Ketamine Clinical Use on the Pediatric Critically Ill Infant: A Global Bibliometric and Critical Review of Literature

Abstract

The developing central nervous system is vulnerable to several stimuli, especially psychotropic drugs. Sedation procedures during the developmental period are frequent in pediatric intensive care units (PICUs), in which the use of the sedative agent is still a challenge for the PICU team. Ketamine has been indicated for sedation in critically ill children with hemodynamic and ventilatory instabilities, but the possible neurobehavioral consequences related to this use are still uncertain. Here, we performed a bibliometric analysis with conventional metrics and a critical review of clinical findings to reveal a gap in the literature that deserves further investigation. We revealed that only 56 articles corresponded to the inclusion criteria of the study. The United States of America emerges as the main country within the scope of this review. In addition, professional clinical societies play a key role in the publications of scientific clinical findings through the specialist journals, which encourages the sharing of research work. The co-occurrence of keywords evidenced that the terms “sedation”, “ketamine”, and “pediatric” were the most frequent. Case series and review articles were the most prevalent study design. In the critical evaluation, the scarce studies highlight the need of use and post-use monitoring, which reinforces the importance of additional robust clinical studies to characterize the possible adverse effects resulting from ketamine anesthetic protocol in critically ill children.

Amazonian Plants: A Global Bibliometric Approach to Petiveria alliacea L. Pharmacological and Toxicological Properties

“…Here, we collected information about articles’ titles, author’s name, number of citations, citation density by country, journal’s name, journal’s impact factor (considering JCR 2022, ©2023 Clarivate), author’s keywords, countries, and institutions. The VOSviewer software (version 1.6.16) was used to visualize the metrics listed [ 72 ]. The generated networks are represented by nodes (clusters) and lines (connections); the cluster size is directly proportional to the number of publications/citations of authors, frequency of occurrence of keywords, and institutions; the lines between each cluster represent the co-authorship network, the connection between keywords, or inter-institutional connection.…”