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New Search Strategies Optimize MEDLINE Retrieval of Sound Studies on Treatment or Prevention of Health Disorders

机译：新的搜索策略优化了MEDLINE对治疗或预防健康疾病的声音研究的检索

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A review of: Haynes, R. Brian, K. Ann McKibbon, Nancy L. Wilczynski, Stephen D. Walter, and Stephen R. Were. “Optimal search strategies for retrieving scientifically strong studies of treatment from Medline: analytical survey.” BMJ 330.7501 (21 May 2005): 1179. Objective – To develop and test search strategies for retrieving clinically sound studies from the MEDLINE database on the prevention or treatment of health disorders. Design – Analytical survey. Subjects – The data sources were articles about treatment studies selected from 161 journal titles indexed for MEDLINE in the year 2000. Setting – MEDLINE database searches performed at the Health Information Research Unit, McMaster University, in Ontario, Canada. Methods – Researchers hand searched each issue of 161 journal titles indexed in MEDLINE in the year 2000 to find treatment studies. Journal content included internal medicine, family practice, nursing, and mental health titles. Selected studies met the following criteria: randomisation of subjects, outcome assessment for at least 80% of who entered the study, and an analysis consistent with study design. Of 49,028 potential articles, 6,568 were identified as being treatment or prevention related, and 1,587 met the evaluation criteria. The study authors then created search strategies designed to retrieve articles in MEDLINE that met the same criteria, while excluding articles that did not. They compiled a list of 4,862 unique terms related to study criteria, and tested them using the Ovid Technologies search platform. Overall, 18,404 multiple-term search strategies were tested. Single terms with specificity greater than 75% and sensitivity greater than 25% were combined into strategies with two or more terms. These multiple term strategies were tested if they yielded sensitivity or accuracy greater than 75% and specificity of at least 50%. Main Results – Of the 4,862 unique terms, 3,807 retrieved citations from MEDLINE that researchers used to assess sensitivity, specificity, precision, and accuracy. The single term that yielded the best accuracy while keeping sensitivity greater than 50% was ‘randomized controlled trial.pt.’.The single term that yielded the best precision while keeping sensitivity greater than 50% was also ‘randomized controlled trial.pt.’.This term also gave the greatest balance of sensitivity and specificity. Combination strategies varied. Some two-term combinations outperformed single term strategies and three-term combinations. Tables in the article provide the top three search strategies yielding the highest sensitivity, specificity, accuracy, and balance between sensitivity and specificity. Search strategies with sensitivity greater than 50% and specificity greater than 95% were evaluated further by adding search terms using logistic regression techniques. The best strategies for maximizing sensitivity had sensitivity greater than 99% and specificity higher than 70%. The best strategies for maximizing specificity had sensitivity greater than 93% and specificity more than 97%. Conclusion – In addition to providing the best strategies developed in this study, authors compared their results with the results from 19 other published strategies. The published strategies had a sensitivity range of 1.3% to 98.8% on the basis of the hand searched articles. These were all lower than this study’s best sensitivity of 99.3%. Two strategies published by Dumbrigue, with specificities of 98.1% and 97.6%, outperformed this study’s most specific strategy of 97.4%.
机译：评论如下：Haynes，R。Brian，K。Ann McKibbon，Nancy L. Wilczynski，Stephen D. Walter和Stephen R. Were。 “从Medline检索对科学有力的治疗研究的最佳搜索策略：分析调查。” BMJ 330.7501（2005年5月21日）：1179。目的–开发和测试检索策略，以从MEDLINE数据库中检索有关健康疾病预防或治疗的临床可靠研究。设计–分析调查。主题–数据来源是从2000年从MEDLINE编制索引的161种期刊中选择的有关治疗研究的文章。设置– MEDLINE数据库搜索在加拿大安大略省麦克马斯特大学的健康信息研究室进行。方法–研究人员手工搜索了2000年MEDLINE索引的161种期刊标题，以寻找治疗方法。期刊内容包括内科，家庭实践，护理和心理健康职称。选定的研究符合以下标准：受试者随机分组，至少80％进入研究的受试者的结局评估以及与研究设计一致的分析。在49,028篇潜在文章中，有6,568篇被确定为与治疗或预防相关，并且1,587篇符合评估标准。然后，研究作者创建了搜索策略，旨在检索MEDLINE中符合相同条件的文章，同时排除不符合条件的文章。他们编制了与研究标准相关的4,862个独特术语的列表，并使用Ovid Technologies搜索平台对其进行了测试。总体而言，测试了18404个长期搜索策略。具有大于75％的特异性和大于25％的敏感性的单个术语组合为具有两个或多个术语的策略。如果这些长期策略产生的敏感性或准确性大于75％，特异性至少为50％，则进行测试。主要结果–在4,862个独特术语中，有3,807个是从MEDLINE检索到的引文，研究人员用来评估敏感性，特异性，精密度和准确性。在保持灵敏度大于50％的同时产生最佳准确性的单个术语是“随机对照试验.pt。”在保持灵敏度大于50％的情况下产生最佳精度的单个术语也是“随机对照试验.pt”。该术语也使敏感性和特异性达到了最大的平衡。组合策略各不相同。一些两学期组合的表现优于单学期策略和三学期的组合。本文中的表提供了产生最高灵敏度，特异性，准确性以及灵敏度与特异性之间平衡的前三种搜索策略。通过使用逻辑回归技术添加搜索词，进一步评估了灵敏度大于50％，特异性大于95％的搜索策略。最大化灵敏度的最佳策略是灵敏度大于99％，特异性大于70％。最大化特异性的最佳策略是敏感性大于93％，特异性大于97％。结论–除了提供本研究中开发的最佳策略外，作者还将他们的结果与其他19种已发表策略的结果进行了比较。根据手工搜索的文章，已发布的策略的敏感度范围为1.3％至98.8％。这些均低于本研究的99.3％的最佳敏感性。 Dumbrigue发表的两种策略，其特异性分别为98.1％和97.6％，胜过了本研究中最具体的策略，即97.4％。

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