Evidence map›Paper›PMID 32854328›Full record

ArticleJournal of clinical medicine2020

Building a Parkinson-Network-Experiences from Germany.

Marlena van Munster, Lars Tönges, Kai F Loewenbrück, Tobias Warnecke, Carsten Eggers

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Multidisciplinary care in Parkinson's disease.Journal of neural transmission (Vienna, Austria : 1996) · 2024
    Article
  4. Article
  5. Randomizing a clinical trial in neuro-degenerative disease.Contemporary clinical trials communications · 2023
    Article
  6. Article
  7. 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

5 authors.

Marlena van MunsterDepartment of Neurology, University Hospital Marburg, 35033 Marburg, Germany.ORCID 0000-0002-6135-4860
Lars TöngesDepartment of Neurology, St. Josef-Hospital, Ruhr-University Bochum, 44801 Bochum, Germany.ORCID 0000-0001-6621-144X
Kai F LoewenbrückDepartment of Neurology, University Hospital Dresden, 01307 Dresden, Germany.
Tobias WarneckeDepartment of Neurology, University Hospital of Münster, 48149 Münster, Germany.ORCID 0000-0001-8979-5900
Carsten EggersDepartment of Neurology, University Hospital Marburg, 35033 Marburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Parkinson's disease is a complex neurodegenerative disease that can be best treated with a multi-disciplinary care approach. Building care networks has been shown as a useful tool to facilitate the integration of care services and improve outcomes for patients and care providers. However, experiences and practices relating to building a network are very limited in the field of Parkinson's disease. This paper portrays existing Parkinson networks in Germany. With the help of a standardized template, description of networks and their building-blocks, so-called modules, were collected from all over Germany. Modules were rated in terms of their expected benefit and the required effort when implementing them, with the help of an expert survey. The rating showed that some modules were perceived as more important than others, but all modules were recognized as beneficial for patients and care providers. Overall, the German experience shows that building a Parkinson network facilitates the integration of care and provides a benefit to all stakeholders involved.

Indexed as

integrated caremulti-disciplinary carenetworknetwork designParkinson’s disease

Identifiers

PMID32854328
PMCPMC7563415

What OpenQuestion holds

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Registered trials

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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.