Trends in Clinical Prediction Models of Stroke Outcomes Research: A Bibliometric Analysis

Abstract

Stroke is one of the leading causes of death and disability globally. Clinical models have been reported to predict stroke outcomes and thus, potentially guide clinical decisions. This study aimed to describe the global trends of research in clinical prediction models of stroke outcomes. A bibliometric analysis was conducted on clinical prediction models of stroke outcomes publications reported in Scopus from 2010 to 2019. Bibliographic data were extracted, quantitatively analysed, and visualized using VOSviewer software. A total of 6,364 publications were included in the final analysis. The number of published studies had steadily increased since 2010. “Stroke” and “Journal of Stroke and Cerebrovascular Diseases” were the journal with the most publications and citations. The most cited publications were by Lip et al. (2010) and Berkhemer et al. (2015). The United States of America (USA), China together with their institutions contributed most to the pool of publications in the field. Our study showed a steady increasing research activity in the clinical prediction of stroke outcomes since 2010, with saturation in recent years. The top articles were published in high-quality stroke-related journals and by high-income countries. There is a need to reinforce research capacities in the field by developing collaborative networks.

Keywords

• prediction models
• bibliometric analysis
• scopus
• stroke
• vosviewer