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OA

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.