在SARS-CoV-2的测序研究中报告的与患者相关的元数据:范围审查和文献识别分析协议
Karen O'Connor1, Davy Weissenbacher2, Amir Elyaderani3
1Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
medRxiv : the preprint server for health sciences
|July 28, 2023
概括
这项研究揭示了SARS-CoV-2测序研究中的患者元数据有限,阻碍了基因组流行病学. 建议旨在提高数据质量和一致性,以改善传染病研究.
科学领域:
- 病毒学 病毒学
- 基因组流行病学 基因组流行病学
- 公共卫生 公共卫生
背景情况:
- 数以百万计的SARS-CoV-2序列在GISAID和GenBank.Bank等数据库中公开提供.
- 基因组流行病学将遗传数据与患者信息联系起来,以了解传播和疾病的影响.
- 然而,与患者相关的元数据 (人口统计,临床细节) 在这些存储库和已发表的研究中很少.
研究的目的:
- 评估SARS-CoV-2基因组测序研究中报告的患者元数据的范围和类型.
- 识别元数据报告中的差距,并提出改善数据质量和一致性的建议.
- 进行报告趋势和模式的文献计量分析.
主要方法:
- 来自NIH的LitCovid收藏的文章的自动分类.
- 使用Covidence的独立PubMed搜索验证和数据提取.
- 综合提取的数据以量化患者元数据的可用性,并进行文献计量分析.
主要成果:
- 在已发表的SARS-CoV-2测序文献中量化患者元数据的可用性.
- 识别报告的患者相关元数据中的空白和不一致.
- 图书统计分析揭示了跨研究类型和地区的元数据报告趋势.
结论:
- 提高患者元数据报告的质量和一致性至关重要.
- 增强的元数据将增加序列数据的研究实用性.
- 这项研究通过改进数据实践为更好的传染病研究提供了基础.
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