Evidence mapPaperPMID 41152575Full record

ReviewCurrent neurology and neuroscience reports2025

Sensors in Multiple Sclerosis.

Angeliki G Filippatou, Ellen M Mowry

Abstract readReview
In one paragraph

Review in Current neurology and neuroscience reports, 2025. 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. Walking as a Window to the Brain: Redefining Gait in Neurology.Medical sciences (Basel, Switzerland) · 2026
    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

2 authors.

Angeliki G FilippatouDivision of Neuroimmunology and Neurological Infections, Department of Neurology, Johns Hopkins University School of Medicine, 600 N. Wolfe St, Baltimore, MD, 21287, USA. afilipp5@jhmi.edu.
Ellen M MowryDivision of Neuroimmunology and Neurological Infections, Department of Neurology, Johns Hopkins University School of Medicine, 600 N. Wolfe St, Baltimore, MD, 21287, USA.

Funding

National MS Society FP-2307-41984NIH HHS R01NR018851NIH HHS R25NS065729NINDS NIH HHS R25 NS065729NINR NIH HHS R01 NR018851
6 · The paper itself

Abstract

purpose of reviewBiosensors and digital tools may enhance monitoring of people with multiple sclerosis (MS) and support timely, data-driven clinical decisions. We review current and emerging applications of biosensors to monitor function in MS. RECENT RINDINGS: Biosensors track diverse physiological and kinetic metrics, allowing assessment of function across several key domains in MS, including physical activity, circadian rhythmicity, gait, balance, fine motor function, and bladder control. A consistent cross-study finding is that novel technologies reliably capture subtle abnormalities that are often missed by traditional assessment methods. Digital health technologies hold significant promise for transforming MS care by enabling precise, continuous monitoring of functional status and disease progression. They may facilitate personalized management, allowing clinicians to tailor interventions based on each person's unique disease trajectory. Further studies are essential to validate the predictive value and responsiveness of these tools and ensure their effective integration into clinical practice and trials.

Indexed as

Biosensing TechniquesMultiple SclerosisHumansBiosensorsDigital biomarkersDigital toolsMultiple sclerosisWearables

Identifiers

PMID41152575
PMCPMC12568836

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.