ArticleJournal of central nervous system disease2026
Case-Based Lessons on Remote Patient Monitoring in Neurology Using Consumer-Grade Wearables.
Article in Journal of central nervous system disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Delivering high-quality multiple sclerosis care in Germany: challenges and regional models.Neurological research and practice · 2026Review
- Rethinking EDSS-based ambulation assessment in multiple sclerosis using continuous variable monitoring.Neurological research and practice · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Consumer-grade wearables offer promising opportunities for remote patient monitoring (RPM) in neurological disorders, yet their clinical application remains uncertain. In this exploratory analysis, we draw on prospective observational trials using smartwatches in patients with multiple sclerosis, myasthenia gravis, chronic inflammatory demyelinating polyneuropathy, and migraine, who were monitored for 6 to 24 months. Through detailed clinical case narratives, we illustrate both the potential and the limitations of RPM in neurology. Wearable-generated data successfully captured early, clinically meaningful changes, such as the onset of a myasthenic exacerbation, and supported patient engagement in identifying individual triggers, including for migraine. However, external influences such as holidays, infections, or mobility aid use confounded activity signals, underscoring the importance of contextual interpretation. While wearables can enhance neurological care, their integration into clinical workflows is challenged by limited validation and interpretability. Realising their potential requires robust validation in clinical settings and the development of interoperable RPM platforms supported by close collaboration between clinicians, engineers, and patients.
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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.