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

被引:47
作者
Che, Wen-Qiang [1 ,2 ]
Li, Yuan-Jie [3 ]
Tsang, Chi-Kwan [4 ]
Wang, Yu-Jiao [5 ]
Chen, Zheng [6 ]
Wang, Xiang-Yu [1 ]
Xu, An-Ding [7 ]
Lyu, Jun [2 ,8 ]
机构
[1] Jinan Univ, Dept Neurosurg, Affiliated Hosp 1, Guangzhou 510632, Peoples R China
[2] Jinan Univ, Dept Clin Res, Affiliated Hosp 1, Guangzhou 510632, Peoples R China
[3] Jinan Univ, Planning & Discipline Construction Off, Affiliated Hosp 1, Guangzhou 510632, Peoples R China
[4] Jinan Univ, Clin Neurosci Inst, Affiliated Hosp 1, Guangzhou 510632, Peoples R China
[5] Shanxi Prov Peoples Hosp, Dept Pathol, Taiyuan 030012, Peoples R China
[6] Jinan Univ, Dept Urol, Affiliated Hosp 1, Guangzhou 510632, Peoples R China
[7] Jinan Univ, Dept Neurol, Affiliated Hosp 1, Guangzhou 510632, Peoples R China
[8] Sch Tradit Chinese Med, Guangdong Prov Key Lab Tradit Chinese Med Informat, Guangzhou 510632, Peoples R China
关键词
Surveillance; Epidemiology; and End results (SEER); Big data; Methodologies; Study design; COMPETING RISKS ANALYSIS; PROPENSITY SCORE; UNITED-STATES; SOCIOECONOMIC-STATUS; REGRESSION-MODELS; MORTALITY RISK; REAL-WORLD; SURVIVAL; CANCER; TRENDS;
D O I
10.1186/s40779-023-00488-2
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
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.
引用
收藏
页数:11
相关论文
共 111 条
  • [101] Brief introduction of medical database and data mining technology in big data era
    Yang, Jin
    Li, Yuanjie
    Liu, Qingqing
    Li, Li
    Feng, Aozi
    Wang, Tianyi
    Zheng, Shuai
    Xu, Anding
    Lyu, Jun
    [J]. JOURNAL OF EVIDENCE BASED MEDICINE, 2020, 13 (01) : 57 - 69
  • [102] Competing-risks model for predicting the prognosis of penile cancer based on the SEER database
    Yang, Jin
    Pan, Zhenyu
    He, Yujing
    Zhao, Fanfan
    Feng, Xiaojie
    Liu, Qingqing
    Lyu, Jun
    [J]. CANCER MEDICINE, 2019, 8 (18): : 7881 - 7889
  • [103] Development and Validation of Nomograms to Predict Overall Survival and Cancer-Specific Survival in Patients With Pancreatic Adenosquamous Carcinoma
    Yang, Zhen
    Shi, Guangjun
    Zhang, Ping
    [J]. FRONTIERS IN ONCOLOGY, 2022, 12
  • [104] Deep-learning model for predicting the survival of rectal adenocarcinoma patients based on a surveillance, epidemiology, and end results analysis
    Yu, Haohui
    Huang, Tao
    Feng, Bin
    Lyu, Jun
    [J]. BMC CANCER, 2022, 22 (01)
  • [105] The comparison of survival between active surveillance or watchful waiting and focal therapy for low-risk prostate cancer: a real-world study from the SEER database
    Yuan, Qi-Ming
    Lin, Tian-Hai
    Jin, Kun
    Qiu, Shi
    Zhou, Xiang-Hong
    Jin, Di
    Li, Jia-Kun
    Yang, Lu
    Wei, Qiang
    [J]. ASIAN JOURNAL OF ANDROLOGY, 2022, 24 (03) : 305 - +
  • [106] Conditional Survival in Uveal Melanoma
    Zabor, Emily C.
    Radivoyevitch, Tomas
    Singh, Arun D.
    Kilic, Emine
    de Klein, J. E. M. M.
    Kalirai, Helen
    Coupland, Sarah E.
    [J]. OPHTHALMOLOGY RETINA, 2021, 5 (06): : 536 - 542
  • [107] Causes of death among cancer patients
    Zaorsky, N. G.
    Churilla, T. M.
    Egleston, B. L.
    Fisher, S. G.
    Ridge, J. A.
    Horwitz, E. M.
    Meyer, J. E.
    [J]. ANNALS OF ONCOLOGY, 2017, 28 (02) : 400 - 407
  • [108] Cancer health disparities in racial/ethnic minorities in the United States
    Zavala, Valentina A.
    Bracci, Paige M.
    Carethers, John M.
    Carvajal-Carmona, Luis
    Coggins, Nicole B.
    Cruz-Correa, Marcia R.
    Davis, Melissa
    de Smith, Adam J.
    Dutil, Julie
    Figueiredo, Jane C.
    Fox, Rena
    Graves, Kristi D.
    Gomez, Scarlett Lin
    Llera, Andrea
    Neuhausen, Susan L.
    Newman, Lisa
    Nguyen, Tung
    Palmer, Julie R.
    Palmer, Nynikka R.
    Perez-Stable, Eliseo J.
    Piawah, Sorbarikor
    Rodriquez, Erik J.
    Sanabria-Salas, Maria Carolina
    Schmit, Stephanie L.
    Serrano-Gomez, Silvia J.
    Stern, Mariana C.
    Weitzel, Jeffrey
    Yang, Jun J.
    Zabaleta, Jovanny
    Ziv, Elad
    Fejerman, Laura
    [J]. BRITISH JOURNAL OF CANCER, 2021, 124 (02) : 315 - 332
  • [109] Big data and medical research in China
    Zhang, Luxia
    Wang, Haibo
    Li, Quanzheng
    Zhao, Ming-Hui
    Zhan, Qi-Min
    [J]. BMJ-BRITISH MEDICAL JOURNAL, 2018, 360
  • [110] Marital status and survival in patients with soft tissue sarcoma: A population-based, propensity-matched study
    Zhang, Shi-long
    Wang, Wen-rong
    Liu, Ze-juan
    Wang, Zhi-ming
    [J]. CANCER MEDICINE, 2019, 8 (02): : 465 - 479