The landscape of cancer-related data utilization from major healthcare databases in China: a bibliometric analysis (Preprint)

Author:

Zhang YugeORCID,Wang XiaolanORCID,Zheng XubinORCID,Sun JiaxuanORCID,Che BeibeiORCID,Liu Larry ZORCID,Jiang WeiliORCID,Zhou YanbingORCID,Xu BiaoORCID

Abstract

BACKGROUND

China has accumulated large amount of cancer-related data from multiple sources. Studies have thoroughly reviewed Chinese healthcare systems and emphasized the importance to promote data utilization while there is no study illustrating the utilization status of cancer-related databases.

OBJECTIVE

To understand data utilization of major cancer-related databases in China and promote further researches in healthcare data systems.

METHODS

A bibliometric analysis was applied on peer-reviewed publications using 15 representative cancer-related databases classified as cancer registry, medical insurance database, hospital-based database, and publicly accessible database according to source of data collection in China. Peer-reviewed articles written in English or Chinese, indexed in PubMed, Web of Science, Chinese National Knowledge Infrastructure (CNKI) and Wanfang Data (in Chinese), and published since database inception to December 2021 were included. Data was analysed in November 2022. Bibliometric parameters were extracted to describe the numbers, quality, and research contents of published articles. The quality of the publications was described by total citation, journal impact factors (2020 edition) and Journal Citation Reports quartile (JCR, 2020 edition). Research contents were demonstrated by cancer sites and research topics. Between-group comparisons were made using Kruskal-Wallis H test or Fisher-Freeman-Halton exact test, as appropriate.

RESULTS

Of 1037 articles included, 637 was from cancer registries, 313 from hospital-based databases, 65 from medical insurance databases and 22 from public databases. An upward trend in annul number of publications was observed. Articles published in Chinese were nearly two-fold of those in English. Papers based on cancer registry, publicly accessible databases and the joint exploration of medical insurance databases were mainly published in journals of JCR Q2. The distribution of JCR quartiles and total citations were significantly different for the four data sources (P<0.0001). Lung, stomach, colorectal were most studied cancer sites while cancer incidence, mortality and prognosis were most focused research interests.

CONCLUSIONS

The upward trend in publication number was mainly contributed by articles from registries. The limited number of publications in English might weaken the impact of sharing research findings generated from Chinese data, in the international community. It highlights the importance of promoting data accessibility and utilization from various sources in China.

CLINICALTRIAL

None

Publisher

JMIR Publications Inc.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3