Evidence map›Paper›PMID 41695242›Full record

ArticleJournal of central nervous system disease2026

Case-Based Lessons on Remote Patient Monitoring in Neurology Using Consumer-Grade Wearables.

Paula Z Epping, Ramona Hagler, Noah M Werner, Jan Voth, Linea Schmidt, Niklas Huntemann, Ariel D Stern, Tobias Ruck, Sven G Meuth, Marc Pawlitzki and 1 more

Abstract readCase Reports
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Paula Z EppingDepartment of Neurology, University Hospital and Medical Faculty University Hospital Düsseldorf, Düsseldorf, Germany.ORCID https://orcid.org/0009-0002-6219-988X
Ramona HaglerDepartment of Neurology, University Hospital and Medical Faculty University Hospital Düsseldorf, Düsseldorf, Germany.
Noah M WernerDepartment of Neurology, University Hospital and Medical Faculty University Hospital Düsseldorf, Düsseldorf, Germany.
Jan VothDepartment of Neurology, University Hospital and Medical Faculty University Hospital Düsseldorf, Düsseldorf, Germany.
Linea SchmidtHasso Plattner Institute, Digital Engineering Faculty, University of Potsdam, Potsdam, Germany.
Niklas HuntemannDepartment of Neurology, University Hospital and Medical Faculty University Hospital Düsseldorf, Düsseldorf, Germany.
Ariel D SternHasso Plattner Institute, Digital Engineering Faculty, University of Potsdam, Potsdam, Germany.
Tobias RuckDepartment of Neurology, University Hospital and Medical Faculty University Hospital Düsseldorf, Düsseldorf, Germany.
Sven G MeuthDepartment of Neurology, University Hospital and Medical Faculty University Hospital Düsseldorf, Düsseldorf, Germany.
Marc PawlitzkiDepartment of Neurology, University Hospital and Medical Faculty University Hospital Düsseldorf, Düsseldorf, Germany.ORCID https://orcid.org/0000-0003-3080-2277
Lars MasanneckDepartment of Neurology, University Hospital and Medical Faculty University Hospital Düsseldorf, Düsseldorf, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

multiple sclerosismyasthenia gravisneurologyremote patient monitoringwearable

Identifiers

PMID41695242
PMCPMC12894642

What OpenQuestion holds

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Registered trials

None linked

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.