Department of Health Sciences, University of York, York, UK.
CRD, University of York, York, UK.
Health Info Libr J. 2018 Jun;35(2):121-129. doi: 10.1111/hir.12213. Epub 2018 Mar 31.
Search filter development for adverse effects has tended to focus on retrieving studies of drug interventions. However, a different approach is required for surgical interventions.
To develop and validate search filters for medline and Embase for the adverse effects of surgical interventions.
Systematic reviews of surgical interventions where the primary focus was to evaluate adverse effect(s) were sought. The included studies within these reviews were divided randomly into a development set, evaluation set and validation set. Using word frequency analysis we constructed a sensitivity maximising search strategy and this was tested in the evaluation and validation set.
Three hundred and fifty eight papers were included from 19 surgical intervention reviews. Three hundred and fifty two papers were available on medline and 348 were available on Embase. Generic adverse effects search strategies in medline and Embase could achieve approximately 90% relative recall. Recall could be further improved with the addition of specific adverse effects terms to the search strategies.
We have derived and validated a novel search filter that has reasonable performance for identifying adverse effects of surgical interventions in medline and Embase. However, we appreciate the limitations of our methods, and recommend further research on larger sample sizes and prospective systematic reviews.
针对不良反应的检索过滤的发展往往集中于检索药物干预的研究。然而，对于手术干预，需要采用不同的方法。
开发并验证 Medline 和 Embase 用于手术干预不良反应的检索过滤。
系统性检索了主要关注评估不良反应的手术干预研究。这些综述中包含的研究被随机分为开发集、评估集和验证集。我们使用词频分析构建了一个灵敏度最大化的检索策略，并在评估集和验证集中进行了测试。
从 19 项手术干预综述中纳入了 358 篇论文。352 篇可在 Medline 上获取，348 篇可在 Embase 上获取。通用不良反应检索策略在 Medline 和 Embase 中可实现约 90%的相对召回率。通过向检索策略中添加特定的不良反应术语，可以进一步提高召回率。
我们已经得出并验证了一种新的检索过滤，它在 Medline 和 Embase 中用于识别手术干预不良反应具有合理的性能。然而，我们认识到我们方法的局限性，并建议在更大的样本量和前瞻性系统综述方面进行进一步研究。
