochrane databases, as well as conference proceedings and references of review articles for observational articles reporting either the relative abundance of bacteria at the phylum or genus level or at least one of the alpha diversity indexes respectively and clearly in both gastric cancer and non-cancer groups. Selection of studies and data extraction will be performed independently by two researchers. Disagreements will be resolved through discussion. Risk of bias will be assessed using the modified Newcastle-Ottawa Scale. Quantitative analyses will be performed using a random effects model, where the effect measurement will be expressed as the MD.
Ethical approval for this systematic review is not required, as the study is based exclusively on published documents and will not include any individual data. Findings of this study are expected to be disseminated through peer-reviewed journals or conference proceedings.
CRD42020206973.
人类的胃是一个复杂多样的微生物生态系统。胃微生物群在胃癌发生过程中连续交替，而这一过程中的变化模式在不同研究中仍存在争议。我们旨在确定胃黏膜微生物菌群在胃癌发生过程中的多样性和组成变化。
我们将通过 PubMed、EMBASE 和 Cochrane 数据库，以及会议记录和综述文章的参考文献，搜索报告细菌相对丰度（分别在门或属水平上）或至少一个 alpha 多样性指数的观察性文章，分别在胃癌和非癌组中明确报告。由两名研究人员独立进行研究选择和数据提取。通过讨论解决分歧。使用改良的纽卡斯尔-渥太华量表评估偏倚风险。使用随机效应模型进行定量分析，其中效应测量将表示为 MD。
本系统评价不需要伦理批准，因为这项研究完全基于已发表的文献，不会包括任何个人数据。预计这项研究的结果将通过同行评议的期刊或会议记录传播。
PROSPERO 注册号：CRD42020206973。
