Evidence map›Paper›PMID 37897626›Full record

ReviewCerebellum (London, England)2024

Quantitative Speech Assessment in Ataxia-Consensus Recommendations by the Ataxia Global Initiative Working Group on Digital-Motor Markers.

Adam P Vogel, Anna Sobanska, Anoopum Gupta, Gessica Vasco, Marcus Grobe-Einsler, Susanna Summa, Stephanie Borel

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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

9 citing papers in PubMed, 13 citations in OpenAlex.

  1. Trial
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  4. Developing digital health technologies for frontotemporal degeneration.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
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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

7 authors at 6 institutions in 6 countries.

Adam P VogelCentre for Neuroscience of Speech, The University of Melbourne, Melbourne, Australia. vogela@unimelb.edu.au.ORCID https://orcid.org/0000-0002-3505-2631
Anna SobanskaDepartment of Clinical Neurophysiology, Institute of Psychiatry and Neurology, Warsaw, Poland.ORCID https://orcid.org/0000-0002-7129-913X
Anoopum GuptaDepartment of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Gessica VascoBambino Gesù Children's Hospital, IRCCS, 00050, Rome, Italy.ORCID https://orcid.org/0000-0001-9807-9578
Marcus Grobe-EinslerGerman Center for Neurodegenerative Diseases, Bonn, Germany.ORCID https://orcid.org/0000-0002-1808-2134
Susanna SummaBambino Gesù Children's Hospital, IRCCS, 00050, Rome, Italy.ORCID https://orcid.org/0000-0002-7416-4855
Stephanie BorelSorbonne Université, Paris Brain Institute (ICM Institut du Cerveau), AP-HP, INSERM, CNRS, University Hospital Pitié-Salpêtrière, F-75013, Paris, France.ORCID https://orcid.org/0000-0002-8597-9937
Bambino Gesù Children's Hospital · ITCentre National de la Recherche Scientifique · FRHarvard University · USInstitute of Psychiatry and Neurology · PLThe University of Melbourne · AUUniversity Hospital Bonn · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dysarthria is a common and debilitating symptom of many neurodegenerative diseases, including those resulting in ataxia. Changes to speech lead to significant reductions in quality of life, impacting the speaker in most daily activities. Recognition of its importance as an objective outcome measure in clinical trials for ataxia is growing. Its viability as an endpoint across the disease spectrum (i.e. pre-symptomatic onwards) means that trials can recruit ambulant individuals and later-stage individuals who are often excluded because of difficulty completing lower limb tasks. Here we discuss the key considerations for speech testing in clinical trials including hardware selection, suitability of tasks and their role in protocols for trials and propose a core set of tasks for speech testing in clinical trials. Test batteries could include forms suitable for remote short, sensitive and easy to use, with norms available in several languages. The use of artificial intelligence also could improve accuracy and automaticity of analytical pipelines in clinic and trials.

Indexed as

AtaxiaDysarthriaSpeechHumansAcousticsClinical trialsDysarthriaPatient-reported outcomeSpeech

Identifiers

PMID37897626
PMCPMC11102369
OpenAlexW4388007043

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.