Evidence map›Paper›PMID 33646177›Full record

ReviewJournal of Parkinson's disease2021

Digital Therapeutics in Parkinson's Disease: Practical Applications and Future Potential.

Terry D Ellis, Gammon M Earhart

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Journal of Parkinson's disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 3 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

42 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

2 authors.

Terry D EllisDepartment of Physical Therapy & Athletic Training, Center for Neurorehabilitation, College of Health and Rehabilitation Sciences: Sargent College, Boston University, Boston, MA, USA.
Gammon M EarhartProgram in Physical Therapy, Department of Neurology, Department of Neuroscience, Washington University in St. Louis School of Medicine, St. Louis, MO, USA.

Funding

Walking and mHealth to Increase Participation in Parkinson Disease (WHIP-PD)R01HD092444 · NICHD · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI EARHART, GAMMON M., ELLIS, THERESA · 2018 to 2022
$3.2M
NICHD NIH HHS R01 HD092444
6 · The paper itself

Abstract

Digital therapeutics, treatments delivered remotely and enabled by modern technology, facilitate the provision of personalized, evidence-based, interdisciplinary interventions to manage the complexities associated with Parkinson's disease. In the context of the COVID-19 pandemic, the need for digital therapeutics has arguably never been greater. However, despite new advances in technology and a heightened interest due to the pandemic, digital therapeutics remain underdeveloped and underutilized. In this paper, we briefly review practical applications and emerging advances in digital therapeutic platforms that target motor and non-motor signs and healthy lifestyle behaviors such as regular exercise, a healthful diet and optimal sleep hygiene habits. Future applications which could transform personalized self-management and patient care are presented. Opportunities, drawbacks and barriers to access are discussed.

Indexed as

Artificial IntelligenceHealth BehaviorHumansMobile ApplicationsParkinson DiseaseRemote ConsultationSmartphoneTelemedicinedigital therapeuticsmobile healthParkinson’s diseasevirtual coach

Identifiers

PMID33646177
PMCPMC8292155

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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 OpenQuestion graph.