Abstract
孙凤,高乐,杨智荣,詹思延.偏倚风险评估系列:(五)非随机干预性研究[J].Chinese journal of Epidemiology,2018,39(3):374-381
偏倚风险评估系列:(五)非随机干预性研究
Series of risk of bias assessment (5): Risk Of Bias In Non-randomized Studies-of Interventions (ROBINS-I)
Received:July 04, 2017  
DOI:10.3760/cma.j.issn.0254-6450.2018.03.024
KeyWord: 偏倚风险  评估工具  非随机干预性研究  观察性临床研究  系统综述
English Key Word: Risk of bias  Tool for assessment  Non-randomised Studies-of Interventions  Observational clinical study  Systematic review
FundProject:国家自然科学基金(71673003)
Author NameAffiliationE-mail
Sun Feng Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
Center of Evidence-based Medicine and Clinical Research, Peking University, Beijing 100191, China 
 
Gao Le Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China  
Yang Zhirong Center of Evidence-based Medicine and Clinical Research, Peking University, Beijing 100191, China  
Zhan Siyan Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
Center of Evidence-based Medicine and Clinical Research, Peking University, Beijing 100191, China 
siyan-zhan@bjmu.edu.cn 
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Abstract:
      对非随机干预性研究(NRSI)偏倚评估工具ROBINS-I(Risk Of Bias In Non-randomised Studies-of Interventions)的主要内容进行详细介绍,并举例说明ROBINS-I的使用方法和注意事项。ROBINS-I针对NRSI的特点,设置了相应的评估领域和信号问题,为NRSI纳入系统综述进行证据整合提供偏倚风险信息。ROBINS-I为观察性研究和类实验领域新开发的评估工具,现已得到了一定程度的应用,但仍在进一步完善中,使用者可持续关注其后续更新与进展。
English Abstract:
      This paper summaries the Risk Of Bias In Non-randomized Studies-of Interventions (ROBINS-I), a tool for evaluating risk of bias about Non-randomized Studies-of Interventions (NRSI), and introduces the application of ROBINS-I in a published NRSI. According to the characteristics of NRSI, evaluation field and signaling question were designed in ROBINS-I to provide essential information about risk of bias for NRSI included in systematic reviews. ROBINS-I is the tool in assessment of risk of bias in observational studies and quasi-randomised studies. Although the tool has been used in practice to some extent, but it still needs further improvement. Attention should be paid to its update and progress.
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