Predictive models for the outcome of trial of labor after cesarean: a scoping review
10.3760/cma.j.cn115682-20230525-02068
- VernacularTitle:剖宫产术后再次妊娠阴道试产结局预测模型的范围综述
- Author:
Meiwen CHEN
1
;
Siyu SHAN
;
Haoyang CHEN
Author Information
1. 中国医科大学附属盛京医院分娩室，沈阳 110000
- Keywords:
Review;
Cesarean section;
Repregnancy;
Mode of delivery;
Vaginal trial labor;
Predictive model
- From:
Chinese Journal of Modern Nursing
2024;30(2):249-256
- CountryChina
- Language:Chinese
-
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.
