Evidence map›Paper›PMID 42000835›Full record

ArticleNPJ Parkinson's disease2026

Wearable-sensor based walking and non-walking measures as progression markers in early to mid-stage Parkinson's disease.

King Chung Ho, Siying Li, Claudia Serrano-Amenos, Nathan Kowahl, Erin Rainaldi, Chen Chen, Bastiaan R Bloem, Laurie H Sanders, Ludy C Shih, Andrew Siderowf and 4 more

Abstract read
In one paragraph

Article in NPJ Parkinson's disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

King Chung HoVerily Life Sciences, Dallas, TX, USA.
Siying LiVerily Life Sciences, Dallas, TX, USA.
Claudia Serrano-AmenosVerily Life Sciences, Dallas, TX, USA.
Nathan KowahlVerily Life Sciences, Dallas, TX, USA.
Erin RainaldiVerily Life Sciences, Dallas, TX, USA.
Chen ChenVerily Life Sciences, Dallas, TX, USA.
Bastiaan R BloemRadboud University Medical Center, Department of Neurology, Donders Institute for Brain, Cognition and Behavior, Center of Expertise for Parkinson & Movement Disorders, Nijmegen, The Netherlands.
Laurie H SandersDepartments of Neurology and Pathology, Duke University School of Medicine, Durham, NC, USA.
Ludy C ShihBeth Israel Deaconess Medical Center, Department of Neurology, Boston, MA, USA.
Andrew SiderowfDepartment of Neurology, Penn Perelman School of Medicine, Philadelphia, PA, USA.
William J MarksVerily Life Sciences, Dallas, TX, USA.
Ritu KapurVerily Life Sciences, Dallas, TX, USA.
Luc J W EversRadboud University Medical Center, Department of Neurology, Donders Institute for Brain, Cognition and Behavior, Center of Expertise for Parkinson & Movement Disorders, Nijmegen, The Netherlands.
Sooyoon ShinVerily Life Sciences, Dallas, TX, USA. sooyoon@verily.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital measures of walking and sedentariness may objectively quantify Parkinson's disease (PD) progression. We analyzed longitudinal wearable-sensor data to evaluate the sensitivity and specificity of digital walking and non-walking measures in ambulatory people with PD. We selected 26 individual and 6 composite measures with sufficient sensitivity and test-retest reliability in a development dataset (N = 171). Twenty measures showed significant within-participant changes, and 7 showed larger 2-year effect-size than gold-standard clinical measures in people with early-stage PD (N = 101, mean number of years since diagnosis [YSD], 2.2). Significant changes in non-walking and composite measures were detectable as early as 10 months. Twelve measures showed greater change in people with more advanced PD (N = 67; mean YSD 6.5) compared to matched non-PD individuals (N = 171). Sensitivity and specificity results indicate that measures capturing walking and especially non-walking behaviors hold promise as PD progression markers in early to mid-stage PD.

Identifiers

PMID42000835
PMCPMC13276126

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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.