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

Abstract 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 i...

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Main Authors: Wen-Qiang Che, Yuan-Jie Li, Chi-Kwan Tsang, Yu-Jiao Wang, Zheng Chen, Xiang-Yu Wang, An-Ding Xu, Jun Lyu
Format: Article
Language:English
Published: BMC 2023-10-01
Series:Military Medical Research
Subjects:
Online Access:https://doi.org/10.1186/s40779-023-00488-2
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author Wen-Qiang Che
Yuan-Jie Li
Chi-Kwan Tsang
Yu-Jiao Wang
Zheng Chen
Xiang-Yu Wang
An-Ding Xu
Jun Lyu
author_facet Wen-Qiang Che
Yuan-Jie Li
Chi-Kwan Tsang
Yu-Jiao Wang
Zheng Chen
Xiang-Yu Wang
An-Ding Xu
Jun Lyu
author_sort Wen-Qiang Che
collection DOAJ
description Abstract 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.
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spelling doaj.art-c39a5513475b4c1c8040229e0114d6a62023-11-05T12:11:10ZengBMCMilitary Medical Research2054-93692023-10-0110111110.1186/s40779-023-00488-2How to use the Surveillance, Epidemiology, and End Results (SEER) data: research design and methodologyWen-Qiang Che0Yuan-Jie Li1Chi-Kwan Tsang2Yu-Jiao Wang3Zheng Chen4Xiang-Yu Wang5An-Ding Xu6Jun Lyu7Department of Neurosurgery, the First Affiliated Hospital of Jinan UniversityPlanning & Discipline Construction Office, the First Affiliated Hospital of Jinan UniversityClinical Neuroscience Institute, the First Affiliated Hospital of Jinan UniversityDepartment of Pathology, Shanxi Provincial People’s HospitalDepartment of Urology, the First Affiliated Hospital of Jinan UniversityDepartment of Neurosurgery, the First Affiliated Hospital of Jinan UniversityDepartment of Neurology, the First Affiliated Hospital of Jinan UniversityDepartment of Clinical Research, the First Affiliated Hospital of Jinan UniversityAbstract 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.https://doi.org/10.1186/s40779-023-00488-2Surveillance, Epidemiology, and End results (SEER)Big dataEpidemiologyMethodologiesStudy design
spellingShingle Wen-Qiang Che
Yuan-Jie Li
Chi-Kwan Tsang
Yu-Jiao Wang
Zheng Chen
Xiang-Yu Wang
An-Ding Xu
Jun Lyu
How to use the Surveillance, Epidemiology, and End Results (SEER) data: research design and methodology
Military Medical Research
Surveillance, Epidemiology, and End results (SEER)
Big data
Epidemiology
Methodologies
Study design
title How to use the Surveillance, Epidemiology, and End Results (SEER) data: research design and methodology
title_full How to use the Surveillance, Epidemiology, and End Results (SEER) data: research design and methodology
title_fullStr How to use the Surveillance, Epidemiology, and End Results (SEER) data: research design and methodology
title_full_unstemmed How to use the Surveillance, Epidemiology, and End Results (SEER) data: research design and methodology
title_short How to use the Surveillance, Epidemiology, and End Results (SEER) data: research design and methodology
title_sort how to use the surveillance epidemiology and end results seer data research design and methodology
topic Surveillance, Epidemiology, and End results (SEER)
Big data
Epidemiology
Methodologies
Study design
url https://doi.org/10.1186/s40779-023-00488-2
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