Lampeter Thomas, Love Charles, Tang Trien T, Marella Aditi S, Lee Hayden Y, Oganyan Armani, Moffat Devin, Kareem Anisha, Rusling Matthew, Massmann Aubrey, Orr Melanie, Bongiorno Christian, Yuan Li-Lian
New York Institute of Technology College of Osteopathic Medicine, Glen Head, NY, USA.
Des Moines University College of Osteopathic Medicine, Des Moines, IA, USA.
Gut Microbiome (Camb). 2023 Aug 18;4:e13. doi: 10.1017/gmb.2023.12. eCollection 2023.
Risk of bias assessment is a critical step of any meta-analysis or systematic review. Given the low sample count of many microbiome studies, especially observational or cohort studies involving human subjects, many microbiome studies have low power. This increases the importance of performing meta-analysis and systematic review for microbiome research in order to enhance the relevance and applicability of microbiome results. This work proposes a method based on the ROBINS-I tool to systematically consider sources of bias in microbiome research seeking to perform meta-analysis or systematic review for microbiome studies.
偏倚风险评估是任何荟萃分析或系统评价的关键步骤。鉴于许多微生物组研究的样本量较少，尤其是涉及人类受试者的观察性研究或队列研究，许多微生物组研究的效能较低。这增加了对微生物组研究进行荟萃分析和系统评价的重要性，以便提高微生物组研究结果的相关性和适用性。这项工作提出了一种基于ROBINS-I工具的方法，以系统地考虑微生物组研究中偏倚的来源，旨在对微生物组研究进行荟萃分析或系统评价。
