| 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 Name | Affiliation | E-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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