Wilczynski Nancy L, Morgan Douglas, Haynes R Brian
Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Ontario, Canada.
BMC Med Inform Decis Mak. 2005 Jun 21;5:20. doi: 10.1186/1472-6947-5-20.
With the information explosion, the retrieval of the best clinical evidence from large, general purpose, bibliographic databases such as MEDLINE can be difficult. Both researchers conducting systematic reviews and clinicians faced with a patient care question are confronted with the daunting task of searching for the best medical literature in electronic databases. Many have advocated the use of search filters or "hedges" to assist with the searching process. The purpose of this report is to describe the design and methods of a study that set out to develop optimal search strategies for retrieving sound clinical studies of health disorders in large electronics databases.
To describe the design and methods of a study that set out to develop optimal search strategies for retrieving sound clinical studies of health disorders in large electronic databases.
An analytic survey comparing hand searches of 170 journals in the year 2000 with retrievals from MEDLINE, EMBASE, CINAHL, and PsycINFO for candidate search terms and combinations. The sensitivity, specificity, precision, and accuracy of unique search terms and combinations of search terms were calculated.
A study design modeled after a diagnostic testing procedure with a gold standard (the hand search of the literature) and a test (the search terms) is an effective way of developing, testing, and validating search strategies for use in large electronic databases.
随着信息爆炸,从诸如MEDLINE等大型通用书目数据库中检索最佳临床证据可能会很困难。进行系统评价的研究人员和面临患者护理问题的临床医生都面临着在电子数据库中搜索最佳医学文献这项艰巨任务。许多人主张使用搜索过滤器或“检索词限定”来辅助搜索过程。本报告的目的是描述一项研究的设计和方法,该研究旨在开发最佳搜索策略,以在大型电子数据库中检索有关健康疾病的可靠临床研究。
描述一项研究的设计和方法,该研究旨在开发最佳搜索策略,以在大型电子数据库中检索有关健康疾病的可靠临床研究。
一项分析性调查,将2000年对170种期刊的手工检索结果与从MEDLINE、EMBASE、CINAHL和PsycINFO中检索候选搜索词及其组合的结果进行比较。计算了独特搜索词和搜索词组合的敏感性、特异性、精确性和准确性。
以具有金标准(文献手工检索)和测试(搜索词)的诊断测试程序为模型的研究设计,是开发、测试和验证用于大型电子数据库的搜索策略的有效方法。