This paper explores the methodological characteristics and key considerations of umbrella trials. By allocating different treatment strategies based on patients' molecular features, umbrella trials significantly enhance screening efficiency and can quickly identify ineffective therapies. Through the analysis of patient allocation strategies, statistical model selection, and error control methods, we can better utilize this design to accelerate drug development and achieve more efficient personalized treatment. However, despite significant progress in methodology and practice, umbrella trials still face multiple challenges during implementation, including trial design, sample size calculation, patient recruitment, informed consent, and resource allocation. Addressing these challenges in the future will help further optimize the application of umbrella trials. This study aims to provide thoughts and inspirations for researchers conducting umbrella trials and promote the steady development of this field.
