Evidence map›Paper›PMID 36573559›Full record

ArticleMultiple sclerosis (Houndmills, Basingstoke, England)2023

Association of daily physical activity with brain volumes and cervical spinal cord areas in multiple sclerosis.

Valerie J Block, Shuiting Cheng, Jeremy Juwono, Richard Cuneo, Gina Kirkish, Amber M Alexander, Mahir Khan, Amit Akula, Eduardo Caverzasi, Nico Papinutto and 9 more

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Multiple sclerosis (Houndmills, Basingstoke, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.8field-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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Actionable Wearables Data for the Neurology Clinic: A Proof-of-Concept Tool.Annals of clinical and translational neurology · 2025
    Article
  5. Article
  6. Review
  7. 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

19 authors at 1 institution in 2 countries.

Valerie J BlockUCSF Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, USA/Department of Physical Therapy and Rehabilitation Science, University of California San Francisco, San Francisco, CA, USA.ORCID 0000-0001-6199-5484
Shuiting ChengUCSF Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, USA.
Jeremy JuwonoUCSF Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, USA.
Richard CuneoUCSF Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, USA.
Gina KirkishUCSF Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, USA.
Amber M AlexanderUCSF Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, USA.
Mahir KhanUCSF Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, USA.ORCID 0000-0002-7215-9585
Amit AkulaUCSF Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, USA.
Eduardo CaverzasiUCSF Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, USA/Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.
Nico PapinuttoUCSF Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, USA.
William A SternUCSF Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, USA.
Mark J PletcherDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA/Department of Medicine, University of California San Francisco, San Francisco, CA, USA.
Gregory M MarcusDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.
Jeffrey E OlginDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.
Stephen L HauserUCSF Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, USA.ORCID 0000-0002-4932-4001
Jeffrey M GelfandUCSF Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, USA.
Riley BoveUCSF Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, USA.ORCID 0000-0002-2034-8800
Bruce Ac CreeUCSF Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, USA.ORCID 0000-0001-7689-2533
Roland G HenryUCSF Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, USA/Department of Radiology, University of California San Francisco, San Francisco, CA, USA.
University of California, San Francisco · US

Funding

The Role of B cells in the Origin and Progression of Multiple SclerosisR35NS111644 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI STEPHEN L HAUSER · 2019 to 2026
$9.1M
NINDS NIH HHS R35 NS111644
6 · The paper itself

Abstract

backgroundRemote activity monitoring has the potential to evaluate real-world, motor function, and disability at home. The relationships of daily physical activity with spinal cord white matter and gray matter (GM) areas, multiple sclerosis (MS) disability and leg function, are unknown.

objectiveEvaluate the association of structural central nervous system pathology with ambulatory disability.

methodsFifty adults with progressive or relapsing MS with motor disability who could walk >2 minutes were assessed using clinician-evaluated, patient-reported outcomes, and quantitative brain and spinal cord magnetic resonance imaging (MRI) measures. Fitbit Flex2, worn on the non-dominant wrist, remotely assessed activity over 30 days. Univariate and multivariate analyses were performed to assess correlations between physical activity and other disability metrics.

resultsMean age was 53.3 years and median Expanded Disability Status Scale (EDSS) was 4.0. Average daily step counts (STEPS) were highly correlated with EDSS and walking measures. Greater STEPS were significantly correlated with greater C2-C3 spinal cord GM areas (ρ = 0.39,

conclusionThese results provide preliminary evidence that spinal cord GM area is a neuroanatomical substrate associated with STEPS. STEPS could serve as a proxy to alert clinicians and researchers to possible changes in structural nervous system pathology.

Indexed as

Cervical CordMotor DisordersMultiple SclerosisPersons with DisabilitiesAdultAtrophyBrainDisability EvaluationHumansMagnetic Resonance ImagingMiddle AgedSpinal CordWalkingactivity levelbrain MRIcervical MRIFitbitMultiple sclerosisremote monitoringspinal cord gray matter area

Identifiers

PMID36573559
PMCPMC9972237
OpenAlexW4312211781

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.