ReviewCNS drugs2020
Improving the Delivery of Levodopa in Parkinson's Disease: A Review of Approved and Emerging Therapies.
Review in CNS drugs, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
28 citing papers in PubMed, 1 synthesis or guideline pooled it.
- High-dose versus low-dose inhaled levodopa (CVT-301) in patients with Parkinson disease for the treatment of OFF episodes: a meta-analysis of randomized controlled trials.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2022Pooled it
- The TransEuro open-label trial of human fetal ventral mesencephalic transplantation in patients with moderate Parkinson's disease.Nature biotechnology · 2026Trial
- Chemically Programmed Prodrug Nanoparticles for Precise Oral Dopamine Delivery to Deep Brain Regions in Parkinson's Disease.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- Exploring Preferences and Priorities in Advanced Parkinson's Disease: A Discrete Choice Experiment.Neurology and therapy · 2026Article
- Article
- Breaking the Barrier of Brain Disease Therapeutics: Advocating Targeted Drug Delivery for Improved Neuro-Resident Interventions.AAPS PharmSciTech · 2026Review
- Cerebrospinal fluid dopamine 3-O-sulfate as a novel biomarker for predicting motor complications in Parkinson's disease: insights from the PPMI cohort.Journal of translational medicine · 2026Article
- Foslevodopa/Foscarbidopa Continuous Subcutaneous Infusion in Parkinson's Disease: Real-World Short-Term Data on Tolerability, Infusion Rate Adjustments and Concomitant Medication.Movement disorders clinical practice · 2025Article
- Continuous Dopaminergic Stimulation-Based Levodopa Treatment in Patients with Early to Mid-Stage Parkinson's Disease: A Systematic Review and Meta-Analysis.Neurology and therapy · 2025Review
- Enhancements in Parkinson's Disease Management: Leveraging Levodopa Optimization and Surgical Breakthroughs.Current drug targets · 2025Review
- Targeting the Sirtuin-1/PPAR-Gamma Axis, RAGE/HMGB1/NF-κB Signaling, and the Mitochondrial Functions by Canagliflozin Augments the Protective Effects of Levodopa/Carbidopa in Rotenone-Induced Parkinson's Disease.Medicina (Kaunas, Lithuania) · 2024Article
- Lauric acid with or without levodopa ameliorates Parkinsonism in genetically modified model of Drosophila melanogaster via the oxidative-inflammatory-apoptotic pathway.Brain and behavior · 2024Article
- Subcutaneous Levodopa: A New Engine for the Vintage Molecule.Neurology and therapy · 2024Review
- Advances in Modeling Approaches for Oral Drug Delivery: Artificial Intelligence, Physiologically-Based Pharmacokinetics, and First-Principles Models.Pharmaceutics · 2024Review
- Poly(acrylic acid)/Poly(vinyl alcohol) Microarray Patches for Continuous Transdermal Delivery of Levodopa and Carbidopa: In Vitro and In Vivo Studies.Pharmaceutics · 2024Article
- A decision support system based on recurrent neural networks to predict medication dosage for patients with Parkinson's disease.Scientific reports · 2024Article
- Prediction of dyskinesia in Parkinson's disease patients using machine learning algorithms.Scientific reports · 2023Article
- Model-based optimization of controlled release formulation of levodopa for Parkinson's disease.Scientific reports · 2023Article
- The Management of Parkinson's Disease: An Overview of the Current Advancements in Drug Delivery Systems.Pharmaceutics · 2023Review
- Translational molecular imaging and drug development in Parkinson's disease.Molecular neurodegeneration · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Levodopa is the most effective drug for the treatment of Parkinson's disease, but its use as an oral medication is complicated by its erratic absorption, extensive metabolism and short plasma half-life. On long-term use and with disease progression, there is a high incidence of motor and non-motor complications, which remain a major clinical and research challenge. It is widely accepted that levodopa needs to be administered using formulations that result in good and consistent bioavailability and the physiologically relevant and continuous formation of dopamine in the brain to maximise its efficacy while avoiding and reversing 'wearing off' and dyskinesia. However, the physicochemical properties of levodopa along with its pharmacokinetic and pharmacodynamic profile make it difficult to deliver the drug in a manner that fulfils these criteria. In this review, we examine the problems associated with the administration of levodopa in Parkinson's disease and how the use of novel technologies and delivery devices is leading to a more consistent and sustained levodopa delivery with the aim of controlling motor function as well as non-motor symptoms.
Indexed as
Identifiers
33146817What OpenQuestion holds
Registered trials
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 OpenQuestion graph.