ArticleJournal of medical Internet research2021
A Road Map for Remote Digital Health Technology for Motor Neuron Disease.
Article in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 3 of them syntheses that pooled 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.
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.
Who cites it
19 citing papers in PubMed, 3 syntheses or guidelines pooled it, 36 citations in OpenAlex.
- Integrating Assistive Technologies and Smart Home Systems in Neuromuscular Disorders: A Systematic Narrative Review of Clinical Outcomes and Occupational Therapy Perspectives.Occupational therapy international · 2026Pooled it
- The Use of Digital Devices to Monitor Physical Behavior in Motor Neuron Disease: Systematic Review.Journal of medical Internet research · 2025Pooled it
- A systematic review of digital technology to evaluate motor function and disease progression in motor neuron disease.Journal of neurology · 2022Pooled it
- Comparison of Consumer Smartwatch and Research-Grade Accelerometer-Derived Step Counts in Amyotrophic Lateral Sclerosis.Muscle & nerve · 2026Observational
- Digital Remote Assessment of Motor and Speech Changes in Amyotrophic Lateral Sclerosis: Longitudinal Observational Study.JMIR formative research · 2026Observational
- Agreement Between the Harmonized and the Self-Explanatory Versions of the Revised ALS Functional Rating Scale in a Clinical Setting.Muscle & nerve · 2026Article
- Article
- Remote Monitoring of Amyotrophic Lateral Sclerosis Using Digital Health Technologies: Shifting Toward Digitalized Care and Research?Neurology · 2025Review
- Development and Evaluation of the Telehealth in Motor Neuron Disease System: The TIME Study Protocol.JMIR research protocols · 2024Article
- The use of digital tools in rare neurological diseases towards a new care model: a narrative review.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024Review
- Patient perspectives on the use of digital medical devices and health data for AI-driven personalised medicine in Parkinson's Disease.Frontiers in neurology · 2024Article
- Effects of the COVID-19 Pandemic on SMA Screening and Care: Physician and Community Insights.Neurology and therapy · 2023Article
- Mapping Factors That Affect the Uptake of Digital Therapeutics Within Health Systems: Scoping Review.Journal of medical Internet research · 2023Article
- Use of hip- versus wrist-based actigraphy for assessing functional decline and disease progression in patients with motor neuron disease.Journal of neurology · 2023Article
- Digital endpoints in clinical trials of Alzheimer's disease and other neurodegenerative diseases: challenges and opportunities.Frontiers in neurology · 2023Review
- ALSFRS-R-SE: an adapted, annotated, and self-explanatory version of the revised amyotrophic lateral sclerosis functional rating scale.Neurological research and practice · 2022Article
- Measurement of upper limb function in ALS: a structured review of current methods and future directions.Journal of neurology · 2022Review
- Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
19 authors at 11 institutions in 7 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite recent and potent technological advances, the real-world implementation of remote digital health technology in the care and monitoring of patients with motor neuron disease has not yet been realized. Digital health technology may increase the accessibility to and personalization of care, whereas remote biosensors could optimize the collection of vital clinical parameters, irrespective of patients' ability to visit the clinic. To facilitate the wide-scale adoption of digital health care technology and to align current initiatives, we outline a road map that will identify clinically relevant digital parameters; mediate the development of benefit-to-burden criteria for innovative technology; and direct the validation, harmonization, and adoption of digital health care technology in real-world settings. We define two key end products of the road map: (1) a set of reliable digital parameters to capture data collected under free-living conditions that reflect patient-centric measures and facilitate clinical decision making and (2) an integrated, open-source system that provides personalized feedback to patients, health care providers, clinical researchers, and caregivers and is linked to a flexible and adaptable platform that integrates patient data in real time. Given the ever-changing care needs of patients and the relentless progression rate of motor neuron disease, the adoption of digital health care technology will significantly benefit the delivery of care and accelerate the development of effective treatments.
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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 Socratic graph.