开发和验证MEDLINE (PubMed) 的地理搜索过器,以识别有关德国的研究
Alexander Pachanov1,2, Catharina Münte1,2, Julian Hirt3,4,5
1Faculty of Health Sciences Brandenburg, Brandenburg Medical School (Theodor Fontane), Institute for Health Services and Health System Research, Rüdersdorf, Germany.
Research synthesis methods
|October 15, 2024
概括
研究人员为PubMed开发了一种经过验证的地理搜索过器,以识别有关德国的研究. 该工具显著提高了搜索精度,并减少了无关文章的数量,提高了证据综合效率.
科学领域:
- 信息科学 信息科学 信息科学
- 医疗信息学 医疗信息学
- 图书统计学 图书统计学
背景情况:
- 现有的地理搜索过器是有限的,缺乏验证,特别是对于德国等特定的国家.
- 需要一种可靠的方法来在 MEDLINE (PubMed) 等大型数据库中识别以德国为重点的研究.
研究的目的:
- 开发和验证MEDLINE (PubMed) 的高度敏感的地理搜索过器,以准确识别与德国有关的研究.
- 提高证据综合和系统审查的效率,专注于德国研究.
主要方法:
- 使用相对回忆方法创建了德国研究的黄金标准数据集,分为开发和测试集.
- 通过术语频率分析和精心策划的德国地理位置列表来确定候选搜索术语.
- 过器被代开发并与数据集进行评估,通过案例研究和使用现有系统审查的模拟研究进行验证.
主要成果:
- 将过器应用于系统审查搜索策略,将中位精度从0.16%提高到2.64%,并将需要阅读的中位数 (NNR) 从625降低到38.
- 过器表现出高灵敏度,在17个案例研究中,在13个案例研究中达到100%.
- 一项模拟研究显示,总体灵敏度为97.19%,NNR为42.
结论:
- 开发的地理搜索过器可靠地识别了MEDLINE (PubMed) 中关于德国的研究.
- 过器显著提高了选效率,使其成为一个有价值的工具,用于综合证据和研究,重点是德国.
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