Miake-Lye Isomi M, Mak Selene, Begashaw Meron M, Shekelle Paul G
Center for the Study of Healthcare Innovation, Implementation and Policy (CSHIIP), VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA.
Department of Health Policy and Management, UCLA Fielding School of Public Health, Los Angeles, CA, USA.
Syst Rev. 2025 Apr 22;14(1):92. doi: 10.1186/s13643-025-02836-w.
The rise of powerful search engines (e.g., Google) make the searching for gray literature more feasible within the time and resources of a typical systematic review. However, there are no hypothesis-testing studies to guide us on how to conduct such a search. It is our belief that the "best practices" for incorporating Google searches might come from the collection of experiential evidence that users have had, from which can be drawn some tentative conclusions. It is our intention with this communication to relay our experience with Google searches for five projects and the lessons we think we have learned. We invite our systematic review colleagues to contribute their own experiences and thus to build up the experiential evidence about when and how to use Google as a search engine to supplement traditional computerized database searches.
强大搜索引擎(如谷歌)的兴起,使得在典型系统评价的时间和资源范围内搜索灰色文献变得更加可行。然而,目前尚无假设检验研究来指导我们如何进行此类搜索。我们认为,纳入谷歌搜索的“最佳实践”可能来自用户已有的经验证据收集,从中可以得出一些初步结论。我们撰写本交流文章的目的是分享我们在五个项目中使用谷歌搜索的经验以及我们认为学到的经验教训。我们邀请系统评价领域的同行分享他们自己的经验,从而积累关于何时以及如何使用谷歌作为搜索引擎来补充传统计算机化数据库搜索的经验证据。