Evidence map›Paper›PMID 42515380›Full record

ArticleSensors (Basel, Switzerland)2026

A Self-Administered, Digitized Approach to Quantifying the Cardinal Motor Symptoms in Parkinson's Disease.

Mandy Miller Koop, Colin Waltz, Andrew Bazyk, Brittany Lapin, Yadi Li, Stuart Houltham, Dave Blum, James Liao, Oliver Phillips, Junaid Siddiqui and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

12 authors.

Mandy Miller KoopDepartment of Biomedical Engineering, Cleveland Clinic, 9500 Euclid Ave., Cleveland, OH 44195, USA.ORCID 0000-0003-3047-8091
Colin WaltzDepartment of Biomedical Engineering, Cleveland Clinic, 9500 Euclid Ave., Cleveland, OH 44195, USA.ORCID 0009-0000-8598-4341
Andrew BazykNeurological Institute, Cleveland Clinic, 9500 Euclid Ave., Cleveland, OH 44195, USA.ORCID 0009-0007-3021-7605
Brittany LapinNeurological Institute, Cleveland Clinic, 9500 Euclid Ave., Cleveland, OH 44195, USA.
Yadi LiDepartment of Quantitative Health Sciences, Cleveland Clinic, 9500 Euclid Ave., Cleveland, OH 44195, USA.
Stuart HoulthamNeurological Institute, Cleveland Clinic, 9500 Euclid Ave., Cleveland, OH 44195, USA.
Dave BlumCeraxis Health, Inc., 10000 Cedar Avenue, Cleveland, OH 44106, USA.
James LiaoNeurological Institute, Cleveland Clinic, 9500 Euclid Ave., Cleveland, OH 44195, USA.ORCID 0000-0001-6605-9855
Oliver PhillipsNeurological Institute, Cleveland Clinic, 9500 Euclid Ave., Cleveland, OH 44195, USA.
Junaid SiddiquiNeurological Institute, Cleveland Clinic, 9500 Euclid Ave., Cleveland, OH 44195, USA.
Andre G MachadoDepartment of Biomedical Engineering, Cleveland Clinic, 9500 Euclid Ave., Cleveland, OH 44195, USA.
Jay L AlbertsDepartment of Biomedical Engineering, Cleveland Clinic, 9500 Euclid Ave., Cleveland, OH 44195, USA.

Funding

Ceraxis Health, Inc NA
6 · The paper itself

Abstract

Many people with Parkinson's disease (PwPD) lack optimal care due to limited access to neurologists and a reliance on subjective rating scales for treatment decisions. The Ceraxis Insight platform was designed to provide quantitative measures of the cardinal motor symptoms of Parkinson's disease (PD) through self-administered assessments performed using a tablet paired with a sensor-embedded stylus. The aim of this study was to assess the validity of the Ceraxis Insight outcome metrics against clinical gold-standard measures of PD motor symptoms. Nineteen PwPD completed a clinical examination and the nine Ceraxis Insight assessment modules. Quantitative performance metrics were calculated from the platform's IMU, force transducer, and touchscreen inputs. Mixed-effect models and correlation analyses determined that multiple quantitative metrics from the Ceraxis Insight modules significantly predicted (

Indexed as

Parkinson DiseaseDeep Brain StimulationHumansHypokinesiadeep brain stimulationdigital assessmentMDS-UPDRSmotor assessmentParkinson’s diseasevalidation

Identifiers

PMID42515380
PMCPMC13419166

What Socratic 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 Socratic graph.