Suppr超能文献

《护理及相关健康文献累积索引》中用于识别方法学上合理的因果关系和预后研究的检索策略。

Cumulative Index to Nursing and Allied Health Literature search strategies for identifying methodologically sound causation and prognosis studies.

作者信息

Walker-Dilks Cindy, Wilczynski Nancy L, Haynes R Brian

机构信息

Health Information Research Unit, Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Ontario, Canada.

出版信息

Appl Nurs Res. 2008 May;21(2):98-103. doi: 10.1016/j.apnr.2006.04.004.

Abstract

We developed search strategies for detecting sound articles on causation and prognosis in Cumulative Index to Nursing and Allied Health Literature (CINAHL) in the year 2000. An analytic survey was conducted, comparing hand searches of 75 journals with retrievals from CINAHL for 5,020 search terms and 11,784 combinations for causation and 9,946 combinations for prognosis. For detecting sound causation studies, a three-term strategy maximized sensitivity at 97.0% with a specificity of 52.3%. For detecting sound prognosis studies, a three-term strategy maximized sensitivity at 92.2% with a specificity of 50.0%. These search filters will enhance the searching efforts of clinicians and researchers.

摘要

2000年,我们制定了检索策略,以在《护理学与健康相关学科累积索引》(CINAHL)中查找关于因果关系和预后的可靠文章。我们进行了一项分析性调查,将对75种期刊的人工检索结果与CINAHL中5020个检索词、11784种因果关系组合以及9946种预后组合的检索结果进行比较。对于检测可靠的因果关系研究,一个三项策略的灵敏度最高可达97.0%,特异度为52.3%。对于检测可靠的预后研究,一个三项策略的灵敏度最高可达92.2%,特异度为50.0%。这些检索过滤器将提高临床医生和研究人员的检索效率。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验