Treatment of Parkinson's disease by deep brain stimulation: a bibliometric analysis.
Sao Paulo Med J
; 142(5): e2023187, 2024.
Article
en En
| MEDLINE
| ID: mdl-38836819
ABSTRACT
BACKGROUND:
For more than 30 years, deep brain stimulation (DBS) has been a therapeutic tool for Parkinson's disease (PD) treatment. DBS can ameliorate several motor and non-motor symptoms and improve the patients' quality of life.OBJECTIVES:
To analyze the global scientific production of original and review articles on Parkinson's disease treatment using deep brain stimulation. DESIGN ANDSETTING:
Descriptive, bibliometric study with a quantitative approach.METHOD:
The research protocol was conducted in March 2023 using the Web of Science database. Six hundred eighty-four articles were included in the analysis. Data were imported into RStudio Desktop Software, linked to R Software. The Bibliometrix R package, its Biblioshiny web interface, and VOSviewer software were used for the analysis.RESULTS:
The international production began in 1998. Movement Disorders is the journal with the largest number of published articles and the most cited. Michael Okun and Andres Lozano are the authors who produced the most in this area. The University of Florida is the most active affiliated institution in Brazil. The United States has the largest number of collaborations and is mainly published by local researchers. In contrast, countries such as the United Kingdom and Canada have a high number of multi-country publications. The 15 most cited studies predominantly investigated subthalamic nucleus stimulation.CONCLUSION:
DBS for Parkinson's disease is a relatively novel therapeutic approach, with studies that have expanded over the last twenty-five years. Most scientific production was quantitative and restricted to specialized journals. The United States, Europe, and China held the most articles.
Texto completo:
1
Banco de datos:
MEDLINE
Asunto principal:
Enfermedad de Parkinson
/
Bibliometría
/
Estimulación Encefálica Profunda
Límite:
Humans
Idioma:
En
Año:
2024
Tipo del documento:
Article