Cargando…

Analysis of the Trends in Publications on Clinical Cancer Research in Mainland China from the Surveillance, Epidemiology, and End Results (SEER) Database: Bibliometric Study

BACKGROUND: The application of China’s big data sector in cancer research is just the beginning. In recent decades, more and more Chinese scholars have used the Surveillance, Epidemiology, and End Results (SEER) database for clinical cancer research. A comprehensive bibliometric study is required to...

Descripción completa

Detalles Bibliográficos
Autores principales: Lin, Min-Qiang, Lian, Chen-Lu, Zhou, Ping, Lei, Jian, Wang, Jun, Hua, Li, Zhou, Juan, Wu, San-Gang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7708086/
https://www.ncbi.nlm.nih.gov/pubmed/33200992
http://dx.doi.org/10.2196/21931
_version_ 1783617491762675712
author Lin, Min-Qiang
Lian, Chen-Lu
Zhou, Ping
Lei, Jian
Wang, Jun
Hua, Li
Zhou, Juan
Wu, San-Gang
author_facet Lin, Min-Qiang
Lian, Chen-Lu
Zhou, Ping
Lei, Jian
Wang, Jun
Hua, Li
Zhou, Juan
Wu, San-Gang
author_sort Lin, Min-Qiang
collection PubMed
description BACKGROUND: The application of China’s big data sector in cancer research is just the beginning. In recent decades, more and more Chinese scholars have used the Surveillance, Epidemiology, and End Results (SEER) database for clinical cancer research. A comprehensive bibliometric study is required to analyze the tendency of Chinese scholars to utilize the SEER database for clinical cancer research and provide a reference for the future of big data analytics. OBJECTIVE: Our study aimed to assess the trend of publications on clinical cancer research in mainland China from the SEER database. METHODS: We performed a PubMed search to identify papers published with data from the SEER database in mainland China until August 31, 2020. RESULTS: A total of 1566 papers utilizing the SEER database that were authored by investigators in mainland China were identified. Over the past years, significant growth in studies based on the SEER database was observed (P<.001). The top 5 research topics were breast cancer (213/1566, 13.6%), followed by colorectal cancer (185/1566, 11.8%), lung cancer (179/1566, 11.4%), gastrointestinal cancer (excluding colorectal cancer; 149/1566, 9.5%), and genital system cancer (93/1566, 5.9%). Approximately 75.2% (1178/1566) of papers were published from the eastern coastal region of China, and Fudan University Shanghai Cancer Center (Shanghai, China) was the most active organization. Overall, 267 journals were analyzed in this study, of which Oncotarget was the most contributing journal (136/267, 50.9%). Of the 1566 papers studied, 585 (37.4%) were published in the second quartile, 489 (31.2%) in the third quartile, 312 (19.9%) in the first quartile, and 80 (5.1%) in the fourth quartile, with 100 (6.4%) having an unknown Journal Citation Reports ranking. CONCLUSIONS: Clinical cancer research based on the SEER database in mainland China underwent constant and rapid growth during recent years. High-quality and comprehensive cancer databases based on Chinese demographic data are urgently needed.
format Online
Article
Text
id pubmed-7708086
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher JMIR Publications
record_format MEDLINE/PubMed
spelling pubmed-77080862020-12-04 Analysis of the Trends in Publications on Clinical Cancer Research in Mainland China from the Surveillance, Epidemiology, and End Results (SEER) Database: Bibliometric Study Lin, Min-Qiang Lian, Chen-Lu Zhou, Ping Lei, Jian Wang, Jun Hua, Li Zhou, Juan Wu, San-Gang JMIR Med Inform Original Paper BACKGROUND: The application of China’s big data sector in cancer research is just the beginning. In recent decades, more and more Chinese scholars have used the Surveillance, Epidemiology, and End Results (SEER) database for clinical cancer research. A comprehensive bibliometric study is required to analyze the tendency of Chinese scholars to utilize the SEER database for clinical cancer research and provide a reference for the future of big data analytics. OBJECTIVE: Our study aimed to assess the trend of publications on clinical cancer research in mainland China from the SEER database. METHODS: We performed a PubMed search to identify papers published with data from the SEER database in mainland China until August 31, 2020. RESULTS: A total of 1566 papers utilizing the SEER database that were authored by investigators in mainland China were identified. Over the past years, significant growth in studies based on the SEER database was observed (P<.001). The top 5 research topics were breast cancer (213/1566, 13.6%), followed by colorectal cancer (185/1566, 11.8%), lung cancer (179/1566, 11.4%), gastrointestinal cancer (excluding colorectal cancer; 149/1566, 9.5%), and genital system cancer (93/1566, 5.9%). Approximately 75.2% (1178/1566) of papers were published from the eastern coastal region of China, and Fudan University Shanghai Cancer Center (Shanghai, China) was the most active organization. Overall, 267 journals were analyzed in this study, of which Oncotarget was the most contributing journal (136/267, 50.9%). Of the 1566 papers studied, 585 (37.4%) were published in the second quartile, 489 (31.2%) in the third quartile, 312 (19.9%) in the first quartile, and 80 (5.1%) in the fourth quartile, with 100 (6.4%) having an unknown Journal Citation Reports ranking. CONCLUSIONS: Clinical cancer research based on the SEER database in mainland China underwent constant and rapid growth during recent years. High-quality and comprehensive cancer databases based on Chinese demographic data are urgently needed. JMIR Publications 2020-11-17 /pmc/articles/PMC7708086/ /pubmed/33200992 http://dx.doi.org/10.2196/21931 Text en ©Min-Qiang Lin, Chen-Lu Lian, Ping Zhou, Jian Lei, Jun Wang, Li Hua, Juan Zhou, San-Gang Wu. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 17.11.2020. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Medical Informatics, is properly cited. The complete bibliographic information, a link to the original publication on http://medinform.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Lin, Min-Qiang
Lian, Chen-Lu
Zhou, Ping
Lei, Jian
Wang, Jun
Hua, Li
Zhou, Juan
Wu, San-Gang
Analysis of the Trends in Publications on Clinical Cancer Research in Mainland China from the Surveillance, Epidemiology, and End Results (SEER) Database: Bibliometric Study
title Analysis of the Trends in Publications on Clinical Cancer Research in Mainland China from the Surveillance, Epidemiology, and End Results (SEER) Database: Bibliometric Study
title_full Analysis of the Trends in Publications on Clinical Cancer Research in Mainland China from the Surveillance, Epidemiology, and End Results (SEER) Database: Bibliometric Study
title_fullStr Analysis of the Trends in Publications on Clinical Cancer Research in Mainland China from the Surveillance, Epidemiology, and End Results (SEER) Database: Bibliometric Study
title_full_unstemmed Analysis of the Trends in Publications on Clinical Cancer Research in Mainland China from the Surveillance, Epidemiology, and End Results (SEER) Database: Bibliometric Study
title_short Analysis of the Trends in Publications on Clinical Cancer Research in Mainland China from the Surveillance, Epidemiology, and End Results (SEER) Database: Bibliometric Study
title_sort analysis of the trends in publications on clinical cancer research in mainland china from the surveillance, epidemiology, and end results (seer) database: bibliometric study
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7708086/
https://www.ncbi.nlm.nih.gov/pubmed/33200992
http://dx.doi.org/10.2196/21931
work_keys_str_mv AT linminqiang analysisofthetrendsinpublicationsonclinicalcancerresearchinmainlandchinafromthesurveillanceepidemiologyandendresultsseerdatabasebibliometricstudy
AT lianchenlu analysisofthetrendsinpublicationsonclinicalcancerresearchinmainlandchinafromthesurveillanceepidemiologyandendresultsseerdatabasebibliometricstudy
AT zhouping analysisofthetrendsinpublicationsonclinicalcancerresearchinmainlandchinafromthesurveillanceepidemiologyandendresultsseerdatabasebibliometricstudy
AT leijian analysisofthetrendsinpublicationsonclinicalcancerresearchinmainlandchinafromthesurveillanceepidemiologyandendresultsseerdatabasebibliometricstudy
AT wangjun analysisofthetrendsinpublicationsonclinicalcancerresearchinmainlandchinafromthesurveillanceepidemiologyandendresultsseerdatabasebibliometricstudy
AT huali analysisofthetrendsinpublicationsonclinicalcancerresearchinmainlandchinafromthesurveillanceepidemiologyandendresultsseerdatabasebibliometricstudy
AT zhoujuan analysisofthetrendsinpublicationsonclinicalcancerresearchinmainlandchinafromthesurveillanceepidemiologyandendresultsseerdatabasebibliometricstudy
AT wusangang analysisofthetrendsinpublicationsonclinicalcancerresearchinmainlandchinafromthesurveillanceepidemiologyandendresultsseerdatabasebibliometricstudy