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Locating sex-specific evidence on clinical questions in MEDLINE: a search filter for use on OvidSP?

机译:在MEDLINE中找到有关临床问题的性别特异性证据:用于OvidSP的搜索过滤器?

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Background Many recently published clinical studies report sex-specific data. This information may help to improve clinical decision-making for both sexes, but it is not easily accessible in MEDLINE. The aim of this project was to develop and validate a search filter that would facilitate the retrieval of studies reporting high quality sex-specific data on clinical questions. Methods A filter was developed by screening titles, abstracts and Medical Subject Headings (MeSH) in a set of 80 high quality and relevant papers, 75 of which were identified through a review of clinical guidelines and five through other means. The filter, for use on OvidSP?, consists of nine command lines for searching free text words in the title, abstract and MeSH of a paper. It was able to identify 74/80 (92.5%) of the articles from which it was derived. The filter was evaluated in a set of 622 recently published original studies on Alzheimer's disease and on asthma. It was validated against a reference of 98 studies from this set, which provided high quality, clinically relevant, sex-specific evidence. Recall and precision were used as performance measures. Results The filter demonstrated 81/98 (83%) recall and 81/125 (65%) precision in retrieving relevant articles on Alzheimer's disease and on asthma. In comparison, only 30/98 (31%) recall would have been achieved if sex-specific MeSH terms only had been used. Conclusion This sex-specific search filter performs well in retrieving relevant papers, while its precision rate is good. It performs better than a search with sex-specific MeSH. The filter can be useful to anyone seeking sex-specific clinical evidence (e.g., guideline organizations, researchers, medical educators, clinicians).
机译:背景技术许多最近发表的临床研究报告了性别特异性数据。该信息可能有助于改善男女的临床决策,但是在MEDLINE中不容易获得。该项目的目的是开发和验证搜索过滤器,以促进检索报告有关临床问题的高质量性别特定数据的研究。方法通过筛选80篇高质量和相关论文中的标题,摘要和医学主题词(MeSH)来开发过滤器,其中75篇通过临床指南审查而确定,另5篇通过其他方式进行。用于OvidSP?的过滤器由九个命令行组成,用于搜索论文标题,摘要和MeSH中的自由文本单词。它能够识别出其来源的物品中的74/80(92.5%)。最近在622篇有关阿尔茨海默氏病和哮喘的原始研究中对过滤器进行了评估。对照来自该组的98项研究进行了验证,该研究提供了高质量的,临床相关的,针对性别的证据。召回率和精确度用作性能指标。结果该过滤器在检索有关阿尔茨海默氏病和哮喘的相关文章时显示出81/98(83%)的召回率和81/125(65%)的精度。相比之下,如果仅使用针对性别的MeSH术语,则只能实现30/98(31%)的回忆率。结论该按性别分类的搜索过滤器在检索相关论文方面表现良好,但其准确率却很高。它比针对特定性别的MeSH的搜索效果更好。筛选器对于寻求性别特定临床证据的任何人(例如,指南组织,研究人员,医学教育者,临床医生)都非常有用。

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