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N Engl J Med. 2022 May 5;386(18):1700-1711. doi: 10.1056/NEJMoa2119657. Epub 2022 Mar 30.
2
Estimating excess mortality due to the COVID-19 pandemic: a systematic analysis of COVID-19-related mortality, 2020-21.估算2019冠状病毒病大流行造成的超额死亡率:2020 - 2021年与2019冠状病毒病相关死亡率的系统分析
Lancet. 2022 Apr 16;399(10334):1513-1536. doi: 10.1016/S0140-6736(21)02796-3. Epub 2022 Mar 10.
3
Clinical frailty, and not features of acute infection, is associated with late mortality in COVID-19: a retrospective cohort study.临床虚弱,而非急性感染特征,与 COVID-19 晚期死亡率相关:一项回顾性队列研究。
J Cachexia Sarcopenia Muscle. 2022 Jun;13(3):1502-1513. doi: 10.1002/jcsm.12966. Epub 2022 Mar 7.
4
Fatigue and cognitive impairment in Post-COVID-19 Syndrome: A systematic review and meta-analysis.新冠后综合征中的疲劳和认知障碍:系统评价和荟萃分析。
Brain Behav Immun. 2022 Mar;101:93-135. doi: 10.1016/j.bbi.2021.12.020. Epub 2021 Dec 29.
5
Reasons and consequences of COVID-19 vaccine failure in patients with chronic lymphocytic leukemia.慢性淋巴细胞白血病患者 COVID-19 疫苗失败的原因和后果。
Eur J Haematol. 2022 Feb;108(2):91-98. doi: 10.1111/ejh.13722. Epub 2021 Dec 5.
6
Pre-existing health conditions and severe COVID-19 outcomes: an umbrella review approach and meta-analysis of global evidence.既往健康状况与严重 COVID-19 结局:全球证据的伞式评价方法和荟萃分析。
BMC Med. 2021 Aug 27;19(1):212. doi: 10.1186/s12916-021-02058-6.
7
COVID-19 and hepatitis B infection.COVID-19 与乙型肝炎感染。
Antivir Ther. 2020;25(8):389-397. doi: 10.3851/IMP3382.
8
A Comprehensive Overview of the COVID-19 Literature: Machine Learning-Based Bibliometric Analysis.《COVID-19 文献综述:基于机器学习的文献计量分析》
J Med Internet Res. 2021 Mar 8;23(3):e23703. doi: 10.2196/23703.
9
The emerging COVID-19 research: dynamic and regularly updated science maps and analyses.新兴的 COVID-19 研究:动态且定期更新的科学图谱和分析。
BMC Med Inform Decis Mak. 2020 Nov 30;20(1):309. doi: 10.1186/s12911-020-01321-9.
10
Analysis of the global situation of COVID-19 research based on bibliometrics.基于文献计量学的新冠病毒肺炎研究全球态势分析
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新型冠状病毒肺炎相关慢性病的影响正逐渐显现:文献计量分析的发现与趋势

The impact of COVID-19-related chronic disease is gradually emerging: discovery and trends from a bibliometric analysis.

作者信息

Huang Guangcheng, Yang Yue, Cheng Fan, Li Qian, Shao Yuqing, Zhang Xiaoqiong, Kuang Haidong, Yu Hongjie, Liu Yuan, Zhu Yanhong, Lv Yipeng

机构信息

School of Public Health, School of Medicine, Shanghai Jiao Tong University Shanghai, P. R. China.

Purchasing Center of Shanghai Chest Hospital (Chest Hospital Affiliated to Shanghai Jiao Tong University School of Medicine) Shanghai, P. R. China.

出版信息

Am J Transl Res. 2023 Dec 15;15(12):6905-6910. eCollection 2023.

PMID:38186985
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10767523/
Abstract

OBJECTIVE

To conduct a literature survey of COVID-19-related chronic diseases to inform future research.

METHODS

Publications on COVID-19 and chronic disease were retrieved from PubMed using MeSH Major Topic, including the terms COVID-19, SARS-CoV-2, Chronic Disease and Noncommunicable Diseases. Bibliometric features, journals, research areas, countries, funding agencies and citation reports, were extracted from Web of Science and highly cited papers identified and summarized. Fisher's exact probability test was used to associate highly cited papers with countries.

RESULTS

A total of 1034 English-language publications were included. Urology/nephrology was the most active research area (n=230), PLOS ONE the most frequently involved journal (n=29) and the United States of America (USA) had the greatest research output (n=223). A medium number of publications were in the areas of hematology and immunology and these papers had a high citation rate. No statistically significant difference was found in the ratio of highly cited papers: total papers across high-output countries (P=0.668). The USA, Europe and China were the sources of the most highly cited articles and productive funding agencies.

CONCLUSIONS

The influence of COVID-19 on chronic disease has received considerable attention. Hematology and immunology may continue to be productive research fields. Much research remains to be done to characterize the emerging chronic effects of COVID-19 on human health.

摘要

目的

对与新冠病毒病相关的慢性病进行文献综述,为未来研究提供参考。

方法

使用医学主题词(MeSH)主要主题词从PubMed检索关于新冠病毒病和慢性病的出版物,包括新冠病毒病、严重急性呼吸综合征冠状病毒2、慢性病和非传染性疾病等术语。从科学网提取文献计量学特征、期刊、研究领域、国家、资助机构和被引报告,确定并总结高被引论文。采用Fisher精确概率检验将高被引论文与国家相关联。

结果

共纳入1034篇英文出版物。泌尿学/肾脏病学是最活跃的研究领域(n = 230),《公共科学图书馆·综合》(PLOS ONE)是最常涉及的期刊(n = 29),美国的研究产出最多(n = 223)。血液学和免疫学领域的出版物数量中等,且这些论文的被引率较高。高产出国家的高被引论文与总论文的比例未发现统计学显著差异(P = 0.668)。美国、欧洲和中国是被引次数最多的文章来源地和高效资助机构。

结论

新冠病毒病对慢性病的影响已受到相当多关注。血液学和免疫学可能仍是富有成效的研究领域。要描述新冠病毒病对人类健康新出现的慢性影响,仍有许多研究工作要做。