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[基于网络的癌症数据库应用的系统评价]

[A systematic evaluation of application of the web-based cancer database].

作者信息

Huang Tingting, Liu Jialin, Li Yong, Zhang Rui

机构信息

Department of Medical Informatics, Clinical Medical College, Sichuan University, Chengdu 610041, China.

出版信息

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2013 Oct;30(5):946-51.

PMID:24459949
Abstract

In order to support the theory and practice of the web-based cancer database development in China, we applied a systematic evaluation to assess the development condition of the web-based cancer databases at home and abroad. We performed computer-based retrieval of the Ovid-MEDLINE, Springerlink, EBSCOhost, Wiley Online Library and CNKI databases, the papers of which were published between Jan. 1995 and Dec. 2011, and retrieved the references of these papers by hand. We selected qualified papers according to the pre-established inclusion and exclusion criteria, and carried out information extraction and analysis of the papers. Eventually, searching the online database, we obtained 1244 papers, and checking the reference lists, we found other 19 articles. Thirty-one articles met the inclusion and exclusion criteria and we extracted the proofs and assessed them. Analyzing these evidences showed that the U.S.A. counted for 26% in the first place. Thirty-nine percent of these web-based cancer databases are comprehensive cancer databases. As for single cancer databases, breast cancer and prostatic cancer are on the top, both counting for 10% respectively. Thirty-two percent of the cancer database are associated with cancer gene information. For the technical applications, MySQL and PHP applied most widely, nearly 23% each.

摘要

为支持中国基于网络的癌症数据库开发的理论与实践,我们进行了系统评估以评定国内外基于网络的癌症数据库的发展状况。我们利用计算机检索了Ovid-MEDLINE、Springerlink、EBSCOhost、Wiley Online Library和CNKI数据库中1995年1月至2011年12月发表的论文,并手工检索了这些论文的参考文献。我们根据预先设定的纳入和排除标准筛选合格论文,并对论文进行信息提取和分析。最终,通过在线数据库检索,我们获得1244篇论文,通过查阅参考文献列表,我们又找到另外19篇文章。31篇文章符合纳入和排除标准,我们提取并评估了相关证据。对这些证据的分析表明,美国以26%位居首位。这些基于网络的癌症数据库中,39%为综合性癌症数据库。至于单一癌症数据库,乳腺癌和前列腺癌位居前列,各占10%。32%的癌症数据库与癌症基因信息相关。在技术应用方面,MySQL和PHP应用最为广泛,各占近23%。

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