Evidence map›Paper›PMID 40395207›Full record

ArticleMovement disorders : official journal of the Movement Disorder Society2025

Capture of Longitudinal Change in Real-Life Walking in Cerebellar Ataxia Increases Patient Relevance and Effect Size.

Jens Seemann, Theresa Beyme, Natalie John, Florian Harmuth, Martin Giese, Ludger Schöls, Dagmar Timmann, Matthis Synofzik, Winfried Ilg

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Article in Movement disorders : official journal of the Movement Disorder Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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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

9 authors.

Jens SeemannSection Computational Sensomotorics, Hertie Institute for Clinical Brain Research, Tübingen, Germany.
Theresa BeymeSection Computational Sensomotorics, Hertie Institute for Clinical Brain Research, Tübingen, Germany.
Natalie JohnSection Computational Sensomotorics, Hertie Institute for Clinical Brain Research, Tübingen, Germany.
Florian HarmuthInstitute of Medical Genetics and Applied Genomics, University Hospital Tübingen, University of Tübingen, Tübingen, Germany.
Martin GieseSection Computational Sensomotorics, Hertie Institute for Clinical Brain Research, Tübingen, Germany.
Ludger SchölsGerman Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany.
Dagmar TimmannDepartment of Neurology and Center for Translational and Behavioral Neurosciences (C-TNBS), Essen University Hospital, University of Duisburg-Essen, Essen, Germany.
Matthis SynofzikDivision Translational Genomics of Neurodegenerative Diseases, Hertie-Institute for Clinical Brain Research and Center for Neurology, University of Tübingen, Tübingen, Germany.ORCID https://orcid.org/0000-0002-2280-7273
Winfried IlgSection Computational Sensomotorics, Hertie Institute for Clinical Brain Research, Tübingen, Germany.ORCID https://orcid.org/0000-0002-1537-1336

Funding

Else Kröner-Fresenius-StiftungEuropean Commission 101156595
6 · The paper itself

Abstract

backgroundWith disease-modifying drugs for degenerative ataxias on the horizon, ecologically valid measures of gait performance that can detect patient-relevant changes in trial-like time frames are highly warranted.

objectivesIn this 2-year longitudinal study, we aimed to unravel ataxic gait measures sensitive to longitudinal changes in patients' real lives using wearable sensors.

methodsWe assessed longitudinal gait changes of 26 participants with degenerative cerebellar disease (Scale for the Assessment and Rating of Ataxia [SARA]: 9.4 ± 4.1) at baseline, 1-year, and 2-year follow-up using three body-worn inertial sensors in two conditions: (1) laboratory-based walking (LBW); and (2) real-life walking (RLW). In RLW, a context-sensitive analysis was performed by selecting comparable walking bouts according to macroscopic gait characteristics. Gait analysis focused on measures of spatio-temporal variability, particularly stride length variability, lateral step deviation, and a compound measure of spatial variability (SPCmp).

resultsGait variability measures showed high test-retest reliability in both walking conditions (intraclass correlation coefficient [ICC], ≥0.82). Cross-sectional analyses revealed high correlations of gait measures with ataxia severity (SARA, effect size ρ ≥ 0.75); and with patients' subjective balance confidence (Activity-specific Balance Confidence scale [ABC]: ρ ≥ 0.71). Although SARA showed longitudinal changes only after 2 years, the gait measure SPCmp revealed changes after 1 year with high effect size (r

conclusionsBecause of their ecological validity and larger effect sizes, real-life gait characteristics represent promising performance measures as outcomes for future treatment trials. © 2025 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.

Indexed as

Cerebellar AtaxiaGaitGait Disorders, NeurologicWalkingAgedDisease ProgressionFemaleGait AnalysisHumansLongitudinal StudiesMaleMiddle AgedReproducibility of Resultsbiomarkercerebellar ataxiadigital healthreal‐life walkingwearable sensors

Identifiers

PMID40395207
PMCPMC12273614

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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 OpenQuestion graph.