COVID-19 publications in anaesthesiology journals: a bibliometric analysis

Editor—We carried out a bibliometric analysis1,  2,  3,  4,  5 to quantify the contribution of anaesthesiology journals to COVID-19 research, quantifying the proportion of COVID-19 publications in anaesthesiology journals from the COVID-19 pandemic onset, describing COVID-19 publication trends and comparing research topics between COVID-19 publications in anaesthesiology and non-anaesthesiology journals, and assessing the profile of publications in anaesthesiology journals according to journal impact factor (IF).

This study is embedded into the Covid Content Curation Project. This project was approved by the Research Ethics Committee of the University of Navarra. Research topic categories were defined following specialised COVID-19 article filters documented in the PubMed User Guide (Supplementary Table S1).

We estimated the proportion of COVID-19 publications in anaesthesiology journals among all COVID-19 publications using the Agresti–Coull method to calculate the corresponding 95% confidence interval (95% CI). Odds ratios (ORs) were estimated using logistic regression. P values <0.05 were considered statistically significant.

We downloaded data from 171 509 COVID-19-related publications available on PubMed as of date, 2021. After exclusions, 166 380 COVID-19 publications were available for analysis (Supplementary Fig. S1).

CITA DEL ARTÍCULO  Br J Anaesth. 2021 Dec 9;S0007-0912(21)00769-8.  doi: 10.1016/j.bja.2021.12.003