Evidence map›Paper›PMID 30968290›Full record

ReviewDrugs2019

Are All Dopamine Agonists Essentially the Same?

Margherita Torti, Daniele Bravi, Laura Vacca, Fabrizio Stocchi

Abstract readReview
PubMed Publisher
In one paragraph

Review in Drugs, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.0field-weighted citation impact, top 9% of its field
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

12 citing papers in PubMed, 32 citations in OpenAlex.

  1. Review
  2. Article
  3. Dopamine Depletion in Parkinson's Disease and Therapeutic Options.CNS & neurological disorders drug targets · 2025
    Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Global & regional health technology assessment
    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

4 authors at 4 institutions in 2 countries.

Margherita TortiIRCCS San Raffaele Pisana, Center for Parkinson Disease, Rome, Italy.
Daniele BraviIRCCS San Raffaele Pisana, Center for Parkinson Disease, Rome, Italy.
Laura VaccaIRCCS San Raffaele Pisana, Center for Parkinson Disease, Rome, Italy.
Fabrizio StocchiIRCCS San Raffaele Pisana, Center for Parkinson Disease, Rome, Italy. fabrizio.stocchi@sanraffaele.it.ORCID http://orcid.org/0000-0002-5763-0033
IRCCS Ospedale San Raffaele · ITLundbeck (Denmark) · DKSan Raffaele University of Rome · ITUniversità degli studi di Cassino e del Lazio Meridionale · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dopamine agonists (DAs) represent an excellent treatment option for patients with Parkinson's disease, in both the early and advanced stages of the disease, improving motor symptoms, lowering the incidence of motor complications, and addressing several non-motor symptoms. Indeed, each of these compounds have different pharmacokinetic and pharmacodynamic properties, resulting in a unique efficacy and safety profile. Comorbidities, prominent non-motor symptoms and individual subjects' clinical characteristics should guide the choice of a specific DA, allowing better management of the patient by optimizing the DA benefit/risk ratio. In this article we discuss brain distribution of dopamine receptors and their role in each of the dopaminergic pathways, the pharmacological profile of non-ergoline DAs and class-related adverse effects, as reported from post-marketing studies.

Indexed as

Antiparkinson AgentsBrainDopamineDopamine AgonistsDrug DesignHumansMolecular StructureParkinson DiseaseReceptors, DopamineSignal TransductionStructure-Activity RelationshipAntiparkinson AgentsDopamineDopamine AgonistsReceptors, Dopamine

Identifiers

PMID30968290
OpenAlexW2936311601

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.