长期COVID研究,2020-2024年:基于PubMed的图书识别分析
Cristina Honorato-Cia1,2, Elena Cacho-Asenjo1,2, Antonio Martinez-Simon1,2
1Department of Anaesthesia and Critical Care, Clínica Universidad de Navarra, 31008 Pamplona, Spain.
Healthcare (Basel, Switzerland)
|February 13, 2025
概括
长期COVID是一种SARS-CoV-2感染后的慢性疾病,其出版率较低但越来越高. 研究重点是治疗和机制,案例报告是独特的.
科学领域:
- 传染性疾病 传染性疾病
- 公共卫生 公共卫生
- 图书统计学 图书统计学
背景情况:
- 长期COVID是SARS-CoV-2感染后的慢性疾病,带来了重大的健康和社会经济挑战.
- 随着COVID-19研究的快速增长,需要进行文献识别分析,以了解长期COVID等特定的子领域.
- 长期COVID的有效管理需要清楚地了解研究环境.
研究的目的:
- 在更广泛的COVID-19文献中对长期COVID出版物进行大规模的文献分析.
- 更新长期COVID研究的个人资料,直到2024年12月.
- 在长期COVID中确定关键的研究主题,出版趋势和富有成果的期刊.
主要方法:
- 使用PubMed数据库进行数据提取.
- 对超过39万份COVID-19出版物进行了全面的图书识别分析.
- 特定与长期COVID相关的出版物被确定并分析.
主要成果:
- 长期COVID出版物占所有COVID-19研究的一小部分 (2.3%),共计8,928篇文章.
- "治疗"和"机制"是长期COVID文献中最常见的研究主题.
- 与一般的COVID-19研究相比,长期COVID研究显示出一个独特的个人资料,其中"病例报告"和"机制"研究的比例较高. 还确定了大量的期刊.
结论:
- 长期COVID研究,虽然是COVID-19研究的一小部分,但具有独特的特点,需要专门的信息管理.
- 鉴定的研究趋势和多产期刊可以指导未来的研究方向,并提高长期COVID研究的可见性.
- 这种图书统计分析有助于导航和管理不断扩大的关于长期COVID的科学知识.
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