Evidence map›Paper›PMID 32568113›Full record

ReviewJournal of Parkinson's disease2020

Management of Pain in Parkinson's Disease.

Carsten Buhmann, Jan Kassubek, Wolfgang H Jost

Open access · bronzeAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Journal of Parkinson's disease, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 5 pooled it
3.9field-weighted citation impact, top 5% 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

51 citing papers in PubMed, 5 syntheses or guidelines pooled it, 93 citations in OpenAlex.

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  20. Incidence of Opioid Use Before and After Parkinson's Disease Diagnosis.European journal of pain (London, England) · 2025
    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 3 institutions in 1 country.

Carsten BuhmannDepartment of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Jan KassubekDepartment of Neurology, University of Ulm, Ulm, Germany.
Wolfgang H JostParkinson-Klinik Ortenau, Wolfach, Germany.
Parkinson-Klinik Ortenau · DEUniversität Ulm · DEUniversity Medical Center Hamburg-Eppendorf · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pain is a very frequent symptom with influence on the quality of life in Parkinson's disease (PD), but is still underdiagnosed and commonly treated only unsystematically. Pain etiology and pain character are often complex and multi-causal, and data regarding treatment recommendations are limited. Pain can be primarily related to PD but frequently it is associated with secondary diseases, such as arthrosis of the spine or joints. However, even basically PD-unrelated pain often is amplified by motor- or non-motor PD symptoms, such as akinesia or depression. Beyond an optimization of anti-parkinsonian treatment, additional pain treatment strategies are usually needed to properly address pain in PD. A careful pain history and diagnostic work-up is essential to rate the underlying pain pathophysiology and to develop a targeted therapeutic concept. This review gives an overview on how pain is treated in PD patients and how patients assess the effectiveness of these therapies; here, the manuscript focuses on pathophysiology-driven suggestions for a multimodal pain management in clinical practice.

Indexed as

AnalgesicsAntiparkinson AgentsHumansPainPain ManagementPain MeasurementParkinson DiseaseQuality of LifeAnalgesicsAntiparkinson Agentsanalgeticsnon-motor symptomspainParkinson’s diseasepathophysiologytherapy

Identifiers

PMID32568113
PMCPMC7592654
OpenAlexW3036580896

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.