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如何整合随机与非随机干预研究 被引量:3

How to integrate randomized and non-randomized studies of interventions
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摘要 高质量随机对照试验是解释医疗卫生干预措施与结局之间关系的最佳证据来源,但在其不充足、不直接、不适合等情况下,研究者可能需要纳入非随机干预试验以扩充证据数量和增强证据确信度(质量)。GRADE工作组的最新研究为指导研究人员正确整合随机与非随机干预研究证据提供了方法。本文将基于最新和既往研究,介绍相关方法学,旨在为系统评价制作者、卫生技术评估人员、指南制订者和使用GRADE进行证据综合的其他研究人员提供指引。 High-quality randomized controlled trials are the best source of evidence to explain the relationship between health interventions and outcomes. However, in cases where they are insufficient, indirect, or inappropriate,researchers may need to include non-randomized studies of interventions to strengthen the evidence body and improve the certainty(quality) of evidence. The latest research from the GRADE working group provides a way for researchers to integrate randomized and non-randomized evidence. The present paper introduced the relevant methods to provide guidance for systematic reviewers, health technology assessors, and guideline developers.
作者 赖鸿皓 田晨 朱鸿飞 杨秋玉 孙铭谣 田金徽 葛龙 殷敏 LAI Honghao;TIAN Chen;ZHU Hongfei;YANG Qiuyu;SUN Mingyao;TIAN Jinhui;GE Long;YIN Min(Evidence-Based Social Science Research Center,School of Public Health,Lanzhou University,Lanzhou 730000,P.R.China;Department of Social Science and Health Management,School of Public Health,Lanzhou University,Lanzhou 730000,P.R.China;Evidence Based Nursing Centre,School of Nursing,Lanzhou University,Lanzhou 730000,P.R.China;Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province,Lanzhou 730000,P.R.China;Evidence Based Medicine Center,School of Basic Medical Sciences,Lanzhou University,Lanzhou 730000,P.R.China;Health Examination Center,The First Hospital of Lanzhou University,Lanzhou 730000,P.R.China)
出处 《中国循证医学杂志》 CSCD 北大核心 2022年第7期836-841,共6页 Chinese Journal of Evidence-based Medicine
基金 中央级公益性科研院所基本科研业务费项目(编号:ZZ15-WT-05)。
关键词 GRADE方法 证据质量 证据确信度 非随机 偏倚风险 GRADE method Quality of evidence Certainty of evidence Non-randomized study Risk of bias
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