Evidence map›Paper›PMID 31283854›Full record

ArticleMovement disorders : official journal of the Movement Disorder Society2019

Predictors of motor complications in early Parkinson's disease: A prospective cohort study.

Mark J Kelly, Michael A Lawton, Fahd Baig, Claudio Ruffmann, Thomas R Barber, Christine Lo, Johannes C Klein, Yoav Ben-Shlomo, Michele T Hu

Open access · hybridAbstract read
In one paragraph

Article in Movement disorders : official journal of the Movement Disorder Society, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 1 pooled it
6.6field-weighted citation impact, top 3% 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

41 citing papers in PubMed, 1 synthesis or guideline pooled it, 73 citations in OpenAlex.

  1. Pooled it
  2. A Randomized, Double-Blind, Controlled Phase II Study of Foliglurax in Parkinson's Disease.Movement disorders : official journal of the Movement Disorder Society · 2022
    Trial
  3. Article
  4. Review
  5. Article
  6. Observational
  7. Article
  8. Article
  9. Interpretable Machine Learning for Cross-Cohort Prediction of Motor Fluctuations in Parkinson's Disease.Movement disorders : official journal of the Movement Disorder Society · 2025
    Article
  10. Article
  11. Baseline [NPJ Parkinson's disease · 2025
    Article
  12. Article
  13. Article
  14. Neuroanatomical and prognostic associations of depression in Parkinson's disease.Journal of neurology, neurosurgery, and psychiatry · 2024
    Article
  15. Article
  16. Article
  17. Article
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  19. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

Mark J KellyOxford Parkinson's Disease Centre, University of Oxford, Oxford, UK.
Michael A LawtonPopulation Health Sciences, University of Bristol, Bristol, UK.
Fahd BaigOxford Parkinson's Disease Centre, University of Oxford, Oxford, UK.
Claudio RuffmannOxford Parkinson's Disease Centre, University of Oxford, Oxford, UK.
Thomas R BarberOxford Parkinson's Disease Centre, University of Oxford, Oxford, UK.
Christine LoOxford Parkinson's Disease Centre, University of Oxford, Oxford, UK.ORCID 0000-0002-5671-3881
Johannes C KleinOxford Parkinson's Disease Centre, University of Oxford, Oxford, UK.
Yoav Ben-ShlomoPopulation Health Sciences, University of Bristol, Bristol, UK.
Michele T HuOxford Parkinson's Disease Centre, University of Oxford, Oxford, UK.
University of Oxford · GBUniversity of Bristol · GBNational Health Service · GB

Funding

Parkinson's UK J-0901
6 · The paper itself

Abstract

objectiveThe objective of this study was to identify clinical predictors of motor complications (dyskinesia and motor fluctuations) of levodopa in a prospectively recruited PD cohort using longitudinal analysis.

methodsAn inception cohort (Oxford Discovery) of 734 patients was followed to a maximum of 10 years from diagnosis using a discrete-time survival analysis. A subset analysis was used to validate an online dyskinesia-risk calculator developed from the results of the Stalevo Reduction in Dyskinesia Evaluation PD trial.

resultsA total of 186 cases of dyskinesia and 254 cases of motor fluctuations were observed. Dyskinesia incidence increased with time (risk per 100 participants [95% confidence interval] 13 [11-16] <3.5 years, 16 [13-21] 3.5-5.0 years, 19 [14-26] 5-6.5 years, and 23 [16-33] >6.5 years from diagnosis). Motor complication predictors were grouped as medication predictors, disease predictors and patient predictors. Baseline nonmotor feature severity, low mood, anxiety, and age at symptom onset were associated with motor complications among a number of previously identified predictors. Replication of the Stalevo Reduction in Dyskinesia Evaluation PD calculator was reasonable with the area under the curve for dyskinesia risk score as a predictor of dyskinesia being 0.68 (95% confidence interval, 0.55-0.81).

conclusionsThis study quantifies risk of motor complications, finds consistent predictors, and demonstrates the novel finding that nonmotor features of PD, particularly low mood and anxiety, are significant risk factors for motor complications. Further validation of dyskinesia risk scores are required as well as evidence to determine if the routine use of such scores can be clinically valuable in enhancing patient care and quality of life. © 2019 The Authors. Movement Disorders published by Wiley Periodicals, Inc. on behalf of International Parkinson and Movement Disorder Society.

Indexed as

AdultAgedAged, 80 and overAge of OnsetAntiparkinson AgentsAnxietyCohort StudiesDepressionDrug-Related Side Effects and Adverse ReactionsDyskinesia, Drug-InducedFemaleHumansLevodopaMaleMiddle AgedParkinson DiseaseAntiparkinson AgentsLevodopadyskinesialevodopamotor complicationsmotor fluctuationsParkinson's disease

Identifiers

PMID31283854
PMCPMC6771533
OpenAlexW2958075903

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.