Evidence map›Paper›PMID 29623949›Full record

ReviewNature reviews. Neurology2018

Teleneurology and mobile technologies: the future of neurological care.

E Ray Dorsey, Alistair M Glidden, Melissa R Holloway, Gretchen L Birbeck, Lee H Schwamm

2 registry-linked trialsAbstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Neurology, 2018. 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 124 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
124citing papers in PubMed, 2 pooled it
28.0field-weighted citation impact, top 1% of its field
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.

NCT05348109 unknown statusnot on this mapstarted 2022, after this paper: background citation

Assessment of Decision Support System Software in Extraction and Anchorage Planning Among Adult Patients Using Computer Algorithm

Typeobservational_patient_registrySponsorCairo UniversityRan2022 to 2023Enrolled80ConditionsCases That Need Extraction of Teeth in Orthodontics, Anchorage PlanningArmsWell finished cases
NCT07705620 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

A Behavioral Digital Intervention For Parkinson's Disease: Protocol For A Quasi-Experimental Study Examining Feasibility, Physical Activity, And Exploratory Patient-Reported Outcomes

TypeinterventionalSponsorEgas Moniz - Cooperativa de Ensino Superior, CRLRan2026 to 2027Enrolled68ConditionsParkinson Disease, Exercise TrainingArmsDigital Exercise Program
3 · Its place in the literature

Who cites it

124 citing papers in PubMed, 2 syntheses or guidelines pooled it, 252 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Innovating Parkinson's Care: A Randomized Controlled Trial of Telemedicine Depression Treatment.Movement disorders : official journal of the Movement Disorder Society · 2021
    Trial
  4. Trial
  5. Article
  6. Telemedicine documentation in neurology and telestroke: a global scoping review.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Article
  7. Observational
  8. Article
  9. Artificial intelligence in ophthalmology clinical trials: a narrative review.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2026
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

E Ray DorseyCenter for Health + Technology, University of Rochester Medical Center, Rochester, NY, USA.
Alistair M GliddenCenter for Health + Technology, University of Rochester Medical Center, Rochester, NY, USA.
Melissa R HollowayCenter for Health + Technology, University of Rochester Medical Center, Rochester, NY, USA.
Gretchen L BirbeckCenter for Health + Technology, University of Rochester Medical Center, Rochester, NY, USA.
Lee H SchwammDepartment of Neurology, Massachusetts General Hospital, Boston, MA, USA.
University of Rochester Medical Center · USMassachusetts General Hospital · US

Funding

Clinical Coordinating Center Network of Excellence in Neuroscience Clinical TrialU01NS077179 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI Merit E CUDKOWICZ, Aleksandar Videnovic · 2011 to 2026
$43.4M
Cohort of HIV-Associated Seizures and Epilepsy in Zambia (CHASE): Scale up and expansion informed by R21 FindingsR01NS094037 · NINDS · UNIVERSITY OF ROCHESTER · PI BIRBECK, GRETCHEN L., SIKAZWE, IZUKANJI · 2015 to 2019
$3.0M
New England Regional Coordinating Center for the NINDS Stroke Trials NetworkU10NS086729 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI SCHWAMM, LEE H · 2013 to 2017
$2.3M
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
NINDS NIH HHS P20 NS092529NINDS NIH HHS R01 NS094037NINDS NIH HHS U01 NS077179NINDS NIH HHS U10 NS086729
6 · The paper itself

Abstract

Neurological disorders are the leading cause of global disability. However, for most people around the world, current neurological care is poor. In low-income countries, most individuals lack access to proper neurological care, and in high-income countries, distance and disability limit access. With the global proliferation of smartphones, teleneurology - the use of technology to provide neurological care and education remotely - has the potential to improve and increase access to care for billions of people. Telestroke has already fulfilled this promise, but teleneurology applications for chronic conditions are still in their infancy. Similarly, few studies have explored the capabilities of mobile technologies such as smartphones and wearable sensors, which can guide care by providing objective, frequent, real-world assessments of patients. In low-income settings, teleneurology can increase the capacity of local care systems through professional development, diagnostic support and consultative services. In high-income settings, teleneurology is likely to promote the expansion and migration of neurological care away from institutions, incorporate systems of asynchronous communication (such as e-mail), integrate clinicians with diverse skill sets and reach new populations. Inertia, outdated policies and social barriers - especially the digital divide - will slow this progress at considerable cost. However, a future increasingly will be possible in which neurological care can be accessed by anyone, anywhere. Here, we examine the emerging evidence regarding the benefits of teleneurology for chronic conditions, its role and risks in low-income countries and the promise of mobile technologies to measure disease status and deliver care. We conclude by discussing the future trends, barriers and timing for the adoption of teleneurology.

Indexed as

Mobile ApplicationsNervous System DiseasesHumansMonitoring, AmbulatoryNeurologyTelemedicine

Identifiers

PMID29623949
OpenAlexW2795761008

What OpenQuestion holds

Textmetadata
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.