Evidence mapPaperPMID 41195082Full record

ReviewFrontiers in aging neuroscience2025

Levodopa-induced dyskinesia in Parkinson's disease: an updated review of pharmacological treatments.

Feifei Chen, Changqing Zhou

Abstract readReview
In one paragraph

Review in Frontiers in aging neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Non-motor fluctuation patterns in dyskinetic patients with advanced Parkinson's disease.Journal of neural transmission (Vienna, Austria : 1996) · 2026
    Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Feifei ChenDepartment of Neurology, Bishan Hospital of Chongqing Medical University, Chongqing, China.
Changqing ZhouDepartment of Neurology, Bishan Hospital of Chongqing Medical University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Levodopa-induced dyskinesia (LID) remains one of the most disabling complications of long-term dopaminergic therapy in Parkinson's disease. Despite decades of investigation, only amantadine has been established as the standard FDA-approved treatment, while istradefylline provides a complementary non-dopaminergic option. Most other candidate agents-including memantine, clozapine, and serotonergic or noradrenergic modulators-have shown inconsistent efficacy or safety limitations, underscoring persistent translational challenges between preclinical promise and clinical outcomes. In addition to pharmacological therapies, deep brain stimulation (DBS) serves as an established non-pharmacological intervention for advanced cases. This review systematically synthesizes current pharmacological strategies, consolidating evidence on mechanisms, efficacy, safety, and regulatory status. We further highlight failed or inconclusive trials, emphasize gaps in trial design and patient heterogeneity, and discuss emerging approaches such as individualized therapeutic frameworks, novel drug delivery systems, and AI-assisted drug discovery. Potential complementary pathways, including Traditional Chinese Medicine (TCM), are also briefly noted as alternative directions. By linking mechanistic insights with therapeutic evidence, this review provides an updated framework for optimizing LID management and guiding future research directions.

Indexed as

clinical studieslevodopa-induced dyskinesianon-dopaminergic medicationsParkinson’s diseasepharmacological treatments dopaminergic agents

Identifiers

PMID41195082
PMCPMC12583070

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.