Evidence map›Paper›PMID 41423716›Full record

Trial reportAnnals of clinical and translational neurology2026

Remote Monitoring in Myasthenia Gravis: Exploring Symptom Variability.

Maike Stein, Maximilian Mönch, Meret Herdick, Frauke Stascheit, Sarah Hoffmann, Hannah Preßler, Philipp Mergenthaler, Carla Dusemund, Paolo Doksani, Haoqi Sun and 4 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Annals of clinical and translational neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
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

14 authors.

Maike SteinDepartment of Neurology With Experimental Neurology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.ORCID 0009-0002-1514-8385
Maximilian MönchInstitute of Biometry and Clinical Epidemiology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Meret HerdickDepartment of Neurology With Experimental Neurology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Frauke StascheitDepartment of Neurology With Experimental Neurology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.ORCID 0000-0001-5306-7880
Sarah HoffmannDepartment of Neurology With Experimental Neurology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.ORCID 0000-0001-9549-2594
Hannah PreßlerDepartment of Neurology With Experimental Neurology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Philipp MergenthalerDepartment of Neurology With Experimental Neurology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.ORCID 0000-0002-9753-6711
Carla DusemundDepartment of Neurology With Experimental Neurology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Paolo DoksaniDepartment of Neurology With Experimental Neurology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Haoqi SunDepartment of Neurology, Beth Israel Deaconess Medical Center/Harvard Medical School, Boston, Massachusetts, USA.
Pushpa NarayanaswamiDepartment of Neurology, Beth Israel Deaconess Medical Center/Harvard Medical School, Boston, Massachusetts, USA.
Andreas MeiselDepartment of Neurology With Experimental Neurology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Lea GerischerDepartment of Neurology With Experimental Neurology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.ORCID 0000-0001-5746-068X
Sophie LehnererDepartment of Neurology With Experimental Neurology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.ORCID 0000-0001-9007-027X

Funding

ArgenxDeutsche Forschungsgemeinschaft 553539684HormosanUCB Pharma Germany
6 · The paper itself

Abstract

backgroundMyasthenia gravis (MG) is a rare, autoimmune disorder characterized by fluctuating muscle weakness and potential life-threatening crises. While continuous specialized care is essential, access barriers often delay timely interventions. To address this, we developed MyaLink, a telemedical platform for MG patients. This study evaluated whether frequently assessed clinical outcomes via MyaLink can capture symptom variability between clinical visits.

methodsIn this randomized, controlled, 12-week study, 45 MG patients received either standard care (control, N = 15) or standard care with additional telemedical treatment (intervention, N = 30) including assessment of patient-reported outcome measures, sensor-based data, and patient-physician messaging via a mobile application. Physicians performed telemedical check-ups (TCUs) via a web-based platform, adjusting treatment as needed.

resultsIn the intervention group, variability in clinical scores and sensor-derived data was observed, particularly among those who experienced MG-related hospitalizations or exacerbations (H&E subgroup). This subgroup showed larger MG-ADL score fluctuations (mean range: 5.8 vs. 2.6 points), sent more messages, had more steroid dose adjustments (40% vs. 0%), and more frequent TCU interventions (93.3% vs. 60%) than the Non-H&E subgroup.

interpretationTelemedical platforms in MG might detect early signs of worsening. High-risk patients (H&E subgroup) require increased medical support, which can be effectively addressed through MyaLink.

trial registrationThe study was registered under the German clinical trial registry (DRKS00029907).

Indexed as

Myasthenia GravisAdultAgedFemaleHumansMaleMiddle AgedPatient Reported Outcome MeasuresRemote Patient MonitoringTelemedicinedisease progressionmonitoringmyasthenia gravisremote consultationtelemedicine

Identifiers

PMID41423716
PMCPMC13251423

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.