Department of Neurosurgery, the First Affiliated Hospital of Jinan University, Guangzhou, 510632, China.
Department of Clinical Research, the First Affiliated Hospital of Jinan University, Guangzhou, 510632, China.
Mil Med Res. 2023 Oct 31;10(1):50. doi: 10.1186/s40779-023-00488-2.
In the United States (US), the Surveillance, Epidemiology, and End Results (SEER) program is the only comprehensive source of population-based information that includes stage of cancer at the time of diagnosis and patient survival data. This program aims to provide a database about cancer incidence and survival for studies of surveillance and the development of analytical and methodological tools in the cancer field. Currently, the SEER program covers approximately half of the total cancer patients in the US. A growing number of clinical studies have applied the SEER database in various aspects. However, the intrinsic features of the SEER database, such as the huge data volume and complexity of data types, have hindered its application. In this review, we provided a systematic overview of the commonly used methodologies and study designs for retrospective epidemiological research in order to illustrate the application of the SEER database. Therefore, the goal of this review is to assist researchers in the selection of appropriate methods and study designs for enhancing the robustness and reliability of clinical studies by mining the SEER database.
在美国,监测、流行病学和最终结果 (SEER) 计划是唯一全面的基于人群的信息来源,其中包括诊断时癌症的分期和患者生存数据。该计划旨在提供关于癌症发病率和生存的数据库,用于监测研究以及癌症领域分析和方法工具的开发。目前,SEER 计划涵盖了美国大约一半的癌症患者。越来越多的临床研究已经将 SEER 数据库应用于各个方面。然而,SEER 数据库的内在特征,如庞大的数据量和复杂的数据类型,阻碍了其应用。在这篇综述中,我们系统地概述了回顾性流行病学研究中常用的方法学和研究设计,以说明 SEER 数据库的应用。因此,本综述的目的是通过挖掘 SEER 数据库,为研究人员提供选择适当的方法和研究设计的建议,以提高临床研究的稳健性和可靠性。