Evidence map›Paper›PMID 27125836›Full record

ReviewMovement disorders : official journal of the Movement Disorder Society2016

Technology in Parkinson's disease: Challenges and opportunities.

Alberto J Espay, Paolo Bonato, Fatta B Nahab, Walter Maetzler, John M Dean, Jochen Klucken, Bjoern M Eskofier, Aristide Merola, Fay Horak, Anthony E Lang and 19 more

2 registry-linked trialsAbstract readReview
In one paragraph

Review in Movement disorders : official journal of the Movement Disorder Society, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 310 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
310citing papers in PubMed, 9 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.

NCT04510922 phase4completednot on this mapstarted 2019, after this paper: background citation

Technology-Based Objective Measures for Gait and Postural Assessment in Parkinson Disease Patients With Orthostatic Hypotension: Feasibility and Effect-Size Finding Study

TypeinterventionalSponsorAlberto Espay, MD, MScRan2019 to 2020Enrolled9ConditionsOrthostatic Hypotension, Idiopathic Parkinson DiseaseArmsDroxidopa 100 MG [Northera]
NCT04753320 not yet recruitingnot on this mapstarted 2026, after this paper: background citation

Remote Monitoring in Progressive Supranuclear Palsy, an Alzheimer's Disease Related Dementia

TypeobservationalSponsorMassachusetts General HospitalRan2026 to 2028Enrolled85ConditionsProgressive Supranuclear Palsy, Parkinson Disease, MSA - Multiple System Atrophy
3 · Its place in the literature

Who cites it

310 citing papers in PubMed, 9 syntheses or guidelines pooled it.

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250 more citing papers are in PubMed but not listed here.

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

29 authors.

Alberto J EspayJames J. and Joan A. Gardner Family Center for Parkinson's disease and Movement Disorders, University of Cincinnati, Cincinnati, Ohio, USA. alberto.espay@uc.edu.
Paolo BonatoDepartment of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, Massachusetts, USA.
Fatta B NahabDepartment of Neurosciences, University of California San Diego, La Jolla, CA, USA.
Walter MaetzlerDepartment of Neurodegeneration, Hertie Institute for Clinical Brain Research (HIH), University of Tuebingen, Tübingen, Germany.
John M DeanDavis Phinney Foundation for Parkinson's, Boulder, Colorado, USA.
Jochen KluckenDepartment of Molecular Neurology, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany.
Bjoern M EskofierDigital Sports Group, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany.
Aristide MerolaDepartment of Neuroscience "Rita Levi Montalcini", Città della salute e della scienza di Torino, Torino, Italy.
Fay HorakDepartment of Neurology, Oregon Health & Science University, Portland VA Medical System, Portland, Oregon.
Anthony E LangMorton and Gloria Movement Disorders Clinic and the Edmond J. Safra Program in Parkinson's Disease, Toronto Western Hospital, Toronto, Canada.
Ralf ReilmannGeorge-Huntington-Institute, Muenster, Germany.
Joe GiuffridaGreat Lakes NeuroTechnologies, Cleveland, Ohio, USA.
Alice NieuwboerNeuromotor Rehabilitation Research Group, Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium.
Malcolm HorneGlobal Kinetics Corporation & Florey Institute for Neuroscience and Mental Health, University of Melbourne, Parkville, Victoria, Australia.
Max A LittleDepartment of Mathematics, Aston University, Birmingham, UK.
Irene LitvanDepartment of Neurosciences, University of California San Diego, La Jolla, CA, USA.
Tanya SimuniDepartment of Neurology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.
E Ray DorseyDepartment of Neurology, University of Rochester Medical Center, Rochester, New York, USA.
Michelle A BurackDepartment of Neurology, University of Rochester Medical Center, Rochester, New York, USA.
Ken KubotaMichael J Fox Foundation for Parkinson's Research, New York City, New York, USA.
Anita KamondiDepartment of Neurology, National Institute of Clinical Neurosciences, Budapest, Hungary.
Catarina GodinhoCenter of Interdisciplinary Research Egas Moniz (CiiEM), Instituto Superior de Ciências da Saúde Egas Moniz, Monte de Caparica, Portugal.
Jean-Francois DaneaultDepartment of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, Massachusetts, USA.
Georgia MitsiApptomics LLC, Wellesley, Massachusetts, USA.
Lothar KrinkeMedtronic Neuromodulation, Minneapolis, Minnesota, USA.
Jeffery M HausdorffSackler School of Medicine, Tel Aviv University and Center for the Study of Movement, Cognition, and Mobility, Neurological Institute, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.
Bastiaan R BloemRadboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Department of Neurology, Nijmegen, the Netherlands.
Spyros PapapetropoulosMassachusetts General Hospital, Boston, Massachusetts, USA.
Movement Disorders Society Task Force on Technology

Funding

VIRUS-INDUCED BRAIN PATHOLOGYP50AG005131 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GALASKO, DOUGLAS R · 1985 to 2018
$55.4M
Miami Clinical and Translational Science InstituteUL1TR000460 · NCATS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI SACCO, RALPH L. · 2012 to 2016
$16.9M
Training - The Frontotemporal Lobar Degeneration Clinical Research ConsortiumU54NS092089 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BOXER, ADAM L. · 2014 to 2018
$6.4M
CTE and Posttraumatic Neurodegeneration: Neuropathology and Ex Vivo ImagingU01NS086659 · NINDS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI MCKEE, ANN C. · 2014 to 2017
$6.1M
PERIPHERAL AND CENTRAL POSTURAL DISORDERS IN THE ELDERLYR01AG006457 · NIA · OREGON HEALTH & SCIENCE UNIVERSITY · PI HORAK, FAY BAHLING · 1986 to 2018
$5.2M
T35 Short Term Research Training GrantT35HL007491 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SAVOIA, MARIA CHRISTINA · 1985 to 2015
$2.8M
Functional Imaging of Tremor Circuits and Mechanisms of Treatment Response.R01NS073683 · NINDS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI NAHAB, FATTA B · 2011 to 2015
$1.5M
Psychogenic Tremor: Functional Magnetic Resonance Study on Emotional ProcessingK23MH092735 · NIMH · UNIVERSITY OF CINCINNATI · PI ESPAY, ALBERTO J · 2011 to 2015
$886k
Developing, evaluating, and disseminating new methods and technologies to advance Parkinson disease researchP20NS092529 · NINDS · UNIVERSITY OF ROCHESTER · PI DORSEY, EARL RAY · 2015 to 2016
$767k
CIHRNCATS NIH HHS UL1 TR000460NHLBI NIH HHS T35 HL007491NIA NIH HHS P50 AG005131NIA NIH HHS R01 AG006457NIMH NIH HHS K23 MH092735NINDS NIH HHS P20 NS092529NINDS NIH HHS R01 NS073683NINDS NIH HHS U01 NS086659NINDS NIH HHS U54 NS092089Parkinson's UK J-0901
6 · The paper itself

Abstract

The miniaturization, sophistication, proliferation, and accessibility of technologies are enabling the capture of more and previously inaccessible phenomena in Parkinson's disease (PD). However, more information has not translated into a greater understanding of disease complexity to satisfy diagnostic and therapeutic needs. Challenges include noncompatible technology platforms, the need for wide-scale and long-term deployment of sensor technology (among vulnerable elderly patients in particular), and the gap between the "big data" acquired with sensitive measurement technologies and their limited clinical application. Major opportunities could be realized if new technologies are developed as part of open-source and/or open-hardware platforms that enable multichannel data capture sensitive to the broad range of motor and nonmotor problems that characterize PD and are adaptable into self-adjusting, individualized treatment delivery systems. The International Parkinson and Movement Disorders Society Task Force on Technology is entrusted to convene engineers, clinicians, researchers, and patients to promote the development of integrated measurement and closed-loop therapeutic systems with high patient adherence that also serve to (1) encourage the adoption of clinico-pathophysiologic phenotyping and early detection of critical disease milestones, (2) enhance the tailoring of symptomatic therapy, (3) improve subgroup targeting of patients for future testing of disease-modifying treatments, and (4) identify objective biomarkers to improve the longitudinal tracking of impairments in clinical care and research. This article summarizes the work carried out by the task force toward identifying challenges and opportunities in the development of technologies with potential for improving the clinical management and the quality of life of individuals with PD. © 2016 International Parkinson and Movement Disorder Society.

Indexed as

Biomedical TechnologyHumansParkinson Diseasedigital biomarkersdigital healtheHealthParkinson's diseaseprecision medicineremote monitoringtechnologywearable technology

Identifiers

PMID27125836
PMCPMC5014594

What OpenQuestion holds

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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.