Evidence map›Paper›PMID 40126682›Full record

ArticleCerebellum (London, England)2025

Smartphone Application for Spastic Ataxias Cross-Sectional Validation of a Newly Developed Smartphone App for Remote Monitoring in Spastic Ataxias.

Ilse H J Willemse, Sabato Mellone, Carlo Tacconi, Winfried Ilg, Rebecca Schüle, Matthis Synofzik, Jorik H Nonnekes, Bart P C van de Warrenburg

Abstract readValidation Study
In one paragraph

Article in Cerebellum (London, England), 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

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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

8 authors.

Ilse H J WillemseDonders Institute for Brain, Cognition and Behaviour, Department of Neurology, Center of Expertise for Parkinson & Movement Disorders, Radboud University Medical Center, Nijmegen, The Netherlands. ilse.willemse@radboudumc.nl.
Sabato MelloneDepartment of Electrical, Electronic and Information Engineering "Guglielmo Marconi", University of Bologna, Bologna, Italy.
Carlo TacconimHealth Technologies s.r.l., Bologna, Italy.
Winfried IlgSection Computational Sensomotorics, Hertie Institute for Clinical Brain Research, Tübingen, Germany.
Rebecca SchüleDivision of Neurodegenerative Diseases, Department of Neurology, Heidelberg University Hospital and Faculty of Medicine, Heidelberg, Germany.
Matthis SynofzikDivision Translational Genomics of Neurodegenerative Diseases, Hertie-Institute for Clinical Brain Research and Center of Neurology, Tuebingen University Hospital, Hoppe-Seyler-Str. 3, 72076, Tuebingen, Germany.
Jorik H NonnekesDonders Institute for Brain, Cognition and Behaviour, Department of Rehabilitation, Center of Expertise for Parkinson & Movement Disorders, Radboud University Medical Center, Nijmegen, The Netherlands.
Bart P C van de WarrenburgDonders Institute for Brain, Cognition and Behaviour, Department of Neurology, Center of Expertise for Parkinson & Movement Disorders, Radboud University Medical Center, Nijmegen, The Netherlands.

Funding

the Deutsche Forschungsgemeinschaft 441409627ZonMw (The Netherlands Organisation for Health Research and Development) 463002002
6 · The paper itself

Abstract

Effective trial-planning in Spastic ataxias (SPAX) is impeded by the absence of validated outcome measures for detecting longitudinal changes. Digital outcome measures show promise, demonstrating sensitivity to disease severity changes in ataxia and strong correlations with clinical scales. The objective of this study was to develop a smartphone application for SPAX (SPAX-app) to obtain valid digital outcome measures for use in clinical trials. The app contains four tasks assessing gait, standing balance (stance), and finger and hand movements. We carried out a validation study in 22 SPAX patients and 10 controls. Subjects performed the tasks three times during one visit. In parallel, we performed Ambulatory Parkinson's Disease Monitoring (APDM) sensor recordings, Q-motor upper limb assessment, and the Scale for the Assessment and Rating of Ataxia (SARA). Significant correlations were found between the SPAX-app and APDM or Q-motor for step time (r = 0.91), all measures of stance (r = 0.51-0.87) and duration of hand alternation (r = 0.64). No significant correlations were found for variability measures (e.g. standard deviation of step time). All tasks of the SPAX-app, except for stance, can discriminate SPAX from controls and show moderate to high test-retest reliability (ICC 0.67-0.97). Significant correlations were found between SARA and step time (r = 0.70), inter-onset interval in finger tapping (r = 0.57), and duration of hand alternation (r = 0.65). The stance task did not show significant correlations with SARA. With the SPAX-app, we present a set of digital outcome measures for potential use in clinical trials. Longitudinal studies are needed to evaluate whether these measures can track disease progression.

Indexed as

Mobile ApplicationsMuscle SpasticitySmartphoneSpinocerebellar AtaxiasAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedPostural BalanceReproducibility of ResultsAppDigital biomarkersRemote monitoringSmartphone applicationSpastic ataxia

Identifiers

PMID40126682
PMCPMC11933166

What OpenQuestion holds

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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 OpenQuestion graph.