PROBAST:诊断或预后多因素预测模型研究偏倚风险的评估工具  

PROBAST:a tool for assessing risk of bias in the study of diagnostic or prognostic multi-factorial predictive models

作　　者：陈香萍[1] 张奕 庄一渝[2] 章仲恒[3] CHEN Xiangping;ZHANG Yi;ZHUANG Yiyu;ZHANG Zhongheng(Department of Intensive Care Medicine,Sir Run Run Shaw Hospital,Zhejiang University School of Medicine,Hangzhou 310016,P.R.China;Department of Nursing,Sir Run Run Shaw Hospital,Zhejiang University School of Medicine,Hangzhou 310016,P.R.China;Department of Emergency Medicine,Sir Run Run Shaw Hospital,Zhejiang University School of Medicine,Hangzhou 310016,P.R.China)

机构地区：[1]浙江大学医学院附属邵逸夫医院重症医学科,杭州310016 [2]浙江大学医学院附属邵逸夫医院护理部,杭州310016 [3]浙江大学医学院附属邵逸夫医院急诊医学科,杭州310016

出　　处：《中国循证医学杂志》2020年第6期737-744,共8页Chinese Journal of Evidence-based Medicine

基　　金：中华护理学会2018年度立项科研课题(编号:ZHKY201820)。

摘　　要：本文介绍采用PROBAST(prediction model risk of bias assessment tool)工具评估诊断或预后多因素预测模型研究的偏倚风险和适用性,包括该工具的制定背景、适用范围和使用方法,同时采用PROBAST工具进行了实例分析。该工具主要涉及研究对象、预测因子、结果和统计分析4个领域,通过这4个领域对研究的偏倚风险进行评估,适用性则由前3个领域进行判断。PROBAST工具为诊断或预后多因素预测模型研究的评价提供了规范的评价方法,从而筛选出合格的文献进行数据分析,帮助临床决策建立科学基础。This study aims to introduce how to use the PROBAST(prediction model risk of bias assessment tool)to evaluate risk of bias and applicability of the study of diagnostic or prognostic predictive models,including the introduction of the background,the scope of application and use of the tool.This tool mainly involves the four areas of participants,predictors,outcomes and analyses.The risk of bias in the research is evaluated through the four areas,while the applicability is evaluated in the first three.PROBAST provides a standardized approach to evaluate the critical appraisal of the study of diagnostic or prognostic predictive models,which screens qualified literature for data analysis and helps to establish a scientific basis for clinical decision-making.

关 键 词：PROBAST 预测模型 系统评价 偏倚风险 

分 类 号：R-03[医药卫生]