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How to use the Surveillance, Epidemiology, and End Results (SEER) data: research design and methodology

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收录情况: ◇ 统计源期刊 ◇ CSCD-C ◇ 卓越:梯队期刊

机构: [1]Department of Neurosurgery, the First Afliated Hospital of Jinan University, Guangzhou 510632, China [2]Department of Clinical Research, the First Afliated Hospital of Jinan University, Guangzhou 510632, China [3]Planning & Discipline Construction Ofce, the First Afliated Hospital of Jinan University, Guangzhou 510632, China [4]Clinical Neuroscience Institute, the First Afliated Hospital of Jinan University, Guangzhou 510632, China [5]Department of Pathology, Shanxi Provincial People’s Hospital, Taiyuan 030012, China [6]Department of Urology, the First Afliated Hospital of Jinan University, Guangzhou 510632, China [7]Department of Neurology, the First Afliated Hospital of Jinan University, Guangzhou 510632, China [8]Guangdong Provincial Key Laboratory of Traditional Chinese Medicine Informatization, Guangzhou 510632, China
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关键词: Surveillance Epidemiology and End results (SEER) Big data Methodologies Study design

摘要:
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.© 2023. The Author(s).

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出版当年[2022]版:
大类 | 1 区 医学
小类 | 1 区 医学:内科
最新[2025]版:
大类 | 1 区 医学
小类 | 1 区 医学:内科
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第一作者机构: [1]Department of Neurosurgery, the First Afliated Hospital of Jinan University, Guangzhou 510632, China [2]Department of Clinical Research, the First Afliated Hospital of Jinan University, Guangzhou 510632, China
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通讯机构: [2]Department of Clinical Research, the First Afliated Hospital of Jinan University, Guangzhou 510632, China [8]Guangdong Provincial Key Laboratory of Traditional Chinese Medicine Informatization, Guangzhou 510632, China
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