Evidence map›Paper›PMID 39987452›Full record

ArticleArthritis research & therapy2025

Toward digitally supported self-assessment of patients with idiopathic inflammatory myopathies.

Felix Kurt Seese, Pia Roscher, Birte Coppers, Julia Greenfield, Manuel Grahammer, Sebastian Kuhn, Latika Gupta, Georg Schett, Johannes Knitza, Anna-Maria Liphardt

Abstract read
In one paragraph

Article in Arthritis research & therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from 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.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Felix Kurt SeeseDepartment of Internal Medicine 3, Rheumatology and Immunology, Friedrich-Alexander-Universität Erlangen-Nürnberg and Universitätsklinikum Erlangen, Ulmenweg 18, 91054, Erlangen, Germany.
Pia RoscherDepartment of Internal Medicine 3, Rheumatology and Immunology, Friedrich-Alexander-Universität Erlangen-Nürnberg and Universitätsklinikum Erlangen, Ulmenweg 18, 91054, Erlangen, Germany.
Birte CoppersDepartment of Internal Medicine 3, Rheumatology and Immunology, Friedrich-Alexander-Universität Erlangen-Nürnberg and Universitätsklinikum Erlangen, Ulmenweg 18, 91054, Erlangen, Germany.
Julia GreenfieldInstitute for Digital Medicine, University Hospital Giessen-Marburg, Philipps University, Baldingerstrasse 1, 35043, Marburg, Germany.
Manuel GrahammerABATON GmbH, Berlin, Germany.
Sebastian KuhnInstitute for Digital Medicine, University Hospital Giessen-Marburg, Philipps University, Baldingerstrasse 1, 35043, Marburg, Germany.
Latika GuptaDepartment of Rheumatology, Royal Wolverhampton Hospitals NHS Trust, Wolverhampton, UK.
Georg SchettDepartment of Internal Medicine 3, Rheumatology and Immunology, Friedrich-Alexander-Universität Erlangen-Nürnberg and Universitätsklinikum Erlangen, Ulmenweg 18, 91054, Erlangen, Germany.
Johannes Knitza *Department of Internal Medicine 3, Rheumatology and Immunology, Friedrich-Alexander-Universität Erlangen-Nürnberg and Universitätsklinikum Erlangen, Ulmenweg 18, 91054, Erlangen, Germany. knitza@uni-marburg.de.
Anna-Maria Liphardt *Department of Internal Medicine 3, Rheumatology and Immunology, Friedrich-Alexander-Universität Erlangen-Nürnberg and Universitätsklinikum Erlangen, Ulmenweg 18, 91054, Erlangen, Germany. maria.liphardt@uk-erlangen.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundManual muscle testing (MMT8), the current gold standard for assessing muscle function in patients with idiopathic inflammatory myopathies (IIM), has notable limitations. This study had three aims (1) to compare MMT8 with inertial sensor-based gait analysis, (2) to evaluate patient-performed functional tests guided by shared decision-making (SDM), and (3) to investigate adherence to electronic patient-reported outcomes (ePROs).

methodsGold standard muscle function assessment (MMT8) was performed at baseline (T0) and three months (T1). Additionally, inertial-sensor-based gait analysis was completed at T0 and two standardized upper extremity (Modified Barré test; 10-time arm lift test) and two lower extremity muscle endurance tests (60-second Sit-to-Stand (STS) test; Mingazzini test) were presented to patients to choose from. Through shared decision-making, each patient selected one test for lower and upper extremities and opted to record weekly results on paper or through a medical app. Correlations between gait parameters, functional tests, and MMT8 were analyzed, while agreement between patient- and healthcare professional (HCP)-recorded results at T0 and T1 was assessed. Responsiveness to change was also evaluated.

resultsA total of 28 IIM patients (67.9% female; mean age 57.4 ± 12.9 years) were enrolled. Moderate correlations were observed between gait parameters and MMT8, such as walking speed (r = 0.545, p = 0.004) and stride length (r = 0.580, p = 0.002). All patients selected the Modified Barré test for assessing upper extremity function and 60.7% of patients chose the Mingazzini test for lower extremity function. Agreement between patient- and HCP-recorded functional test results was excellent at baseline and after three months (ICC 0.99-1.00). Functional tests demonstrated strong correlations with MMT8, particularly for the Mingazzini test (r = 0.762, p = 0.002). Patients preferred app-based recording (82.1%) over paper-based methods and weekly ePROs were completed on average 6.9 out of 12 weeks (57.5%).

conclusionPatient-performed functional tests are reliable, scalable alternatives to MMT8, with gait analysis providing complementary insights. Digitally supported self-assessments can enhance clinical workflows, remote monitoring, and treat-to-target strategies, empowering patients and improving disease management.

Indexed as

MyositisSelf-AssessmentAdultAgedFemaleGait AnalysisHumansMaleMiddle AgedPatient Reported Outcome MeasuresDigital healthIdiopathic inflammatory myopathies (IIM)Inertial sensor-based gait analysisMuscle function assessmentRemote monitoring

Identifiers

PMID39987452
PMCPMC11846393

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

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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.