武警医学2026，Vol.37Issue(2)：123-131,9.
中国骨质疏松性椎体压缩骨折椎体强化术后残余痛风险预测模型的meta分析
Meta-analysis of the risk prediction model of residual pain after vertebroplasty for osteo-porotic vertebral compression fractures in China
摘要
Abstract
Objective To systematically evaluate the risk prediction models of residual pain after vertebroplasty for osteoporot-ic vertebral compression fractures in China,and to provide references for clinical practice.Methods Relevant studies were retrieved from databases including CNKI,Wanfang Data,Chinese Biomedical Literature Database,VIP Database,PubMed,Web of Science,Cochrane Library,and EMbase.The search period was from the establishment of the database to May 31,2025.Two researchers inde-pendently screened the literature and extracted the data.The quality of the literature was evaluated using the Prediction Model Risk of Bias Assessment Tool(PROBAST),and a meta-analysis of the high-frequency predictors was conducted using RevMan 5.4 software.Results A total of 24 articles were included,including 33 prediction models.The total sample size ranged from 45 to 610 cases.The C-index of the included models was 0.774-0.94,and the area under the receiver operating characteristic curve ranged from 0.70-0.94.The results of the PROBAST showed that the overall applicability of the included risk prediction models was good,but the risk of bias was high,which was related to the data source of the study subjects,the blind control of outcome assessment,the handling of missing data,and the imperfect evaluation of model performance.Conclusions Fascial injury,intravertebral vacuum fissure,bone ce-ment distribution,and bone density are common high-frequency predictors.Clinicians should pay special attention to these factors.The risk prediction models for residual pain after vertebral augmentation surgery for osteoporotic vertebral compression fractures in China still have deficiencies.In the future,the quality of related model research should be further improved,and the external validation and clini-cal applicability research of the model should be strengthened.关键词
骨质疏松性椎体压缩骨折/椎体强化术/残余痛/风险预测模型/系统评价/循证护理Key words
osteoporotic vertebral compression fractures/vertebroplasty/residual pain/risk prediction model/systematic re-view/evidence-based nursing分类
医药卫生引用本文复制引用
常梦静,崔琳,郑雪梅,盛珺,刘达,廖冬发..中国骨质疏松性椎体压缩骨折椎体强化术后残余痛风险预测模型的meta分析[J].武警医学,2026,37(2):123-131,9.基金项目
四川省自然科学基金(2022NSFSC0664) （2022NSFSC0664）
