Department of Anesthesia and Pain Medicine, The Hospital for Sick Children, Toronto, Ontario, Canada.
Program in Child Health Evaluative Sciences, SickKids Research Institute, Toronto, Ontario, Canada.
PLoS One. 2021 Feb 2;16(2):e0246427. doi: 10.1371/journal.pone.0246427. eCollection 2021.
The COVID-19 pandemic has yielded an unprecedented quantity of new publications, contributing to an overwhelming quantity of information and leading to the rapid dissemination of less stringently validated information. Yet, a formal analysis of how the medical literature has changed during the pandemic is lacking. In this analysis, we aimed to quantify how scientific publications changed at the outset of the COVID-19 pandemic.
We performed a cross-sectional bibliometric study of published studies in four high-impact medical journals to identify differences in the characteristics of COVID-19 related publications compared to non-pandemic studies. Original investigations related to SARS-CoV-2 and COVID-19 published in March and April 2020 were identified and compared to non-COVID-19 research publications over the same two-month period in 2019 and 2020. Extracted data included publication characteristics, study characteristics, author characteristics, and impact metrics. Our primary measure was principal component analysis (PCA) of publication characteristics and impact metrics across groups.
We identified 402 publications that met inclusion criteria: 76 were related to COVID-19; 154 and 172 were non-COVID publications over the same period in 2020 and 2019, respectively. PCA utilizing the collected bibliometric data revealed segregation of the COVID-19 literature subset from both groups of non-COVID literature (2019 and 2020). COVID-19 publications were more likely to describe prospective observational (31.6%) or case series (41.8%) studies without industry funding as compared with non-COVID articles, which were represented primarily by randomized controlled trials (32.5% and 36.6% in the non-COVID literature from 2020 and 2019, respectively).
In this cross-sectional study of publications in four general medical journals, COVID-related articles were significantly different from non-COVID articles based on article characteristics and impact metrics. COVID-related studies were generally shorter articles reporting observational studies with less literature cited and fewer study sites, suggestive of more limited scientific support. They nevertheless had much higher dissemination.
COVID-19 大流行产生了前所未有的大量新出版物,导致信息量过大,从而迅速传播了一些验证不够严格的信息。然而,目前缺乏对医学文献在大流行期间变化情况的正式分析。在这项分析中,我们旨在量化 COVID-19 大流行开始时科学出版物的变化情况。
我们对四家高影响力医学期刊上发表的研究进行了横断面文献计量学研究,以确定与 COVID-19 相关的出版物与非大流行研究之间在特征上的差异。确定 2020 年 3 月和 4 月发表的与 SARS-CoV-2 和 COVID-19 相关的原始研究,并与 2019 年和 2020 年同期的非 COVID-19 研究出版物进行比较。提取的数据包括出版物特征、研究特征、作者特征和影响指标。我们的主要测量方法是对各组出版物特征和影响指标进行主成分分析(PCA)。
我们确定了符合纳入标准的 402 篇出版物:76 篇与 COVID-19 相关;154 篇和 172 篇分别为 2020 年和 2019 年同期的非 COVID-19 出版物。利用收集的文献计量学数据进行的 PCA 显示,COVID-19 文献子集与两组非 COVID-19 文献(2019 年和 2020 年)相分离。与非 COVID-19 文章相比,COVID-19 出版物更有可能描述无行业资助的前瞻性观察性(31.6%)或病例系列研究(41.8%),而非 COVID-19 文章主要由随机对照试验组成(2020 年和 2019 年非 COVID-19 文献中分别为 32.5%和 36.6%)。
在对四家普通医学期刊发表的论文进行的这项横断面研究中,基于论文特征和影响指标,COVID-19 相关论文与非 COVID-19 论文有显著差异。COVID-19 相关研究通常是较短的文章,报告观察性研究,引用的文献较少,研究地点也较少,这表明科学支持更为有限。然而,它们的传播范围却要广泛得多。