Knowledge Mapping and Research Hotspots of Comorbidities in Psoriasis: A Bibliometric Analysis from 2004 to 2022

Abstract

Background and Objectives: Psoriasis is a chronic inflammatory disease whose impact on health is not only limited to the skin, but is also associated with multiple comorbidities. Early screening for comorbidities along with appropriate treatment plans can provide a positive prognosis for patients. This study aimed to summarize the knowledge structure in the field of psoriasis comorbidities and further explore its research hotspots and trends through bibliometrics. Materials and Methods: A search was conducted in the core collection of the Web of Science for literature on comorbidities of psoriasis from 2004 to 2022. VOSviewer and CiteSpace software were used for collaborative network analysis, co-citation analysis of references, and keyword co-occurrence analysis on these publications. Results: A total of 1803 papers written by 6741 authors from 81 countries was included. The publications have shown a progressive increase since 2004. The United States and Europe were at the forefront of this field. The most prolific institution was the University of California, and the most productive author was A. Armstrong. Research has focused on “psoriatic arthritis”, “metabolic syndrome”, “cardiovascular disease”, “psychosomatic disease”, “inflammatory bowel disease”, “prevalence”, “quality of life”, and “risk factor” in the past 18 years. Keywords such as “biologics” and “systemic inflammation”, have been widely used recently, suggesting current research hotspots and trends. Conclusions: Over the past 18 years, tremendous progress has been made in research on psoriasis comorbidity. However, collaborations among countries, institutions, and investigators are inadequate, and the study of the mechanisms of interaction between psoriasis and comorbidities and management of comorbidities is insufficient. The treatment of comorbidities with biologic agents, screening of comorbidities, and multidisciplinary co-management are predicted to be the focus of future research.

Global research trends in artificial intelligence for critical care with a focus on chord network charts: Bibliometric analysis

“…In bibliometrics, network charts are frequently used to report the collaborations and cooccurrences involving the most active international entities across countries, research institutes, departments, authors, and keywords. [3,28,[46][47][48][49][50] However, these charts often suffer from unclear labeling and relationships between members. To address these limitations, this study will demonstrate the use of 5 CNCs in AI for critical care.…”

“…The figure illustrates 3 types of network charts used in bibliometric analyses: clusters [3,28,[46][47][48][49][50]52] (clusters are randomly scattered); circles [53][54][55][56][57][58] (members are grouped by cluster and bubble size), and chords [43][44][45]59] (similar to the circle chart with significant relationships between members). Readers will find that the CNC with a dashboard-type representation has a meaningful and clear interface.…”

Bibliometric analysis and description of research trends on T cells in psoriasis over the past two decades (2003–2022)

“…Despite its limitations, bibliometrics has demonstrated an indispensable role in numerous scientific fields [ 8 ]. Previous bibliometric studies on the subdivision of psoriasis have mainly focused on psoriatic arthritis [ 9 ], psoriasis comorbidities [ 10 ], and research differences between different countries [ 11 ]. To our knowledge, no bibliometric study has assessed T cells in psoriasis.…”

Acciones y barreras del conocimiento en Dermatología aplicado a la situación colombiana

“…En uno de los buscadores más reconocidos se encontraron más de 56.000 artículos relacionados con psoriasis, en una búsqueda realizada hasta el 2023, lo cual es indicativo de esta inmensidad de información (2) . Incluso, desde la aparición de Internet y la tecnología, la tendencia es al aumento, donde se ha visto que desde el año 2007 hay hasta diez veces el número de publicaciones relacionadas con esta enfermedad (3) . Los grupos de expertos, las asociaciones científicas y hasta la industria farmacéutica utilizarán estrategias para escoger los datos de mayor relevancia para determinar qué información debe integrarse y remitirse.…”