• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

新型冠状病毒病 2019(COVID-19):医学文献证据图谱。

Coronavirus disease 2019 (COVID-19): an evidence map of medical literature.

机构信息

Duke-NUS Medical School, National University of Singapore, Singapore, Singapore.

Health Services Research Centre, Singapore Health Services, Singapore, Singapore.

出版信息

BMC Med Res Methodol. 2020 Jul 2;20(1):177. doi: 10.1186/s12874-020-01059-y.

DOI:10.1186/s12874-020-01059-y
PMID:32615936
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7330264/
Abstract

BACKGROUND

Since the beginning of the COVID-19 outbreak in December 2019, a substantial body of COVID-19 medical literature has been generated. As of June 2020, gaps and longitudinal trends in the COVID-19 medical literature remain unidentified, despite potential benefits for research prioritisation and policy setting in both the COVID-19 pandemic and future large-scale public health crises.

METHODS

In this paper, we searched PubMed and Embase for medical literature on COVID-19 between 1 January and 24 March 2020. We characterised the growth of the early COVID-19 medical literature using evidence maps and bibliometric analyses to elicit cross-sectional and longitudinal trends and systematically identify gaps.

RESULTS

The early COVID-19 medical literature originated primarily from Asia and focused mainly on clinical features and diagnosis of the disease. Many areas of potential research remain underexplored, such as mental health, the use of novel technologies and artificial intelligence, pathophysiology of COVID-19 within different body systems, and indirect effects of COVID-19 on the care of non-COVID-19 patients. Few articles involved research collaboration at the international level (24.7%). The median submission-to-publication duration was 8 days (interquartile range: 4-16).

CONCLUSIONS

Although in its early phase, COVID-19 research has generated a large volume of publications. However, there are still knowledge gaps yet to be filled and areas for improvement for the global research community. Our analysis of early COVID-19 research may be valuable in informing research prioritisation and policy planning both in the current COVID-19 pandemic and similar global health crises.

摘要

背景

自 2019 年 12 月 COVID-19 疫情爆发以来,已经产生了大量 COVID-19 医学文献。截至 2020 年 6 月,尽管 COVID-19 大流行和未来大规模公共卫生危机中的研究重点和政策制定都可能受益,但 COVID-19 医学文献中的空白和纵向趋势仍未得到确定。

方法

在本文中,我们在 2020 年 1 月 1 日至 3 月 24 日期间在 PubMed 和 Embase 上搜索了 COVID-19 医学文献。我们使用证据图谱和文献计量学分析来描述早期 COVID-19 医学文献的增长,以引出横断面和纵向趋势,并系统地确定空白。

结果

早期 COVID-19 医学文献主要来自亚洲,主要集中在疾病的临床特征和诊断上。许多潜在的研究领域仍未得到充分探索,例如心理健康、新技术和人工智能的使用、COVID-19 在不同身体系统中的病理生理学以及 COVID-19 对非 COVID-19 患者护理的间接影响。很少有文章涉及国际层面的研究合作(24.7%)。提交到出版的中位时间为 8 天(四分位距:4-16)。

结论

尽管处于早期阶段,但 COVID-19 研究已经产生了大量出版物。然而,仍有知识空白需要填补,全球研究界也有改进的空间。我们对早期 COVID-19 研究的分析可能有助于为当前 COVID-19 大流行和类似的全球卫生危机中的研究重点和政策规划提供信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ed0/7331229/921ba0a6b532/12874_2020_1059_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ed0/7331229/4825f46b2ce8/12874_2020_1059_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ed0/7331229/f5fa45212050/12874_2020_1059_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ed0/7331229/6ddf0f4703b1/12874_2020_1059_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ed0/7331229/bf9f7f5048ce/12874_2020_1059_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ed0/7331229/fde5adb31edd/12874_2020_1059_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ed0/7331229/fa1bd576daef/12874_2020_1059_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ed0/7331229/921ba0a6b532/12874_2020_1059_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ed0/7331229/4825f46b2ce8/12874_2020_1059_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ed0/7331229/f5fa45212050/12874_2020_1059_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ed0/7331229/6ddf0f4703b1/12874_2020_1059_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ed0/7331229/bf9f7f5048ce/12874_2020_1059_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ed0/7331229/fde5adb31edd/12874_2020_1059_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ed0/7331229/fa1bd576daef/12874_2020_1059_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ed0/7331229/921ba0a6b532/12874_2020_1059_Fig7_HTML.jpg

相似文献

1
Coronavirus disease 2019 (COVID-19): an evidence map of medical literature.新型冠状病毒病 2019(COVID-19):医学文献证据图谱。
BMC Med Res Methodol. 2020 Jul 2;20(1):177. doi: 10.1186/s12874-020-01059-y.
2
Mapping the situation of research on coronavirus disease-19 (COVID-19): a preliminary bibliometric analysis during the early stage of the outbreak.绘制新型冠状病毒病(COVID-19)研究态势图:疫情爆发早期的初步文献计量分析。
BMC Infect Dis. 2020 Aug 1;20(1):561. doi: 10.1186/s12879-020-05293-z.
3
The COVID-19 research landscape: Measuring topics and collaborations using scientific literature.2019年冠状病毒病的研究概况:利用科学文献衡量研究主题与合作情况
Medicine (Baltimore). 2020 Oct 23;99(43):e22849. doi: 10.1097/MD.0000000000022849.
4
Bibliometric evaluation of Latin American contributions on COVID-19.拉丁美洲对新冠疫情贡献的文献计量学评估。
Biomedica. 2020 Oct 30;40(Supl. 2):104-115. doi: 10.7705/biomedica.5571.
5
Coronavirus disease 2019: a bibliometric analysis and review.新型冠状病毒病 2019:文献计量分析与综述。
Eur Rev Med Pharmacol Sci. 2020 Mar;24(6):3411-3421. doi: 10.26355/eurrev_202003_20712.
6
[An analysis of global research on SARS-CoV-2].[关于严重急性呼吸综合征冠状病毒2(SARS-CoV-2)的全球研究分析]
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2020 Apr 25;37(2):236-245. doi: 10.7507/1001-5515.202002034.
7
Indian Publications on SARS-CoV-2: A bibliometric study of WHO COVID-19 database.印度关于严重急性呼吸综合征冠状病毒2(SARS-CoV-2)的出版物:对世界卫生组织COVID-19数据库的文献计量学研究
Diabetes Metab Syndr. 2020 Sep-Oct;14(5):1171-1178. doi: 10.1016/j.dsx.2020.07.007. Epub 2020 Jul 10.
8
Twenty-Year Span of Global Coronavirus Research Trends: A Bibliometric Analysis.全球冠状病毒研究趋势的二十年跨度:文献计量分析。
Int J Environ Res Public Health. 2020 Apr 28;17(9):3082. doi: 10.3390/ijerph17093082.
9
Has Covid-19 Gone Viral? An Overview of Research by Subject Area.Covid-19 是否已经失控?各研究领域综述。
Health Educ Behav. 2020 Dec;47(6):861-869. doi: 10.1177/1090198120958368. Epub 2020 Sep 4.
10
Role of biological Data Mining and Machine Learning Techniques in Detecting and Diagnosing the Novel Coronavirus (COVID-19): A Systematic Review.生物数据挖掘和机器学习技术在检测和诊断新型冠状病毒 (COVID-19) 中的作用:系统评价。
J Med Syst. 2020 May 25;44(7):122. doi: 10.1007/s10916-020-01582-x.

引用本文的文献

1
Research prioritisation in preparedness for and response to outbreaks of high-consequence pathogens: a scoping review.针对高后果病原体爆发的防范与应对中的研究优先级设定:一项范围综述
BMC Med. 2025 Mar 10;23(1):147. doi: 10.1186/s12916-025-03973-8.
2
Examining self-described policy-relevant evidence base for policymaking: an evidence map of COVID-19 literature.审视自认为与政策制定相关的决策证据基础:一份关于新冠疫情文献的证据图谱
BMJ Public Health. 2024 Aug 28;2(2):e000694. doi: 10.1136/bmjph-2023-000694. eCollection 2024 Dec.
3
Identify the most appropriate imputation method for handling missing values in clinical structured datasets: a systematic review.

本文引用的文献

1
Evidence and gap maps: a comparison of different approaches.证据与差距图:不同方法的比较
Campbell Syst Rev. 2018 Oct 12;14(1):1-38. doi: 10.4073/cmdp.2018.2. eCollection 2018.
2
International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium.国际电子健康记录衍生的COVID-19临床病程概况:4CE联盟
NPJ Digit Med. 2020 Aug 19;3:109. doi: 10.1038/s41746-020-00308-0. eCollection 2020.
3
Life at the Editorial "COVID Frontline". The American Thoracic Society Journal Family.编辑部门“新冠疫情前线”的工作生活。美国胸科学会期刊大家庭。
识别处理临床结构化数据集缺失值的最合适插补方法:系统评价。
BMC Med Res Methodol. 2024 Aug 28;24(1):188. doi: 10.1186/s12874-024-02310-6.
4
Perspectives on the Impact of the COVID-19 Pandemic on Research: A Cross-Sectional Survey of Pediatric Otolaryngologists.新冠疫情对研究影响的观点:儿科耳鼻喉科医生的横断面调查
Cureus. 2024 May 16;16(5):e60436. doi: 10.7759/cureus.60436. eCollection 2024 May.
5
Artificial intelligence and machine learning in prehospital emergency care: A scoping review.院前急救中的人工智能与机器学习:一项范围综述。
iScience. 2023 Jul 17;26(8):107407. doi: 10.1016/j.isci.2023.107407. eCollection 2023 Aug 18.
6
Text classification technique for discovering country-based publications from international COVID-19 publications.从国际新冠肺炎出版物中发现基于国家的出版物的文本分类技术。
Digit Health. 2023 Jul 3;9:20552076231185674. doi: 10.1177/20552076231185674. eCollection 2023 Jan-Dec.
7
Trends, characteristics, and impact of global scientific production on mental health of health workers in the context of coronavirus disease 2019 (COVID-19).2019年冠状病毒病(COVID-19)背景下全球科研产出对卫生工作者心理健康的趋势、特征及影响
J Family Community Med. 2023 Jan-Mar;30(1):12-17. doi: 10.4103/jfcm.jfcm_228_22. Epub 2022 Dec 29.
8
Scientometric Analysis of Global Scientific Publications on COVID-19 and Diabetes with an Emphasis on Middle Eastern Countries.关于新冠病毒病和糖尿病的全球科学出版物的科学计量分析,重点关注中东国家
Int J Endocrinol Metab. 2022 Aug 15;20(3):e120812. doi: 10.5812/ijem-120812. eCollection 2022 Jul.
9
[Translated article] Significant Contribution of Spanish Dermatology Toward Understanding COVID-19: A Bibliometric Study of PubMed-Indexed Articles.[翻译文章] 西班牙皮肤病学对理解新型冠状病毒肺炎的重大贡献:一项对PubMed索引文章的文献计量学研究
Actas Dermosifiliogr. 2022 Oct;113(9):T919-T921. doi: 10.1016/j.ad.2022.09.003. Epub 2022 Sep 10.
10
Eye-Related COVID-19: A Bibliometric Analysis of the Scientific Production Indexed in Scopus.眼相关 COVID-19:Scopus 索引科学产出的文献计量分析。
Int J Environ Res Public Health. 2022 Aug 11;19(16):9927. doi: 10.3390/ijerph19169927.
Am J Respir Crit Care Med. 2020 Jun 15;201(12):1457-1459. doi: 10.1164/rccm.202005-1516ED.
4
Internet Searches for Unproven COVID-19 Therapies in the United States.互联网上对未经证实的新冠病毒治疗方法的搜索情况。
JAMA Intern Med. 2020 Aug 1;180(8):1116-1118. doi: 10.1001/jamainternmed.2020.1764.
5
A Bibliometric Analysis of COVID-19 Research Activity: A Call for Increased Output.COVID-19研究活动的文献计量分析:呼吁增加产出。
Cureus. 2020 Mar 21;12(3):e7357. doi: 10.7759/cureus.7357.
6
Multidisciplinary research priorities for the COVID-19 pandemic: a call for action for mental health science.2019冠状病毒病大流行的多学科研究重点:呼吁开展心理健康科学行动
Lancet Psychiatry. 2020 Jun;7(6):547-560. doi: 10.1016/S2215-0366(20)30168-1. Epub 2020 Apr 15.
7
Hydroxychloroquine in the management of critically ill patients with COVID-19: the need for an evidence base.羟氯喹在COVID-19危重症患者管理中的应用:循证依据的必要性。
Lancet Respir Med. 2020 Jun;8(6):539-541. doi: 10.1016/S2213-2600(20)30172-7. Epub 2020 Apr 15.
8
The Untold Toll - The Pandemic's Effects on Patients without Covid-19.未知的代价——疫情对非新冠患者的影响
N Engl J Med. 2020 Jun 11;382(24):2368-2371. doi: 10.1056/NEJMms2009984. Epub 2020 Apr 17.
9
Predictive Mathematical Models of the COVID-19 Pandemic: Underlying Principles and Value of Projections.2019年冠状病毒病大流行的预测数学模型:基本原理与预测价值
JAMA. 2020 May 19;323(19):1893-1894. doi: 10.1001/jama.2020.6585.
10
Temporal dynamics in viral shedding and transmissibility of COVID-19.新冠病毒脱落和传播的时间动态。
Nat Med. 2020 May;26(5):672-675. doi: 10.1038/s41591-020-0869-5. Epub 2020 Apr 15.