Prehospital Stroke Detection Devices: A Bibliometric Analysis of Current Trends.


Journal

World neurosurgery
ISSN: 1878-8769
Titre abrégé: World Neurosurg
Pays: United States
ID NLM: 101528275

Informations de publication

Date de publication:
Nov 2022
Historique:
received: 11 07 2022
revised: 07 09 2022
accepted: 08 09 2022
pubmed: 17 9 2022
medline: 18 2 2023
entrez: 16 9 2022
Statut: ppublish

Résumé

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. 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. 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. 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.

Sections du résumé

BACKGROUND 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 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 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 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.

Identifiants

pubmed: 36113713
pii: S1878-8750(22)01306-7
doi: 10.1016/j.wneu.2022.09.039
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e1360-e1375

Informations de copyright

Copyright © 2022 Elsevier Inc. All rights reserved.

Auteurs

Ian C Odland (IC)

Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, Mount Sinai Hospital, New York, USA; Mount Sinai BioDesign, Icahn School of Medicine at Mount Sinai, Mount Sinai Hospital, New York, USA. Electronic address: ian.odland@icahn.mssm.edu.

Susmita Chennareddy (S)

Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, Mount Sinai Hospital, New York, USA.

Roshini Kalagara (R)

Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, Mount Sinai Hospital, New York, USA.

Vikram Vasan (V)

Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, Mount Sinai Hospital, New York, USA.

Braxton R Schuldt (BR)

Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, Mount Sinai Hospital, New York, USA.

Margaret Downes (M)

Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, Mount Sinai Hospital, New York, USA.

Muhammad Ali (M)

Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, Mount Sinai Hospital, New York, USA.

Maxim Mokin (M)

University of South Florida, Department of Neurosurgery, Tampa, Florida, USA.

Christopher P Kellner (CP)

Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, Mount Sinai Hospital, New York, USA.

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