ArticleBrain sciences2021
A Novel Digital Care Management Platform to Monitor Clinical and Subclinical Disease Activity in Multiple Sclerosis.
Article in Brain sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 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.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Commercial volumetric MRI reporting tools in multiple sclerosis: a systematic review of the evidence.Neuroradiology · 2023Pooled it
- An automated quantitative report for multiple sclerosis using only 3D T2-fluid-attenuated inversion recovery MRI.Neuroradiology · 2026Article
- The relationship between objective and subjective cognitive performance and clinical and MRI disease burden in early multiple sclerosis.Scientific reports · 2026Article
- Digital patient experience tools in multiple sclerosis: a landscape analysis of the global Patient-Reported Outcomes in Multiple Sclerosis (PROMS) initiative.EClinicalMedicine · 2026Article
- MS360°: a conceptual digital-first, data-driven hybrid care framework for personalised multiple sclerosis management.NPJ digital medicine · 2026Review
- Advancing MS care: Are QReports the next leap in imaging?European radiology · 2025Article
- User requirements for quantitative radiological reports in multiple sclerosis.European radiology · 2025Article
- A New Smartphone-Based Cognitive Screening Battery for Multiple Sclerosis (icognition): Validation Study.Journal of medical Internet research · 2025Article
- Effects of a Digital Care Pathway for Multiple Sclerosis: Observational Study.JMIR human factors · 2024Observational
- Changes in MRI Workflow of Multiple Sclerosis after Introduction of an AI-Software: A Qualitative Study.Healthcare (Basel, Switzerland) · 2024Article
- Brain volume loss in Japanese patients with multiple sclerosis is present in the early to middle stage of the disease.Heliyon · 2024Article
- The global patient-reported outcomes for multiple sclerosis initiative: bridging the gap between clinical research and care - updates at the 2023 plenary event.Frontiers in neurology · 2024Review
- A future of AI-driven personalized care for people with multiple sclerosis.Frontiers in immunology · 2024Article
- Management of multiple sclerosis fatigue in the digital age: from assessment to treatment.Frontiers in neuroscience · 2023Review
- An IT Platform Supporting Rectal Cancer Tumor Board Activities: Implementation Process and Impact Analysis.International journal of environmental research and public health · 2022Article
- Digital Innovation in Multiple Sclerosis Management.Brain sciences · 2021Article
- Health Economic Impact of Software-Assisted Brain MRI on Therapeutic Decision-Making and Outcomes of Relapsing-Remitting Multiple Sclerosis Patients-A Microsimulation Study.Brain sciences · 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
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In multiple sclerosis (MS), the early detection of disease activity or progression is key to inform treatment changes and could be supported by digital tools. We present a novel CE-marked and FDA-cleared digital care management platform consisting of (1) a patient phone/web application and healthcare professional portal (ico
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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.