仔细写你的摘要 - - 摘要报告质量对半自动标题摘要选工具可查找性的影响
I Spiero1, A M Leeuwenberg1, K G M Moons1
1Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
Journal of clinical epidemiology
|September 26, 2025
概括
高质量的摘要提高了在证据合成中使用的半自动选工具的效率. 遵守报告准则可以提高系统审查期间相关研究的可查性.
科学领域:
- 医疗信息学 医疗信息学
- 证据综合 证据综合
- 科学沟通科学沟通
背景情况:
- 系统性审查对于基于证据的决策至关重要,但由于广泛的抽象选,它们是劳动密集的.
- 半自动选工具使用主动学习来优先考虑相关摘要,加速证据综合过程.
- 这些工具的性能取决于建模方法和摘要中的数据质量.
研究的目的:
- 评估抽象报告特征与其通过半自动选工具的可查找性之间的关联.
- 为了确定抽象报告的质量,结构和术语是否影响选工具的性能.
- 为优化抽象报道提供见解,以便更好地识别文献.
主要方法:
- 模拟使用ASReview半自动选工具进行.
- 利用了两个预后模型研究的系统审查的数据.
- 摘要报告质量 (TRIPOD评分),结构 (子标题) 和术语被评估为它们对可查找性的影响.
主要成果:
- 更高的抽象报告质量与选工具的可查性增加密切相关.
- 抽象子标题的使用与可查找性有较小的积极关联.
- 其他结构元素和术语使用并没有显著影响可寻性.
结论:
- 改进的抽象报告质量提高了半自动选工具在证据综合中的有效性.
- 遵守抽象报告准则对于透明报告和更好地识别相关研究至关重要.
- 优化抽象报告可以简化系统审查和证据综合流程.
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