中国药房2025，Vol.36Issue(5)：612-618,7.DOI:10.6039/j.issn.1001-0408.2025.05.19
乳腺癌化疗致骨髓抑制风险预测模型的系统评价
Systematic review of risk predictive models for chemotherapy-induced myelosuppression in breast cancer
摘要
Abstract
OBJECTIVE To systematically evaluate risk prediction models for chemotherapy-induced myelosuppression in breast cancer,and provide a scientific reference for clinical healthcare workers in selecting or developing effective predictive models.METHODS A systematic search was conducted for studies on predictive models of the risk of chemotherapy-induced myelosuppression in breast cancer across the CNKI,VIP,Wanfang,PubMed,Web of Science,Cochrane Library,Embase,and Scopus databases,with a time frame of the establishment of the database to May 7,2024.Literature was independently screened by 2 investigators,data were extracted according to critical appraisal and data extraction for systematic reviews of predictive model studies,and the risk of bias evaluation tool for predictive model studies was used to analyze the risk of bias and applicability of the included studies.RESULTS There were totally 7 studies,comprising 12 models.Among them,11 models indicated an area under the subject operating characteristic curve of 0.600-0.908;2 models indicated calibration.The common predictor variables of the included models were age,pre-chemotherapy neutrophil count,pre-chemotherapy lymphocyte count,and pre-chemotherapy albumin.The overall risk of bias of the 7 studies was high,which was mainly attributed to the flaws in the study design,insufficient sample sizes,inappropriate treatment of variables,non-reporting of missing data,and the lack of indicators for the assessment of the models,but the applicability was good.CONCLUSIONS The predictive performance of risk predictive models for chemotherapy-induced myelosuppression in breast cancer remains to be further enhanced,and the overall risk of model bias is high.Future studies should follow the specifications of model development and reporting,then combine machine learning algorithms to develop risk predictive models with good predictive performance,high stability,and low risk of bias,so as to provide a decision-making basis for the clinic.关键词
乳腺癌/化疗/骨髓抑制/风险预测模型/系统评价Key words
breast cancer/chemotherapy/myelosuppression/risk predictive model/systematic review分类
药学引用本文复制引用
刘阳,李红健,吴建华,刘学涛,焦敏,于鲁海..乳腺癌化疗致骨髓抑制风险预测模型的系统评价[J].中国药房,2025,36(5):612-618,7.基金项目
"天山英才"医药卫生高层次人才培养计划项目(No.TSYC202301A028) （No.TSYC202301A028）
