Evidence map›Paper›PMID 26962853›Full record

Trial reportPloS one2016

Unraveling the Relationship between Motor Symptoms, Affective States and Contextual Factors in Parkinson's Disease: A Feasibility Study of the Experience Sampling Method.

Martijn P G Broen, Vera A M Marsman, Mark L Kuijf, Robert J Van Oostenbrugge, Jim van Os, Albert F G Leentjens

Registry-linked trialOpen access · goldAbstract readClinical Trial
In one paragraph

Trial report in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03435991 ('The Experience Sampling Method), which is not on this map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
4.8field-weighted citation impact, top 6% 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.

NCT03435991 unknown statusnot on this mapstarted 2018, after this paper: background citation

'The Experience Sampling Method (ESM): a Real-time Patient-Reported Outcome Measure for Symptom Assessment in Patients With Overactive Bladder Syndrome.'

TypeobservationalSponsorMaastricht University Medical CenterRan2018 to 2021Enrolled132ConditionsOveractive Bladder, Overactive Bladder SyndromeArmsValidation Experience Sampling Method 'Uromate'
3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 30 citations in OpenAlex.

  1. A smartphone sensor-based digital outcome assessment of multiple sclerosis.Multiple sclerosis (Houndmills, Basingstoke, England) · 2022
    Trial
  2. Review
  3. Perspective: Depression in Persons with Parkinson's Disease.Movement disorders : official journal of the Movement Disorder Society · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Stress Detection Using Experience Sampling: A Systematic Mapping Study.International journal of environmental research and public health · 2022
    Article
  8. Article
  9. Usability of the Experience Sampling Method in Parkinson's Disease on a Group and Individual Level.Movement disorders : official journal of the Movement Disorder Society · 2020
    Article
  10. Observational
  11. Article
  12. An update on adaptive deep brain stimulation in Parkinson's disease.Movement disorders : official journal of the Movement Disorder Society · 2018
    Review
  13. Article
  14. Clinical Markers of Anxiety Subtypes in Parkinson Disease.Journal of geriatric psychiatry and neurology · 2018
    Article
  15. 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

6 authors at 2 institutions in 2 countries.

Martijn P G BroenDepartment of Neurology, Maastricht University Medical Center, Maastricht, the Netherlands.
Vera A M MarsmanDepartment of Psychiatry and Psychology, Maastricht University Medical Center, Maastricht, the Netherlands.
Mark L KuijfDepartment of Neurology, Maastricht University Medical Center, Maastricht, the Netherlands.
Robert J Van OostenbruggeDepartment of Neurology, Maastricht University Medical Center, Maastricht, the Netherlands.
Jim van OsDepartment of Psychiatry and Psychology, Maastricht University Medical Center, Maastricht, the Netherlands.
Albert F G LeentjensDepartment of Psychiatry and Psychology, Maastricht University Medical Center, Maastricht, the Netherlands.
Maastricht University · NLKing's College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn Parkinson's disease (PD), the complex relationship between motor symptoms, affective states, and contextual factors remains to be elucidated. The Experience Sampling Method provides (ESM) a novel approach to this issue. Using a mobile device with a special purpose application (app), motor symptoms, affective states and contextual factors are assessed repeatedly at random moments in the flow of daily life, yielding an intensive time series of symptoms and experience. The aim of this study was to study the feasibility of this method.

methodWe studied the feasibility of a five-day period of ESM in PD and its ability to objectify diurnal fluctuations in motor symptom severity and their relation with affect and contextual factors in five PD patients with motor fluctuations.

resultsParticipants achieved a high compliance, with 84% of assessment moments completed without disturbance of daily activities. The utility of the device was rated 8 on a 10-point scale. We were able to capture extensive diurnal fluctuations that were not revealed by routine clinical assessment. In addition, we were able to detect clinically relevant associations between motor symptoms, emotional fluctuations and contextual factors at an intra-individual level.

conclusionsESM represents a viable and novel approach to elucidate relationships between motor symptoms, affective states and contextual factors at the level of individual subjects. ESM holds promise for clinical practice and scientific research.

Indexed as

Activities of Daily LivingEmotionsAgedFemaleHumansMaleMiddle AgedParkinson Disease

Identifiers

PMID26962853
PMCPMC4786263
OpenAlexW2296420409

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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.