Surveillance search techniques identified the need to update systematic reviews

Surveillance search techniques identified the need to update systematic reviews
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DOI:
10.1016/j.jclinepi.2007.10.003
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发表时间:
2008-08-01
影响因子:
7.2
通讯作者:
Moher, David
Moher, David
中科院分区:
医学2区
文献类型:
--
作者:
Sampson, Margaret;Shojania, Kaveh G.;Moher, David

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目的:本文报道文献监测方法,以确定有资格更新系统评价的新证据。研究设计和背景:在确定可能标志现有卫生保健干预措施系统评价的主要或无效新证据的研究的背景下,测试五种监测搜索方法。每种检索方法的召回率被评估为该方法确定的所有检索方法的相关研究的综合产出的比例。筛选负担是指需要审查的研究的数量,以确定需要更新的证据。结果:在77项系统性审查的队列中进行了搜索。没有一种方法能够始终保持对相关新证据的高召回率,因此对这些策略的组合进行了检查。基于PubMed的相关文章搜索和使用临床查询的主题搜索相结合的搜索算法是最有效的组合,检索了68例所有相关的新记录。每篇综述的筛选负担中值为71条新记录(四分位数范围:42-161)。结论:使用主题搜索和基于PubMed的相关文章功能的搜索相结合的方法,监测表明需要更新系统综述的新证据是可行的。(C)2008 Elsevier Inc.保留所有权利。
Objective: This article reports on literature surveillance methods to identify new evidence eligible for updating systematic reviews.Study Design and Setting: Five surveillance search approaches are tested in the context of identifying studies that would signal major or invalidating new evidence for existing systematic reviews of health care interventions. Recall for each search approach was assessed as proportion of a composite yield of relevant studies across all search approaches that were identified by that approach. Screening burden was the number of studies that would need to be reviewed to identify the evidence that would necessitate updating.Results: Searches were tested in a cohort of 77 systematic reviews. No one method yielded consistently high recall of relevant new evidence, so combinations of the strategies were examined. A search algorithm based on PubMed's related article search in combination with a subject searching using clinical queries was the most effective combination, retrieving all relevant new records in 68 cases. Screening burden was a median of 71 new records per review (inter-quartile range: 42-161).Conclusion: Surveillance for emerging evidence that signals the need to update systematic reviews is feasible using a combination of subject searching and searching based on the PubMed's related article function. (c) 2008 Elsevier Inc. All rights reserved.