Evidence map›Paper›PMID 31654235›Full record

ReviewDer Nervenarzt2019

[Remote assessment of idiopathic Parkinson's disease : Developments in diagnostics, monitoring and treatment].

U Kleinholdermann, J Melsbach, D J Pedrosa

Abstract readReview
PubMed Publisher
In one paragraph

Review in Der Nervenarzt, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 33% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Randomizing a clinical trial in neuro-degenerative disease.Contemporary clinical trials communications · 2023
    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

3 authors at 2 institutions in 1 country.

U KleinholdermannKlinik für Psychiatrie und Psychotherapie, Philipps-Universität Marburg, Rudolf-Bultmann-Str. 8, 35039, Marburg, Deutschland. kleinhol@med.uni-marburg.de.
J MelsbachSeminar für Wirtschaftsinformatik und Informationsmanagement, Universität zu Köln, Köln, Deutschland.
D J PedrosaKlinik für Neurologie, Philipps-Universität Marburg, Marburg, Deutschland.
Philipps University of Marburg · DECologne Institute for Economic Research · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The idiopathic Parkinson's disease (iPD) is a progressive neurodegenerative disorder primarily resulting in impaired movement execution. In the course of the disease symptom fluctuation is common and makes adequate treatment difficult. In this overview the current approaches using modern and especially mobile technologies for diagnosis, monitoring and treatment of iPD are presented. Currently, there are no medical aids ready for point of care application; however, the development of these technologies has great potential for improving care for patients suffering from iPD.

Indexed as

Parkinson DiseaseRemote ConsultationHumansDisease monitoringMobile technologySensorsSymptom fluctuationTailored therapy

Identifiers

PMID31654235
OpenAlexW2984136447

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.