Evidence map›Paper›PMID 38015365›Full record

ReviewCerebellum (London, England)2024

Using Smartphone Sensors for Ataxia Trials: Consensus Guidance by the Ataxia Global Initiative Working Group on Digital-Motor Biomarkers.

Andrea H Németh, Chrystalina A Antoniades, Juergen Dukart, Martina Minnerop, Clara Rentz, Bart-Jan Schuman, Bart van de Warrenburg, Ilse Willemse, Enrico Bertini, Anoopum S Gupta and 10 more

Open access · hybridAbstract readReviewConsensus Statement
In one paragraph

Review in Cerebellum (London, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.5field-weighted citation impact, top 10% of its field
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

13 citing papers in PubMed, 17 citations in OpenAlex.

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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

20 authors at 13 institutions in 8 countries.

Andrea H NémethNuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
Chrystalina A AntoniadesNeurometrology Group, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
Juergen DukartInstitute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany.
Martina MinneropInstitute of Clinical Neuroscience and Medical Psychology, Medical Faculty & University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
Clara RentzInstitute of Neuroscience and Medicine, (INM-1), Research Centre Jülich, Jülich, Germany.
Bart-Jan SchumanFriedreich Ataxie Förderverein E.V, Pliening, Germany.
Bart van de WarrenburgDepartment of Neurology, Donders Institute for Brain, Cognition, and Behaviour, Radboud University Medical Center, 6525, Nijmegen, Netherlands.
Ilse WillemseDonders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, Netherlands.
Enrico BertiniUnit of Neuromuscular and Neurodegenerative Disorders, Dept Neurosciences, Bambino Gesu' Children's Research Hospital, IRCCS, Rome, Italy.
Anoopum S GuptaDepartment of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Carlos Bandeira de Mello MonteiroFaculty of Medicine, University of São Paulo, São Paulo, SP, Brazil.
Hajar AlmoajilPhysical Therapy Department, College of Applied Medical Sciences, Imam Abdulrahman Bin Faisal University, Damman, Saudi Arabia.
Lori QuinnDepartment of Biobehavioral Sciences, Teachers College, Columbia University, New York, NY, USA.
Susan B PerlmanUniversity of California Los Angeles, Los Angeles, CA, USA.
Fay HorakDepartment of Neurology, Oregon Health & Science University, Portland, OR, USA.
Winfried IlgSection Computational Sensomotorics, Hertie Institute for Clinical Brain Research, Tübingen, Germany.
Andreas TraschützResearch Division "Translational Genomics of Neurodegenerative Diseases", Hertie Institute for Clinical Brain Research and Center of Neurology, University of Tübingen, Tübingen, Germany.
Adam P VogelCentre for Neuroscience of Speech, The University of Melbourne, Melbourne, Australia.
Helen DawesNIHR Exeter Biomedical Research Centre, Medical School, Faculty of Health and Life Sciences, College of Medicine and Health, St Lukes Campus, University of Exeter, Heavitree Road, Exeter, UK. h.dawes@exeter.ac.uk.
AGI Digital-Motor Biomarkers Working Group
Hertie Institute for Clinical Brain Research · DERadboud University Medical Center · NLUniversity of Oxford · GBBambino Gesù Children's Hospital · ITColumbia University · USDüsseldorf University Hospital · DEGerman Center for Neurodegenerative Diseases · DEHarvard University · USHeinrich Heine University Düsseldorf · DEImam Abdulrahman Bin Faisal University · SAOregon Health & Science University · USUniversidade de São Paulo · BRUniversity of California, Los Angeles · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Smartphone sensors are used increasingly in the assessment of ataxias. To date, there is no specific consensus guidance regarding a priority set of smartphone sensor measurements, or standard assessment criteria that are appropriate for clinical trials. As part of the Ataxia Global Initiative Digital-Motor Biomarkers Working Group (AGI WG4), aimed at evaluating key ataxia clinical domains (gait/posture, upper limb, speech and oculomotor assessments), we provide consensus guidance for use of internal smartphone sensors to assess key domains. Guidance was developed by means of a literature review and a two stage Delphi study conducted by an Expert panel, which surveyed members of AGI WG4, representing clinical, research, industry and patient-led experts, and consensus meetings by the Expert panel to agree on standard criteria and map current literature to these criteria. Seven publications were identified that investigated ataxias using internal smartphone sensors. The Delphi 1 survey ascertained current practice, and systems in use or under development. Wide variations in smartphones sensor use for assessing ataxia were identified. The Delphi 2 survey identified seven measures that were strongly endorsed as priorities in assessing 3/4 domains, namely gait/posture, upper limb, and speech performance. The Expert panel recommended 15 standard criteria to be fulfilled in studies. Evaluation of current literature revealed that none of the studies met all criteria, with most being early-phase validation studies. Our guidance highlights the importance of consensus, identifies priority measures and standard criteria, and will encourage further research into the use of internal smartphone sensors to measure ataxia digital-motor biomarkers.

Indexed as

AtaxiaBiomarkersConsensusDelphi TechniqueSmartphoneClinical Trials as TopicHumansBiomarkersAtaxiaDigital motor performance outcome measuresInternal smartphone Sensors

Identifiers

PMID38015365
PMCPMC11102363
OpenAlexW4389096134

What OpenQuestion 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 OpenQuestion graph.