节点文献

网状Meta分析偏倚风险评估工具RoB NMA解读

An introduction to Risk of Bias in Network Meta-analysis (RoB NMA) tool

  • 推荐 CAJ下载
  • PDF下载
  • 不支持迅雷等下载工具,请取消加速工具后下载。

【作者】 赵文硕; 刘明; 史纪元; 李伦; 杨丰文; 薛付忠; 高亚;

【Author】 ZHAO Wenshuo;LIU Ming;SHI Jiyuan;LI Lun;YANG Fengwen;XUE Fuzhong;GAO Ya;Department of Medical Dataology, School of Public Health, Cheeloo College of Medicine, Shandong University;National Institute of Health Data Science of China;Lee Kong Chian School of Medicine, Nanyang Technological University;Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University;School of Nursing, Beijing University of Traditional Chinese Medicine;Department of General Surgery, The Second Xiangya Hospital of Central South University;Clinical Research Center for Breast of Hunan Province;Evidence-Based Medicine Center, Tianjin University of Traditional Chinese Medicine;Key Laboratory of Evidence-Based Evaluation of Traditional Chinese Medicine, National Medical Products Administration;

【通讯作者】 高亚;

【机构】 山东大学齐鲁医学院公共卫生学院医学数据学系; 国家健康医疗大数据研究院; 新加坡南洋理工大学李光前医学院; 兰州大学基础医学院循证医学中心; 北京中医药大学护理学院; 中南大学湘雅二医院普外科; 湖南省乳腺疾病临床医学研究中心; 天津中医药大学循证医学中心; 国家药品监督管理局中医药循证评价重点实验室;

【摘要】 现有偏倚风险评估工具主要针对传统两两比较Meta分析,难以全面评估网状Meta分析所特有的偏倚风险来源。为此,Lunny等研究者研发了针对网状Meta分析偏倚风险来源的评估工具(Risk of Bias in Network Meta-analysis,RoB NMA),专用于评估网状Meta分析在干预选择与网络结构、效应修饰因素以及统计分析等层面可能带来的偏倚。本文旨在解读RoB NMA工具的制订背景、条目内容以及评价流程,为国内研究人员使用该工具提供参考。

【Abstract】 Existing risk of bias assessment tools are primarily designed for traditional pairwise Metaanalysis and fail to comprehensively evaluate the unique sources of bias risk inherent in network Meta-analysis. Therefore, Lunny and others developed a tool the Risk of Bias in Network Meta-analysis(RoB NMA), designed specifically to evaluate potential biases in network Meta-analysis arising from aspects such as intervention selection and network structure, effect modifiers, and statistical analysis. This article aims to interpret the development background, item content, and evaluation process of the RoB NMA tool, providing reference and guidance for domestic researchers of its application.

【基金】 山东大学齐鲁青年学者项目(202499000161)
  • 【分类号】R195.1
  • 【下载频次】36
节点文献中: 

本文链接的文献网络图示:

本文的引文网络