Trial reportJournal of neurology2023
Reliability and acceptance of dreaMS, a software application for people with multiple sclerosis: a feasibility study.
Trial report in Journal of neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04413032 (DreaMS - Development of Digital Biomarkers in Multiple Sclerosis - Feasibility Study), which is not on this map. Cited by 22 papers, 1 of them a synthesis that pooled it.
What it found
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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.
DreaMS - Development of Digital Biomarkers in Multiple Sclerosis - Feasibility Study
Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Characterizing gait in people with multiple sclerosis using digital data from smartphone sensors: A proposed framework.Multiple sclerosis (Houndmills, Basingstoke, England) · 2025Pooled it
- Neurostatus-SMARTCARE clinical trial: Enabling health care professionals to assess EDSS for decentralized trials in multiple sclerosis.Multiple sclerosis (Houndmills, Basingstoke, England) · 2025Trial
- The myth of digital biomarkers in Alzheimer's disease: how to make them a reality.Current opinion in psychiatry · 2026Review
- Digital patient experience tools in multiple sclerosis: a landscape analysis of the global Patient-Reported Outcomes in Multiple Sclerosis (PROMS) initiative.EClinicalMedicine · 2026Article
- Motor fatigue and fatigability in early multiple sclerosis patients: an analysis of clinical, radiological and psychological underpinnings.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026Article
- Monitoring cognition in multiple sclerosis via adaptive smartphone games-first insights from a validation study.Frontiers in digital health · 2026Article
- Case-Based Lessons on Remote Patient Monitoring in Neurology Using Consumer-Grade Wearables.Journal of central nervous system disease · 2026Article
- Anchor-based evaluation of digital motor biomarkers from a 2-year observation in 100 patients with multiple sclerosis.Journal of neurology · 2025Observational
- Digital Activity Markers in Chronic Inflammatory Demyelinating Polyneuropathy.Annals of clinical and translational neurology · 2025Observational
- Learning as a digital hallmark of cognition in multiple sclerosis: lessons from a digital symbol digit modalities test.Journal of neurology · 2025Article
- Longitudinal Digital Phenotyping of Multiple Sclerosis Severity Using Passively Sensed Behaviors and Ecological Momentary Assessments: Real-World Evaluation.Journal of medical Internet research · 2025Article
- CoGames: Development of an adaptive smartphone-based and gamified monitoring tool for cognitive function in Multiple Sclerosis.Journal of neurology · 2025Observational
- Development and validation of an electronic Symbol-Digit Modalities Test for remote monitoring of people with multiple sclerosis.European journal of neurology · 2025Article
- From implementation to discontinuation: multi-year experience with the multiple sclerosis performance test as a digital monitoring tool.Frontiers in digital health · 2025Article
- Information from ecological momentary assessments lead to over-medicalization: Commentary.Multiple sclerosis (Houndmills, Basingstoke, England) · 2024Article
- Modeling multiple sclerosis using mobile and wearable sensor data.NPJ digital medicine · 2024Article
- Smartphone-Based Assessment of Mobility and Manual Dexterity in Adult People with Spinal Muscular Atrophy.Journal of neuromuscular diseases · 2024Article
- Beyond Audio-Video Telehealth: Perspective on the Current State and Future Directions of Digital Neurological Care in the United States.JMIR neurotechnology · 2024Article
- Multiple sclerosis functional tests and their comparability with self-administered values: A pilot studyBiomedica : revista del Instituto Nacional de Salud · 2023Article
- Wearable Sensor Technologies to Assess Motor Functions in People With Multiple Sclerosis: Systematic Scoping Review and Perspective.Journal of medical Internet research · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThere is an unmet need for reliable and sensitive measures for better monitoring people with multiple sclerosis (PwMS) to detect disease progression early and adapt therapeutic measures accordingly.
objectiveTo assess reliability of extracted features and meaningfulness of 11 tests applied through a smartphone application ("dreaMS").
methodsPwMS (age 18-70 and EDSS ≤ 6.5) and matched healthy volunteers (HV) were asked to perform tests installed on their smartphone once or twice weekly for 5 weeks. Primary outcomes were test-retest reliability of test features (target: intraclass correlation [ICC] ≥ 0.6 or median coefficient of variation [mCV] < 0.2) and reported meaningfulness of the tests by PwMS. Meaningfulness was self-assessed for each test on a 5-point Likert scale (target: mean score of > 3) and by a structured interview. CLINICALTRIALS: gov Identifier: NCT04413032.
resultsWe included 31 PwMS (21 [68%] female, mean age 43.4 ± 12.0 years, median EDSS 3.0 [range 1.0-6.0]) and 31 age- and sex-matched healthy volunteers. Out of 133 features extracted from 11 tests, 89 met the preset reliability criteria. All 11 tests were perceived as highly meaningful to PwMS.
conclusionThe dreaMS app reliably assessed features reflecting key functional domains meaningful to PwMS. More studies with longer follow-up are needed to prove validity of these measures as digital biomarkers in PwMS.
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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 OpenQuestion graph.