开发和验证高灵敏度和高特异性的公共搜索过器,用于系统和非系统的审查
Victor Nascimento Fontanive1, Letícia Possebon Müller1, Federico Riva2
1Department of Preventive and Social Dentistry, Federal University of Rio Grande do Sul, Rua Ramiro Barcelos 2492, room 301, Porto Alegre, RS, Brazil.
BMC medical research methodology
|September 30, 2025
概括
新的PubMed搜索过器准确地识别牙科文献中的系统评论. 这些工具提高了临床医生,研究人员和决策者寻求基于证据的牙科信息的效率.
科学领域:
- 医疗信息学 医疗信息学
- 牙科研究 牙科研究
- 基于证据的牙科.
背景情况:
- 系统性审查对于基于证据的牙科至关重要.
- 在PubMed中有效地识别系统审查对于研究人员和临床医生来说至关重要.
- 现有的PubMed搜索策略可能缺乏针对特定审查类型的最佳准确性.
研究的目的:
- 开发和评估新的PubMed搜索过器的准确性,以识别牙科期刊中的系统和非系统评论.
- 将这些新过器的性能与现有的基准过器进行比较.
主要方法:
- 一项验证研究分析了2019年发表的15个牙科期刊的文章.
- 开发了两个过器:一个用于高灵敏度 (所有评论) 和一个用于高特异性 (系统评论).
- 手动全文审查作为方法验证的黄金标准;计算了准确性,敏感性和特异性.
主要成果:
- 在2246篇文章中,6.7%是系统性评论,5.9%是其他类型的评论.
- 在系统性审查中,高灵敏度过器达到98.0%的灵敏度和88.9%的特异性.
- 高特异性过器显示了96.7%的灵敏度和99.1%的特异性,系统性审查的准确性为97.9%,超过了PubMed的基准.
结论:
- 开发了两种新的,高度准确的PubMed搜索过器,用于牙科系统审查.
- 与现有方法相比,这些过器提供了更好的精度和回忆能力.
- 这些过器是临床医生,研究人员和决策者有效访问相关系统审查的宝贵工具.
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