内科2023，Vol.18Issue(6)：531-537,7.DOI:10.16121/j.cnki.cn45-1347/r.2023.06.05
缺血性脑卒中后抑郁风险预测模型的系统评价
A systematic review of prediction models for post-ischemic stroke depression risks
摘要
Abstract
Objective To evaluate the existing prediction models for post-ischemic stroke depression risks.Methods A comprehensive search was performed to identify studies on prediction models for post-ischemic stroke depression risks in the following databases,CINAHL,Embase,Medline,The Cochrane Library,Web of Science,PubMed,CNKI,VIP,China Biomedical Literature Database,and Wanfang Database,and the date of publication was set from the inception to July 13th,2022.Two reviewers independently screened the studies,extracted data under the guidance of a checklist on Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies,and analyzed the risk of bias and applicability of the included studies using Prediction Model Risk of Bias Assessment Tool.Results A total of 9 studies were enrolled,including 9 prediction models for post-ischemic stroke depression risks,and their areas under the receiver operating characteristic curves varied from 0.780 to 0.928.The predictors of the 9 prediction models mainly included National Institutes of Health Stroke Scale score,Barthel Index,age,and hypertension.The overall applicability of 5 studies was quite good,while the overall applicability of the other 4 studies was unclear;the risks of bias of the 9 studies were high.Conclusions The study on prediction models for post-ischemic stroke depression risks is still in the developing stage;multi-center research with large sample sizes should be carried out in the future to develop models with both accuracy and simplicity and optimize the models by external validation.关键词
缺血性脑卒中/抑郁/并发症/预测模型/系统评价Key words
Ischemic stroke/Depression/Complication/Prediction model/Systematic review分类
医药卫生引用本文复制引用
杨金盘,马秋平,张佳琳,刘裕君,杨春晓..缺血性脑卒中后抑郁风险预测模型的系统评价[J].内科,2023,18(6):531-537,7.基金项目
广西中医药大学高层次人才培育创新团队资助项目(2022A010) （2022A010）
