ReviewNeurology. Clinical practice2017
Wearable biosensors to monitor disability in multiple sclerosis.
Review in Neurology. Clinical practice, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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
26 citing papers in PubMed, 56 citations in OpenAlex.
- Digital symbol-digit modalities test with modified flexible protocols in patients with CNS demyelinating diseases.Scientific reports · 2024Article
- Wearable Sensor Technologies to Assess Motor Functions in People With Multiple Sclerosis: Systematic Scoping Review and Perspective.Journal of medical Internet research · 2023Article
- Automatic Assessment of the 2-Minute Walk Distance for Remote Monitoring of People with Multiple Sclerosis.Sensors (Basel, Switzerland) · 2023Article
- Decentralised clinical trials in multiple sclerosis research.Multiple sclerosis (Houndmills, Basingstoke, England) · 2023Review
- Management of multiple sclerosis fatigue in the digital age: from assessment to treatment.Frontiers in neuroscience · 2023Review
- Multiple sclerosis and exercise-A disease-modifying intervention of mice or men?Frontiers in neurology · 2023Review
- Autonomic response to walk tests is useful for assessing outcome measures in people with multiple sclerosis.Frontiers in physiology · 2023Article
- Feasibility and scalability of a fitness tracker study: Results from a longitudinal analysis of persons with multiple sclerosis.Frontiers in digital health · 2023Article
- Pedometers and Accelerometers in Multiple Sclerosis: Current and New Applications.International journal of environmental research and public health · 2022Review
- Fall Prediction Based on Instrumented Measures of Gait and Turning in Daily Life in People with Multiple Sclerosis.Sensors (Basel, Switzerland) · 2022Article
- Sensor-based gait analyses of the six-minute walk test identify qualitative improvement in gait parameters of people with multiple sclerosis after rehabilitation.Journal of neurology · 2022Article
- Practice Effects of Mobile Tests of Cognition, Dexterity, and Mobility on Patients With Multiple Sclerosis: Data Analysis of a Smartphone-Based Observational Study.Journal of medical Internet research · 2021Observational
- Robotic-Based Well-Being Monitoring and Coaching System for the Elderly in Their Daily Activities.Sensors (Basel, Switzerland) · 2021Article
- Telehealth in Multiple Sclerosis Clinical Care and Research.Current neurology and neuroscience reports · 2021Review
- Does gait bout definition influence the ability to discriminate gait quality between people with and without multiple sclerosis during daily life?Gait & posture · 2021Article
- Biosensor vital sign detects multiple sclerosis progression.Annals of clinical and translational neurology · 2021Article
- Rates, patterns, and correlates of fitness tracker use among older adults with multiple sclerosis.Disability and health journal · 2021Article
- Leveraging real-world data to investigate multiple sclerosis disease behavior, prognosis, and treatment.Multiple sclerosis (Houndmills, Basingstoke, England) · 2020Review
- [Enhancing monitoring of disease progression-remote sensoring in multiple sclerosis].Der Nervenarzt · 2019Review
- Adherence and Satisfaction of Smartphone- and Smartwatch-Based Remote Active Testing and Passive Monitoring in People With Multiple Sclerosis: Nonrandomized Interventional Feasibility Study.Journal of medical Internet research · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purpose of reviewBiosensors capable of measuring physiologic and kinetic parameters associated with disability are being applied to the study of people with multiple sclerosis (MS). We review the use of biosensors in people with MS with an emphasis on measuring/monitoring disability and understanding knowledge gaps between biosensor data and clinical care. RECENT
findingsAccelerometers are available to the public and may be able to help the clinician understand a patient's degree of disability. Further studies with wearable biosensors capable of measuring other physiologic features, such as vital signs, are needed and are likely to contribute to our understanding of MS. SUMMARY: Wearable biosensors can improve our understanding of disability, response to treatment, and natural history of MS.
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.