In the future,anti-ship missiles(ASM) will be major weapons in the sea war.It is very important to handle the profile of the casualties aboard warships attacked by ASM for development of naval health service.The statistical result shows there is a greater chance of casualties but less chance of warships being sunken by ASM.Besides,medical staffs should pay more attention to the first aid for victims due to blast,burn,smoke inhalation and penetration while the danger of the sea water immersion should not be ignored.

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.