Evidence map›Paper›PMID 38713508›Full record

ArticleJMIR research protocols2024

Measuring Physical Functioning Using Wearable Sensors in Parkinson Disease and Chronic Obstructive Pulmonary Disease (the Accuracy of Digital Assessment of Performance Trial Study): Protocol for a Prospective Observational Study.

Debbie de Graaf, Nienke M de Vries, Tessa van de Zande, Janneke J P Schimmel, Sooyoon Shin, Nathan Kowahl, Poulami Barman, Ritu Kapur, William J Marks, Alex van 't Hul and 1 more

Erratum issued Registry-linked trialAbstract readClinical Trial Protocol
In one paragraph

Article in JMIR research protocols, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT05756075 (The Accuracy of Digital Assessment of Performance Trial), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

NCT05756075 completednot on this map

The Accuracy of Digital Assessment of Performance Trial (ADAPT): Walk Test Study

TypeobservationalSponsorRadboud University Medical CenterRan2021 to 2023Enrolled154ConditionsParkinson Disease, COPDArmsAerobic exercise training
3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Debbie de GraafRadboud University Medical Center, Donders Institute for Brain, Cognition and Behavior, Department of Neurology, Center of Expertise for Parkinson & Movement Disorders, Nijmegen, Netherlands.ORCID 0009-0002-9508-2004
Nienke M de VriesRadboud University Medical Center, Donders Institute for Brain, Cognition and Behavior, Department of Neurology, Center of Expertise for Parkinson & Movement Disorders, Nijmegen, Netherlands.ORCID 0000-0002-1972-2703
Tessa van de ZandeRadboud University Medical Center, Donders Institute for Brain, Cognition and Behavior, Department of Neurology, Center of Expertise for Parkinson & Movement Disorders, Nijmegen, Netherlands.ORCID 0009-0007-8870-000X
Janneke J P SchimmelRadboud University Medical Center, Donders Institute for Brain, Cognition and Behavior, Department of Neurology, Center of Expertise for Parkinson & Movement Disorders, Nijmegen, Netherlands.ORCID 0009-0008-1705-0545
Sooyoon ShinVerily Life Sciences, South San Fransisco, CA, United States.ORCID 0000-0002-0339-4856
Nathan KowahlVerily Life Sciences, South San Fransisco, CA, United States.ORCID 0000-0002-7049-4793
Poulami BarmanVerily Life Sciences, South San Fransisco, CA, United States.ORCID 0000-0002-4604-9868
Ritu KapurRadboud University Medical Center, Donders Institute for Brain, Cognition and Behavior, Department of Neurology, Center of Expertise for Parkinson & Movement Disorders, Nijmegen, Netherlands.ORCID 0000-0003-3488-9963
William J MarksVerily Life Sciences, South San Fransisco, CA, United States.ORCID 0000-0003-3692-2480
Alex van 't HulRadboud University Medical Center, Radboud Institute for Health Sciences, Department of Respiratory Diseases, Nijmegen, Netherlands.ORCID 0000-0002-5514-2327
Bastiaan R BloemRadboud University Medical Center, Donders Institute for Brain, Cognition and Behavior, Department of Neurology, Center of Expertise for Parkinson & Movement Disorders, Nijmegen, Netherlands.ORCID 0000-0002-6371-3337

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPhysical capacity and physical activity are important aspects of physical functioning and quality of life in people with a chronic disease such as Parkinson disease (PD) or chronic obstructive pulmonary disease (COPD). Both physical capacity and physical activity are currently measured in the clinic using standardized questionnaires and tests, such as the 6-minute walk test (6MWT) and the Timed Up and Go test (TUG). However, relying only on in-clinic tests is suboptimal since they offer limited information on how a person functions in daily life and how functioning fluctuates throughout the day. Wearable sensor technology may offer a solution that enables us to better understand true physical functioning in daily life.

objectiveWe aim to study whether device-assisted versions of 6MWT and TUG, such that the tests can be performed independently at home using a smartwatch, is a valid and reliable way to measure the performance compared to a supervised, in-clinic test.

methodsThis is a decentralized, prospective, observational study including 100 people with PD and 100 with COPD. The inclusion criteria are broad: age ≥18 years, able to walk independently, and no co-occurrence of PD and COPD. Participants are followed for 15 weeks with 4 in-clinic visits, once every 5 weeks. Outcomes include several walking tests, cognitive tests, and disease-specific questionnaires accompanied by data collection using wearable devices (the Verily Study Watch and Modus StepWatch). Additionally, during the last 10 weeks of this study, participants will follow an aerobic exercise training program aiming to increase physical capacity, creating the opportunity to study the responsiveness of the remote 6MWT.

resultsIn total, 89 people with PD and 65 people with COPD were included in this study. Data analysis will start in April 2024.

conclusionsThe results of this study will provide information on the measurement properties of the device-assisted 6MWT and TUG in the clinic and at home. When reliable and valid, this can contribute to a better understanding of a person's physical capacity in real life, which makes it possible to personalize treatment options.

trial registrationClinicalTrials.gov NCT05756075; https://clinicaltrials.gov/study/NCT05756075. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/55452.

Indexed as

Parkinson DiseasePulmonary Disease, Chronic ObstructiveWearable Electronic DevicesAgedFemaleHumansMaleMiddle AgedObservational Studies as TopicPhysical Functional PerformanceProspective StudiesQuality of LifeWalk Testchronic obstructive pulmonary diseaseCOPDdementiaexercisehome-basedlocomotionParkinson diseasephysical activityphysical capacitysmartwatchStepWatchtreatmentwalkingwearablewearable deviceswearableswearable sensor

Identifiers

PMID38713508
PMCPMC11109858

What Socratic holds

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LicenceCC BY
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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 Socratic graph.