Scientometric analysis of articles of respiratory gas mixtures and their application in emergency medicine

Abstract

Relevance. In humans, specific respiratory gas mixtures (RGMs) significantly maximize the effect of anesthesia and treatment of certain diseases, as well as enhance body functional reserves and exercise performance. The objective is to identify major research prospects on the RGM capacity to optimize the functional status of humans, as represented in publications by Russian investigators.Methods. In response to the RGMs query, the Scientific Electronic Library search engine generated a dataset of 513 publications by Russian investigators, published from 2006 to 2023. For further analysis of the publications, the VOSviewer 1.6.20 software was implemented for clustering of keywords with a frequency of ≥ 4 presented in ≥ 8 publications either by individual authors or co-authorship networks.Results and discussion. The average annual number of articles was (23 ± 3). The dynamics of increasing publications were revealed. The scientometric analysis of the selected publications revealed that the content was highly demanded among readers. For instance, the average citation number per paper was 3.29, with a substantial self-citation rate of 30.2 %. Journals with the largest number of publications by top scientific networks were identified. The VOSviewer analysis produced 7 keyword clusters: Cluster 1 for xenon anesthesia – 258 papers (35 %) with the total link strength of 29 %; Cluster 2 for hypoxic training – 171 papers (23.2%) with the total link strength of 22.5 %; Cluster 3 for gas composition in confined spaces – 76 papers (10.3 %) and 22 % total link strength; Cluster 4 for oxygen-helium gas mixture – 132 papers (17.9 %) with 16.4 % total link strength; Cluster 5 for the neuroprotective effects of gas mixtures – 32 papers (4.3 %) with 3.6 % total link strength; Cluster 6 for the anti-stress effect of xenon-rich inhalation therapy – 40 papers (5.4 %) with 3.6 % total link strength; Cluster 7 for low-flow anesthesia – 28 papers (3.8 %) with 3.6 % total link strength.Conclusion. Scientometric studies can enhance the data support for scientific research of advanced strategies to optimize human functional status and increasing performance at work for professionals operating in extreme occupational environments.