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A systematic review of digital technology to evaluate motor function and disease progression in motor neuron disease

Amyotrophic lateral sclerosis (ALS) is the most common subtype of motor neuron disease (MND). The current gold-standard measure of progression is the ALS Functional Rating Scale—Revised (ALS-FRS(R)), a clinician-administered questionnaire providing a composite score on physical functioning. Technolo...

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Autores principales: Beswick, Emily, Fawcett, Thomas, Hassan, Zack, Forbes, Deborah, Dakin, Rachel, Newton, Judith, Abrahams, Sharon, Carson, Alan, Chandran, Siddharthan, Perry, David, Pal, Suvankar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9363141/
https://www.ncbi.nlm.nih.gov/pubmed/35945397
http://dx.doi.org/10.1007/s00415-022-11312-7
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author Beswick, Emily
Fawcett, Thomas
Hassan, Zack
Forbes, Deborah
Dakin, Rachel
Newton, Judith
Abrahams, Sharon
Carson, Alan
Chandran, Siddharthan
Perry, David
Pal, Suvankar
author_facet Beswick, Emily
Fawcett, Thomas
Hassan, Zack
Forbes, Deborah
Dakin, Rachel
Newton, Judith
Abrahams, Sharon
Carson, Alan
Chandran, Siddharthan
Perry, David
Pal, Suvankar
author_sort Beswick, Emily
collection PubMed
description Amyotrophic lateral sclerosis (ALS) is the most common subtype of motor neuron disease (MND). The current gold-standard measure of progression is the ALS Functional Rating Scale—Revised (ALS-FRS(R)), a clinician-administered questionnaire providing a composite score on physical functioning. Technology offers a potential alternative for assessing motor progression in both a clinical and research capacity that is more sensitive to detecting smaller changes in function. We reviewed studies evaluating the utility and suitability of these devices to evaluate motor function and disease progression in people with MND (pwMND). We systematically searched Google Scholar, PubMed and EMBASE applying no language or date restrictions. We extracted information on devices used and additional assessments undertaken. Twenty studies, involving 1275 (median 28 and ranging 6–584) pwMND, were included. Sensor type included accelerometers (n = 9), activity monitors (n = 4), smartphone apps (n = 4), gait (n = 3), kinetic sensors (n = 3), electrical impedance myography (n = 1) and dynamometers (n = 2). Seventeen (85%) of studies used the ALS-FRS(R) to evaluate concurrent validity. Participant feedback on device utility was generally positive, where evaluated in 25% of studies. All studies showed initial feasibility, warranting larger longitudinal studies to compare device sensitivity and validity beyond ALS-FRS(R). Risk of bias in the included studies was high, with a large amount of information to determine study quality unclear. Measurement of motor pathology and progression using technology is an emerging, and promising, area of MND research. Further well-powered longitudinal validation studies are needed. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00415-022-11312-7.
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spelling pubmed-93631412022-08-10 A systematic review of digital technology to evaluate motor function and disease progression in motor neuron disease Beswick, Emily Fawcett, Thomas Hassan, Zack Forbes, Deborah Dakin, Rachel Newton, Judith Abrahams, Sharon Carson, Alan Chandran, Siddharthan Perry, David Pal, Suvankar J Neurol Review Amyotrophic lateral sclerosis (ALS) is the most common subtype of motor neuron disease (MND). The current gold-standard measure of progression is the ALS Functional Rating Scale—Revised (ALS-FRS(R)), a clinician-administered questionnaire providing a composite score on physical functioning. Technology offers a potential alternative for assessing motor progression in both a clinical and research capacity that is more sensitive to detecting smaller changes in function. We reviewed studies evaluating the utility and suitability of these devices to evaluate motor function and disease progression in people with MND (pwMND). We systematically searched Google Scholar, PubMed and EMBASE applying no language or date restrictions. We extracted information on devices used and additional assessments undertaken. Twenty studies, involving 1275 (median 28 and ranging 6–584) pwMND, were included. Sensor type included accelerometers (n = 9), activity monitors (n = 4), smartphone apps (n = 4), gait (n = 3), kinetic sensors (n = 3), electrical impedance myography (n = 1) and dynamometers (n = 2). Seventeen (85%) of studies used the ALS-FRS(R) to evaluate concurrent validity. Participant feedback on device utility was generally positive, where evaluated in 25% of studies. All studies showed initial feasibility, warranting larger longitudinal studies to compare device sensitivity and validity beyond ALS-FRS(R). Risk of bias in the included studies was high, with a large amount of information to determine study quality unclear. Measurement of motor pathology and progression using technology is an emerging, and promising, area of MND research. Further well-powered longitudinal validation studies are needed. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00415-022-11312-7. Springer Berlin Heidelberg 2022-08-09 2022 /pmc/articles/PMC9363141/ /pubmed/35945397 http://dx.doi.org/10.1007/s00415-022-11312-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/ Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Review
Beswick, Emily
Fawcett, Thomas
Hassan, Zack
Forbes, Deborah
Dakin, Rachel
Newton, Judith
Abrahams, Sharon
Carson, Alan
Chandran, Siddharthan
Perry, David
Pal, Suvankar
A systematic review of digital technology to evaluate motor function and disease progression in motor neuron disease
title A systematic review of digital technology to evaluate motor function and disease progression in motor neuron disease
title_full A systematic review of digital technology to evaluate motor function and disease progression in motor neuron disease
title_fullStr A systematic review of digital technology to evaluate motor function and disease progression in motor neuron disease
title_full_unstemmed A systematic review of digital technology to evaluate motor function and disease progression in motor neuron disease
title_short A systematic review of digital technology to evaluate motor function and disease progression in motor neuron disease
title_sort systematic review of digital technology to evaluate motor function and disease progression in motor neuron disease
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9363141/
https://www.ncbi.nlm.nih.gov/pubmed/35945397
http://dx.doi.org/10.1007/s00415-022-11312-7
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