Prehospital Stroke Detection Devices: A Bibliometric Analysis of Current Trends

Background: Stroke represents the second highest disease burden worldwide. It is well documented that rapid stroke identification and treatment are associated with improved outcomes. In particular, prehospital stroke detection (PSD) devices have emerged as possible tools to facilitate more rapid and accurate stroke triage. Bibliometric analyses offer a powerful tool to characterize the entire field from an interdisciplinary perspective. This bibliometric analysis aims to analyze current themes and identify future trends within the PSD space. Methods: The Web of Science collection database was surveyed for PSD literature. Search terms focused on stroke diagnostic techniques, clinical indicators for ischemia/hemorrhage, and prehospital timing. Subsequently, VOSviewer was used for visual mapping analyses. Results: A total of 237 documents were identified between 1995 and 2021 from 1190 different authors. Publication volume has increased greatly in recent years. Publications were spread across 156 journals with the largest journal, Stroke, contributing just 7 studies over 26 years. Keywords analysis showed that stroke, near-infrared spectroscopy, and electroencephalography were the most common keywords. Conclusions: Novel PSD devices are promising tools for the early detection and characterization of stroke. This study identifies recent increased attention to PSD technology, a trend that will likely continue in the coming years. Devices using near-infrared spectroscopy, ultrasonography, microwave, and electroencephalography represent the central areas of future PSD research. The multidisciplinary, and therefore fractured, nature of the PSD space requires those interested in the field to maintain active search habits across multiple journals to remain up to date on PSD innovations.