Evidence map›Paper›PMID 34224103›Full record

ReviewDrugs & aging2021

Diagnosis and Management of Pain in Parkinson's Disease: A New Approach.

Veit Mylius, Jens Carsten Möller, Stephan Bohlhalter, Daniel Ciampi de Andrade, Santiago Perez Lloret

Abstract readReview
PubMed Publisher
In one paragraph

Review in Drugs & aging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
–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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Guideline
  2. Pooled it
  3. Trial
  4. Review
  5. Article
  6. Article
  7. Review
  8. Incidence of Opioid Use Before and After Parkinson's Disease Diagnosis.European journal of pain (London, England) · 2025
    Article
  9. Review
  10. Review
  11. Article
  12. Review
  13. What Do We Know about Nociplastic Pain?Healthcare (Basel, Switzerland) · 2023
    Review
  14. Article
  15. Article
  16. 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.

Veit MyliusDepartment of Neurology, Center for Neurorehabilitation, 7317, Valens, Switzerland. mylius@med.uni-marburg.de.
Jens Carsten MöllerDepartment of Neurology, Philipps University, Marburg, Germany.
Stephan BohlhalterNeurocenter, Luzerner Kantonsspital, Lucerne, Switzerland.
Daniel Ciampi de AndradeCentro de Dor, Departamento de Neurologia da Faculdade de Medicina da, Universidade de Sao Paulo, Sao Paulo, Brazil.
Santiago Perez LloretLIM 62, Biomedical Research Center (CAECIHS-UAI), National Research Council (CONICET), Buenos Aires, Argentina.ORCID 0000-0001-9069-6512

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pain is a frequent and disabling non-motor feature of Parkinson's disease (PD). The recently proposed PD Pain Classification System (PD-PCS) allows for an association of pain with PD to be determined before being allocated to the main pain mechanism (i.e. nociceptive, neuropathic, and nociplastic). In this article, previous studies on treatments for pain in PD are summarized according to the pain mechanisms. A mechanistic approach to treatment is discussed. We suggest that the first step should be optimizing dopaminergic therapy before other therapy is started. When these treatments remain unsuccessful, further causes of pain must be considered. The role of drugs, invasive treatments, and physiotherapeutic interventions are discussed with a focus on older PD patients and considering polypharmacy, altered pharmacokinetics, and comorbidities.

Indexed as

Parkinson DiseaseHumansPainPain MeasurementPolypharmacy

Identifiers

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.