摘要
目的 对剖宫产术后再次妊娠阴道试产(TOLAC)结局预测模型进行范围综述,为模型临床应用提供参考.方法 检索PubMed、Embase、Web pf Science、Cochrane Library、中国知网、万方数据库、维普网和中国生物医学文献数据库中有关TOLAC结局预测模型的文献,检索时限均为建库至2023年5月1日.由2名研究者独立筛选文献和提取数据,并采用预测模型研究的偏倚风险评估工具PROBAST分析纳人文献的偏倚风险和适用性.结果 共纳入24篇文献,研究设计以回顾性研究为主,模型拟合方法多样,预测性能较好.TOLAC结局预测模型的预测因子主要为Bishop评分、体重指数、临产方式、年龄、妊娠天数或周数和阴道分娩史.结论 未来TOLAC结局预测模型构建研究可倾向于前瞻性研究设计,在研究设计、模型拟合方法、模型的评价和验证方面应进一步完善.
Abstract
Objective To implement a scoping review on prediction models for the outcome of the trial of labor after cesarean(TOLAC),providing a reference for the clinical application of the model.Methods Literature on TOLAC outcome prediction models was searched in PubMed,Embase,Web of Science,Cochrane Library,China National Knowledge Infrastructure,WanFang Data,VIP,and China Biology Medicine disc.The search period was from database establishment to May 1,2023.Two researchers independently screened literature and extracted data,and used the prediction model risk of bias assessment tool(PROBAST)to analyze the risk of bias and applicability of the included studies.Results A total of 24 articles were included.The research design was mainly retrospective,with diverse model fitting methods and good predictive performance.The predictive factors of the TOLAC outcome prediction model especially included Bishop score,body mass index,mode of delivery,age,pregnancy days or weeks,and vaginal delivery history.Conclusions In the future,research on the construction of TOLAC outcome prediction models may lean towards prospective research design,further improving research design,model fitting methods,model evaluation,and validation.
NETL
NSTL
维普
万方数据