Evidence map›Paper›PMID 32417795›Full record

ArticleJournal of Parkinson's disease2020

Digital Biomarkers of Mobility in Parkinson's Disease During Daily Living.

Vrutangkumar V Shah, James McNames, Martina Mancini, Patricia Carlson-Kuhta, John G Nutt, Mahmoud El-Gohary, Jodi A Lapidus, Fay B Horak, Carolin Curtze

Registry-linked trialOpen access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of Parkinson's disease, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05680597 (Balance Tele-rehabilitation With Wearable Technology for Older Adults With Parkinson's Disease), which is not on this map. Cited by 53 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 2 pooled it
15.6field-weighted citation impact, top 1% 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.

NCT05680597 narecruitingnot on this mapstarted 2022, after this paper: background citation

Balance Tele-rehabilitation With Wearable Technology for Older Adults With Parkinson's Disease

TypeinterventionalSponsorOregon Health and Science UniversityRan2022 to 2027Enrolled80ConditionsParkinson DiseaseArmsBalance Tele-Rehabilitation Agility Boot Camp (ABC)
3 · Its place in the literature

Who cites it

53 citing papers in PubMed, 2 syntheses or guidelines pooled it, 88 citations in OpenAlex.

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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

9 authors at 3 institutions in 1 country.

Vrutangkumar V ShahDepartment of Neurology, Oregon Health & Science University, Portland, OR, USA.
James McNamesDepartment of Electrical and Computer Engineering, Portland State University, Portland, OR, USA.
Martina ManciniDepartment of Neurology, Oregon Health & Science University, Portland, OR, USA.
Patricia Carlson-KuhtaDepartment of Neurology, Oregon Health & Science University, Portland, OR, USA.
John G NuttDepartment of Neurology, Oregon Health & Science University, Portland, OR, USA.
Mahmoud El-GoharyAPDM, Inc., Portland, OR, USA.
Jodi A LapidusSchool of Public Health, Oregon Health & Science University-Portland State University, Portland, OR, USA.
Fay B HorakDepartment of Neurology, Oregon Health & Science University, Portland, OR, USA.
Carolin CurtzeDepartment of Neurology, Oregon Health & Science University, Portland, OR, USA.
Oregon Health & Science University · USPortland State University · USUniversity of Nebraska at Omaha · US

Funding

Mobility Life: Monitoring Mobility in Daily Lives of People with Neurological DiseaseR44AG055388 · NIA · APDM, INC. · PI EL-GOHARY, MAHMOUD, HORAK, FAY BAHLING · 2016 to 2019
$2.9M
HOME: Monitoring Balance and Gait with the Home Objective Mobility ExamR44AG044863 · NIA · APDM, INC. · PI EL-GOHARY, MAHMOUD, HORAK, FAY BAHLING · 2017 to 2018
$1.7M
Monitoring Balance and Gait Disorders in Parkinson???s Disease with the Home ObjeR43AG044863 · NIA · APDM, INC. · PI EL-GOHARY, MAHMOUD, HORAK, FAY BAHLING · 2013 to 2014
$699k
NIA NIH HHS R43 AG044863NIA NIH HHS R44 AG044863NIA NIH HHS R44 AG055388
6 · The paper itself

Abstract

backgroundIdentifying digital biomarkers of mobility is important for clinical trials in Parkinson's disease (PD).

objectiveTo determine which digital outcome measures of mobility discriminate mobility in people with PD from healthy control (HC) subjects over a week of continuous monitoring.

methodsWe recruited 29 people with PD, and 27 age-matched HC subjects. Subjects were asked to wear three inertial sensors (Opal by APDM) attached to both feet and to the lumbar region, and a subset of subjects also wore two wrist sensors, for a week of continuous monitoring. We derived 43 digital outcome measures of mobility grouped into five domains. An Area Under Curve (AUC) was calculated for each digital outcome measures of mobility, and logistic regression employing a 'best subsets selection strategy' was used to find combinations of measures that discriminated mobility in PD from HC.

resultsDuration of recordings was 66±14 hours in the PD and 59±16 hours in the HC. Out of a total of 43 digital outcome measures of mobility, we found six digital outcome measures of mobility with AUC > 0.80. Turn angle (AUC = 0.89, 95% CI: 0.79-0.97) and swing time variability (AUC = 0.87, 95% CI: 0.75-0.96) were the most discriminative individual measures. Turning measures were most consistently selected via the best subsets strategy to discriminate people with PD from HC, followed by gait variability measures.

conclusionClinical studies and clinical practice with digital biomarkers of daily life mobility in PD should include turning and variability measures.

Indexed as

Activities of Daily LivingBiomarkersMonitoring, AmbulatoryMotor ActivityOutcome Assessment, Health CareAgedDigital TechnologyFemaleGait Disorders, NeurologicHumansMaleMiddle AgedMobility LimitationParkinson DiseaseWearable Electronic DevicesBiomarkersbiomarkerscontinuous monitoringdigital outcome measures of mobilityinertial sensorsParkinson’s disease

Identifiers

PMID32417795
PMCPMC8128134
OpenAlexW3025901313

What OpenQuestion holds

Textmetadata
LicenceTDM
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.