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Cited by 342

The DOI matches its Crossref record; 150 of the 150 references it cites were found in a registry or an index.

Current approaches to the treatment of Parkinson’s disease

Open access
Jankovic, Joseph·2008·Neuropsychiatric Disease and Treatment

Abstract

Enormous progress has been made in the treatment of Parkinson's disease (PD). As a result of advances in experimental therapeutics, many promising therapies for PD are emerging. Levodopa remains the most potent drug for controlling PD symptoms, yet is associated with significant complications such as the "wearing off" effect, levodopa-induced dyskinesias and other motor complications. Catechol-o-methyl-transferase inhibitors, dopamine agonists and nondopaminergic therapy are alternative modalities in the management of PD and may be used concomitantly with levodopa or one another. The neurosurgical treatment, focusing on deep brain stimulation, is reviewed briefly. Although this review has attempted to highlight the most recent advances in the treatment of PD, it is important to note that new treatments are not necessarily better than the established conventional therapy and that the treatment options must be individualized and tailored to the needs of each individual patient.

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Metadata

Authors
Jankovic, J.
Venue
Neuropsychiatric Disease and Treatment
Published
2008-09
Volume
4
Issue
4
Pages
743
ISSN
1176-6328 (ISSN-L)
OpenAlex
W1984879946
Cited by
342
References
150
FWCI
3.14
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Current approaches to the treatment of Parkinson’s disease. https://app.cochat.ai/papers/10.2147/ndt.s2006
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Jankovic, J. (2008). Current approaches to the treatment of Parkinson’s disease. Neuropsychiatric Disease and Treatment. https://doi.org/10.2147/ndt.s2006

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.