Evidence map›Paper›PMID 35224425›Full record

ArticleDigital biomarkers2022

A Smartphone Application as an Exploratory Endpoint in a Phase 3 Parkinson's Disease Clinical Trial: A Pilot Study.

Alex Page, Norman Yung, Peggy Auinger, Charles Venuto, Alistair Glidden, Eric Macklin, Larsson Omberg, Michael A Schwarzschild, E Ray Dorsey

Abstract read
In one paragraph

Article in Digital biomarkers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Digital Outcomes as Biomarkers of Disease Progression in Early Parkinson's Disease: A Systematic Review.Movement disorders : official journal of the Movement Disorder Society · 2025
    Pooled it
  2. Article
  3. A comprehensive guide to digital neurology. An update on current development on digital neurology derived from the Digital Neuro Hub project.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
    Review
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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.

Alex PageCenter for Health + Technology, University of Rochester Medical Center, Rochester, New York, USA.
Norman YungCenter for Health + Technology, University of Rochester Medical Center, Rochester, New York, USA.
Peggy AuingerCenter for Health + Technology, University of Rochester Medical Center, Rochester, New York, USA.
Charles VenutoCenter for Health + Technology, University of Rochester Medical Center, Rochester, New York, USA.
Alistair GliddenCenter for Health + Technology, University of Rochester Medical Center, Rochester, New York, USA.
Eric MacklinDepartment of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.
Larsson OmbergSage Bionetworks, Seattle, Washington, USA.
Michael A SchwarzschildDepartment of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA.
E Ray DorseyCenter for Health + Technology, University of Rochester Medical Center, Rochester, New York, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSmartphones can generate objective measures of Parkinson's disease (PD) and supplement traditional in-person rating scales. However, smartphone use in clinical trials has been limited.

objectiveThis study aimed to determine the feasibility of introducing a smartphone research application into a PD clinical trial and to evaluate the resulting measures.

methodsA smartphone application was introduced part-way into a phase 3 randomized clinical trial of inosine. The application included finger tapping, gait, and cognition tests, and participants were asked to complete an assessment battery at home and in clinic alongside the Movement Disorder Society-Unified Parkinson's Disease Rating Scale (MDS-UPDRS).

resultsOf 236 eligible participants in the parent study, 88 (37%) consented to participate, and 59 (27 randomized to inosine and 32 to placebo) completed a baseline smartphone assessment. These 59 participants collectively completed 1,292 batteries of assessments. The proportion of participants who completed at least one smartphone assessment was 61% at 3, 54% at 6, and 35% at 12 months. Finger tapping speed correlated weakly with the part III motor portion (

conclusionsIntroducing a smartphone application midway into a phase 3 clinical trial was challenging. Measures of bradykinesia and gait speed correlated modestly with traditional outcomes and were consistent with the study's overall findings, which found no benefit of the active drug.

Indexed as

Clinical trialCognitionGaitInosineMovementParkinson diseaseSmartphoneTelemedicine

Identifiers

PMID35224425
PMCPMC8832247

What Socratic holds

Textmetadata
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.