目的 系统评价妇科恶性肿瘤术后下肢淋巴水肿（lower limb lymphedema,LLL）风险预测模型，为临床筛选适宜的风险评估工具提供证据支持。方法 检索PubMed、Cochrane library、Web of Science、中国知网、万方和维普等数据库中相关的研究。2名研究者独立筛选文献、提取数据，使用PROBAST工具评价研究偏倚风险，并用Stata 18.0软件对共同预测因子进行Meta分析。结果 共纳入10项研究，涉及11个模型。预测模型的受试者工作特征曲线下面积为0.631~0.950。预测模型适用性良好，但整体偏倚风险较高。Meta分析显示：放疗、淋巴结清扫、体质指数、年龄、高血压病史、病理分期为有效预测因子。结论 现有妇科恶性肿瘤术后LLL风险预测模型尚处于发展阶段。未来开发模型应优化模型设计和规范报告流程，以支持妇科恶性肿瘤术后LLL高危人群的早期筛查和精准干预。

Objective To systematically review risk prediction models for lower limb lymphedema (LLL) after surgery for gynecological malignancies，and to provide evidence for selecting appropriate risk assessment tools in clinical practice.Methods Relevant studies were retrieved from databases including PubMed，Cochrane library，Web of Science，CNKI，Wanfang，and VIP.2 researchers independently screened the literature，extracted data，assessed the risk of bias using the PROBAST tool，and performed a Meta-analysis of common predictors using Stata 18.0 software.Results 10 studies involving 11 models were included.The area under the receiver operating characteristic curve of the prediction models ranged from 0.631 to 0.950.The prediction models showed good applicability，but the overall risk of bias was high.The Meta-analysis indicated that radiotherapy，lymph node dissection，BMI，age，history of hypertension，and pathological stage were effective predictors.Conclusions Existing risk prediction models for LLL after surgery for gynecological malignancies are still in the development stage.Future development should focus on optimizing model design and standardizing the reporting process to support early screening and precise intervention for high-risk population of LLL after surgery for gynecological malignancies.

R47；R473.71

四川省科技厅科技创新基地（平台）和人才计划（2023JDKP0067）