SUMSearch and TRIP database are meta search engines for searching clinical evidence. This article introduces major contents and search methods of the SUMSearch and TRIP database, so as to provide quick search resources and technical help for evidence-based practice.
Citation：
SI Jinhua, ZHAI Jingbo. Evidence-based search engines: SUMSearch and TRIP database. Chinese Journal of Evidence-Based Medicine, 2023, 23(8): 988-992. doi: 10.7507/1672-2531.202303046
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Copyright © the editorial department of Chinese Journal of Evidence-Based Medicine of West China Medical Publisher. All rights reserved
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- 1. 李幼平, 李静, 孙鑫, 等. 循证医学在中国的起源与发展: 献给中国循证医学20周年. 中国循证医学杂志, 2016, 16(1): 2-6.
- 2. 朱妍昕, 徐维. 国外知名循证医学数据库比较. 医学信息学杂志, 2017, 38(4): 82-85.
- 3. Badgett RG, Dylla DP, Megison SD, et al. An experimental search strategy retrieves more precise results than PubMed and Google for questions about medical interventions. PeerJ, 2015, 3: e913.
- 4. Crom V. Electronic resources reviews. J Med Libr Assoc, 2007, 95(4): 471-473.
- 5. Haase A, Follmann M, Skipka G, et al. Developing search strategies for clinical practice guidelines in SUMSearch and Google Scholar and assessing their retrieval performance. BMC Med Res Methodol, 2007, 7: 28.
- 6. Meats E, Brassey J, Heneghan C, et al. Using the turning research into practice (TRIP) database: how do clinicians really search. J Med Libr Assoc, 2007, 95(2): 156-163.
- 7. Stevens GA, Fitterling L, Kelly FV. Trip database: turning research into practice for evidence-based care. Med Ref Serv Q, 2017, 36(4): 391-398.
- 8. 张雪芹, 邓宏勇. 循证医学数据库: 现状与趋势. 中国循证医学杂志, 2021, 21(6): 621-627.
- 9. 籍文雪. 国外三大循证医学信息网站功能与内容比较分析. 中国中医药图书情报杂志, 2018, 42(4): 15-17.
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