Parkinson's Disease Treatment: A Bibliometric Analysis
Notice bibliographique
Résumé
Parkinson's disease (PD) is a progressive neurodegenerative disorder marked by motor symptoms like bradykinesia, tremor, rigidity, and postural instability. Patients also experience non-motor symptoms that greatly affect their quality of life. The global prevalence of PD is increasing, especially among the elderly, necessitating effective treatment strategies. This review provides an overview of the current treatment modalities for PD, including pharmacological and surgical interventions, and employs a bibliometric analysis to evaluate the trends and impact of scientific research in this field. A comprehensive search of the Web of Science Core Collection (WoSCC) database was conducted on July 12, 2024, yielding 3,724 publications related to PD treatment. Bibliometric analysis was performed using Biblioshiny and VOSviewer to assess publication trends, impact, and collaborative networks. Metrics such as the number of publications, citations, h-index, and country/institutional contributions were analyzed to identify key areas of focus and influential research in PD treatment. The analysis revealed a significant increase in PD research output from 2000 onwards, peaking between 2011 and 2016. The United States led in research production, followed by China, Canada, and the United Kingdom. Key researchers included Lang AE, Okun MS, and Lozano AM, with the University of Toronto, University of California System, and Harvard University being the top contributing institutions. The study identified major trends in pharmacological treatments, such as dopamine replacement therapy and deep brain stimulation (DBS) as the most common surgical intervention. Bibliometric analysis highlighted significant international collaborations and identified influential studies shaping the current understanding and treatment of PD. This bibliometric analysis elucidated the trends and impacts of scientific contributions, emphasizing the prolific output from leading countries and institutions in relation to the treatment of Parkinson's disease. Take-home messages for the conclusion of our study are as follows: (1) this study found a substantial increase in Parkinson's disease (PD) research output from 2000 onwards, peaking around 2017-2018, (2) noted a decline in publication output post-2020, (3) the United States had the highest research output, followed by significant contributions from countries like China, Canada, and the United Kingdom, (4) international collaborations played a vital role in advancing PD research, (5) key researchers in the field were Lang AE, Okun MS, and Lozano AM, (6) and established institutions like the University of Toronto, Johns Hopkins University and Harvard University made substantial contributions to the field, emphasizing the role of leading academic centers in driving PD research.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,002 | 0,003 |
| Bibliométrie | 0,035 | 0,129 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».