Evidence map›Paper›PMID 20563826›Full record

ReviewJournal of neural transmission (Vienna, Austria : 1996)2010

The wearing-off phenomenon and the use of questionnaires to facilitate its recognition in Parkinson's disease.

Mark Stacy

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of neural transmission (Vienna, Austria : 1996), 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Sublingual apomorphine in the treatment of Parkinson's disease.Journal of neural transmission (Vienna, Austria : 1996) · 2024
    Review
  10. Article
  11. Real-World Experiences of Parkinson's Disease OFF Time and Role of Demographics.Journal of patient-centered research and reviews · 2024
    Article
  12. Review
  13. Review
  14. Article
  15. Observational
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

1 author.

Mark StacyDivision of Neurology, Duke University Medical School, 932 Morreene Road, MS 3333, Durham, NC 27705, USA. mark.stacy@duke.edu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long-term treatment of Parkinson's disease (PD) with dopaminergic therapy is associated with a re-emergence of PD symptoms, referred to as wearing-off. Signs of wearing-off encompass motor symptoms, such as slowness of movement and stiffness, and non-motor symptoms, including anxiety and fatigue. Both motor and non-motor symptoms impact significantly on the function and quality of life of PD patients. Early detection and management of wearing-off has been shown to improve patient symptoms; however, identification of wearing-off, particularly the non-motor symptoms, is hampered by a lack of patient education, awareness, patient-physician communication, and limited time for evaluation. Several questionnaires have been developed to aid the detection of wearing-off. This review investigates the development and use of the Wearing-Off Questionnaires (WOQ-32, WOQ-19, and WOQ-9), as well as their sensitivity and specificity in identifying wearing-off. The manuscript also provides an overview of the motor and non-motor signs of wearing-off and highlights the available treatment strategies for managing this potentially debilitating phenomenon.

Indexed as

Drug ToleranceSurveys and QuestionnairesAntiparkinson AgentsDopamine AgentsHumansParkinson DiseaseAntiparkinson AgentsDopamine Agents

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.