Evidence map›Paper›PMID 36879025›Full record

ArticleNPJ digital medicine2023

Wearable device and smartphone data quantify ALS progression and may provide novel outcome measures.

Stephen A Johnson, Marta Karas, Katherine M Burke, Marcin Straczkiewicz, Zoe A Scheier, Alison P Clark, Satoshi Iwasaki, Amir Lahav, Amrita S Iyer, Jukka-Pekka Onnela and 1 more

Open access · goldAbstract read
In one paragraph

Article in NPJ digital medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 2 pooled it
9.9field-weighted citation impact, top 1% 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

28 citing papers in PubMed, 2 syntheses or guidelines pooled it, 48 citations in OpenAlex.

  1. Pooled it
  2. Smartphone-Based Hand Function Assessment: Systematic Review.Journal of medical Internet research · 2024
    Pooled it
  3. Observational
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  15. Observational
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  18. The use of digital tools in rare neurological diseases towards a new care model: a narrative review.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024
    Review
  19. Article
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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

11 authors at 3 institutions in 1 country.

Stephen A Johnson *Mayo Clinic, Department of Neurology, Scottsdale, AZ, USA. johnson.stephen2@mayo.edu.ORCID http://orcid.org/0000-0002-9058-4331
Marta Karas *Harvard T.H. Chan School of Public Health, Boston, MA, USA.ORCID http://orcid.org/0000-0001-5889-3970
Katherine M BurkeNeurological Clinical Research Institute and Sean M. Healey & AMG Center for ALS, Massachusetts General Hospital, Boston, MA, USA.ORCID http://orcid.org/0000-0002-5820-5880
Marcin StraczkiewiczHarvard T.H. Chan School of Public Health, Boston, MA, USA.ORCID http://orcid.org/0000-0002-8703-4451
Zoe A ScheierNeurological Clinical Research Institute and Sean M. Healey & AMG Center for ALS, Massachusetts General Hospital, Boston, MA, USA.ORCID http://orcid.org/0000-0003-1250-9368
Alison P ClarkNeurological Clinical Research Institute and Sean M. Healey & AMG Center for ALS, Massachusetts General Hospital, Boston, MA, USA.
Satoshi IwasakiMitsubishi Tanabe Pharma Holdings America, Inc, Jersey City, NJ, USA.
Amir LahavMitsubishi Tanabe Pharma Holdings America, Inc, Jersey City, NJ, USA.
Amrita S IyerNeurological Clinical Research Institute and Sean M. Healey & AMG Center for ALS, Massachusetts General Hospital, Boston, MA, USA.
Jukka-Pekka OnnelaHarvard T.H. Chan School of Public Health, Boston, MA, USA.
James D BerryNeurological Clinical Research Institute and Sean M. Healey & AMG Center for ALS, Massachusetts General Hospital, Boston, MA, USA.ORCID http://orcid.org/0000-0003-0898-6081
Massachusetts General Hospital · USHarvard University · USMayo Clinic in Arizona · US

Funding

Amyotrophic Lateral Sclerosis Association (ALS Association) 22-PDF-604
6 · The paper itself

Abstract

Amyotrophic lateral sclerosis (ALS) therapeutic development has largely relied on staff-administered functional rating scales to determine treatment efficacy. We sought to determine if mobile applications (apps) and wearable devices can be used to quantify ALS disease progression through active (surveys) and passive (sensors) data collection. Forty ambulatory adults with ALS were followed for 6-months. The Beiwe app was used to administer the self-entry ALS functional rating scale-revised (ALSFRS-RSE) and the Rasch Overall ALS Disability Scale (ROADS) surveys every 2-4 weeks. Each participant used a wrist-worn activity monitor (ActiGraph Insight Watch) or an ankle-worn activity monitor (Modus StepWatch) continuously. Wearable device wear and app survey compliance were adequate. ALSFRS-R highly correlated with ALSFRS-RSE. Several wearable data daily physical activity measures demonstrated statistically significant change over time and associations with ALSFRS-RSE and ROADS. Active and passive digital data collection hold promise for novel ALS trial outcome measure development.

Identifiers

PMID36879025
PMCPMC9987377
OpenAlexW4323310554

What OpenQuestion holds

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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.