ReviewMultiple sclerosis international2018
The Role of Wearable Devices in Multiple Sclerosis.
Review in Multiple sclerosis international, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis 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
31 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Usefulness of Mobile Devices in the Diagnosis and Rehabilitation of Patients with Dizziness and Balance Disorders: A State of the Art Review.Clinical interventions in aging · 2020Pooled it
- An Adjustable Smart Ring to Monitor Pulse Rate and Peripheral Blood Oxygen Saturation.Annals of biomedical engineering · 2026Article
- Quantifying observable movement reserve in multiple sclerosis via upper diurnal activity quantiles.Multiple sclerosis (Houndmills, Basingstoke, England) · 2026Article
- Digital biomechanical assessment of gait in patients with peripheral neuropathies.Journal of neuroengineering and rehabilitation · 2025Article
- Validating wearable step counts in multiple sclerosis research: a replication study.Frontiers in neurology · 2025Article
- The Role of Wearable Devices in Chronic Disease Monitoring and Patient Care: A Comprehensive Review.Cureus · 2024Review
- Review
- No Evidence of Disease Activity (NEDA) as a Clinical Assessment Tool for Multiple Sclerosis: Clinician and Patient Perspectives [Narrative Review].Neurology and therapy · 2023Review
- Wearable Sensor Technologies to Assess Motor Functions in People With Multiple Sclerosis: Systematic Scoping Review and Perspective.Journal of medical Internet research · 2023Article
- Multiple Sclerosis: Diagnosis, Management, and Future Opportunities.Journal of clinical medicine · 2023Article
- Management of multiple sclerosis fatigue in the digital age: from assessment to treatment.Frontiers in neuroscience · 2023Review
- Digital Phenotypes of Instability and Fatigue Derived From Daily Standing Transitions in Persons With Multiple Sclerosis.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2023Article
- Article
- Recent advances in the potential applications of luminescence-based, SPR-based, and carbon-based biosensors.Applied microbiology and biotechnology · 2022Review
- Disability assessment using Google Maps.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2022Article
- Longitudinal Trend Monitoring of Multiple Sclerosis Ambulation Using Smartphones.IEEE open journal of engineering in medicine and biology · 2022Article
- Smouldering multiple sclerosis: the 'real MS'.Therapeutic advances in neurological disorders · 2022Review
- Article
- Robotic-Based Well-Being Monitoring and Coaching System for the Elderly in Their Daily Activities.Sensors (Basel, Switzerland) · 2021Article
- Measuring Outdoor Walking Capacities Using Global Positioning System in People with Multiple Sclerosis: Clinical and Methodological Insights from an Exploratory Study.Sensors (Basel, Switzerland) · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Multiple sclerosis (MS) is the most common neurological disorder in young adults. The prevalence of walking impairment in people with MS (pwMS) is estimated between 41% and 75%. To evaluate the walking capacity in pwMS, the patient reported outcomes (PROs) and performance-based tests (i.e., the 2-minute walk test, the 6-minute walk test, the Timed 25-Foot Walk Test, the Timed Up and Go Test, and the Six Spot Step Test) could be used. However, some studies point out that the results of both performance-based tests and objective measures (i.e., by accelerometer) could not reflect patient reports of walking performance and impact of MS on daily life. This review analyses different motion sensors embedded in smartphones and motion wearable device (MWD) that can be useful to measure free-living walking behavior, to evaluate falls, fatigue, sedentary lifestyle, exercise, and quality of sleep in everyday life of pwMS. Caveats and limitations of MWD such as variable accuracy, user adherence, power consumption and recharging, noise susceptibility, and data management are discussed as well.
Identifiers
What OpenQuestion holds
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.