Evidence map›Paper›PMID 31222606›Full record

ArticleJournal of neural transmission (Vienna, Austria : 1996)2019

Polypharmacy in Parkinson's disease: risks and benefits with little evidence.

I Csoti, H Herbst, P Urban, D Woitalla, U Wüllner

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of neural transmission (Vienna, Austria : 1996), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 12% 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, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Management of Pain in Parkinson's Disease.Journal of Parkinson's disease · 2020
    Review
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

5 authors at 4 institutions in 1 country.

I CsotiGertrudis Clinic Parkinson-Center, Biskirchen, Germany.
H HerbstNeurozentrum Stuttgart, Sophienstraße 41, 70178, Stuttgart, Germany.
P UrbanAsklepios Klinik Barmbek, Rübenkamp 220, 22291, Hamburg, Germany.
D WoitallaKatholische Kliniken Ruhrhalbinsel gGmbH, Heidbergweg 22-24, 45257, Essen, Germany.
U WüllnerDepartment of Neurology, University of Bonn, Bonn, Germany. wuellner@uni-bonn.de.ORCID 0000-0002-3132-0790
Asklepios Klinik Barmbek · DEParkinson-Klinik Ortenau · DESolarzentrum Stuttgart (Germany) · DEUniversity of Bonn · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polypharmacy is common practice in Parkinson's disease. Medical treatment targeting the dopaminergic system alone may include up to five different compounds: L-DOPA (in combination with a DOPA decarboxylase inhibitor), a catechol-O-methyltransferase (COMT) and a monoamine oxidase (MAO-B) inhibitor and a dopamine agonist. Particular motor and non-motor symptoms may require additional specific therapeutics, such as drugs aimed at tremor control and to treat depression, dementia and orthostatic and autonomic dysfunction. No prospective studies have yet been performed with regard to the efficacy or the long-term benefit of combining such different treatments in Parkinson's disease and retrospective analyses are sparse. We thus tried to compile the available evidence for polypharmacy strategies in Parkinson's disease and devised an expert opinion statement.

Indexed as

PolypharmacyAntiparkinson AgentsHumansParkinson DiseaseAntiparkinson AgentsMedical treatmentParkinsons'sPolypharmacy

Identifiers

PMID31222606
OpenAlexW2949926529

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.