Evidence map›Paper›PMID 34405267›Full record

ArticleJournal of neurology2022

Identifying falls remotely in people with multiple sclerosis.

Valerie J Block, Erica A Pitsch, Arpita Gopal, Chao Zhao, Mark J Pletcher, Gregory M Marcus, Jeffrey E Olgin, Jill Hollenbach, Riley Bove, Bruce A C Cree and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
2.6field-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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Sensors in Multiple Sclerosis.Current neurology and neuroscience reports · 2025
    Review
  5. Actionable Wearables Data for the Neurology Clinic: A Proof-of-Concept Tool.Annals of clinical and translational neurology · 2025
    Article
  6. Article
  7. Linking Pathogenesis to Fall Risk in Multiple Sclerosis.Archives of internal medicine research · 2025
    Article
  8. Article
  9. Brain hemodynamic responses and fall prediction in older adults with multiple sclerosis.Multiple sclerosis (Houndmills, Basingstoke, England) · 2024
    Article
  10. Article
  11. Life space assessment and falls in older adults with multiple sclerosis.Multiple sclerosis and related disorders · 2024
    Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Assessing fall risk in multiple sclerosis using patient-reported outcomes and wearable gait metrics.Multiple sclerosis journal - experimental, translational and clinical
    Article
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 1 institution in 1 country.

Valerie J BlockDepartment of Neurology, UCSF Weill Institute for Neurosciences, University of California San Francisco, 1651 4th Street, Box 3126, San Francisco, CA, 94143, USA. Valerie.Block@ucsf.edu.ORCID http://orcid.org/0000-0001-6199-5484
Erica A PitschDepartment of Physical Therapy and Rehabilitation Science, University of California San Francisco, San Francisco, USA.
Arpita GopalDepartment of Physical Therapy and Rehabilitation Science, University of California San Francisco, San Francisco, USA.
Chao ZhaoDepartment of Neurology, UCSF Weill Institute for Neurosciences, University of California San Francisco, 1651 4th Street, Box 3126, San Francisco, CA, 94143, USA.
Mark J PletcherDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, USA.
Gregory M MarcusDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, USA.
Jeffrey E OlginDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, USA.
Jill HollenbachDepartment of Neurology, UCSF Weill Institute for Neurosciences, University of California San Francisco, 1651 4th Street, Box 3126, San Francisco, CA, 94143, USA.
Riley BoveDepartment of Neurology, UCSF Weill Institute for Neurosciences, University of California San Francisco, 1651 4th Street, Box 3126, San Francisco, CA, 94143, USA.
Bruce A C CreeDepartment of Neurology, UCSF Weill Institute for Neurosciences, University of California San Francisco, 1651 4th Street, Box 3126, San Francisco, CA, 94143, USA.
Jeffrey M GelfandDepartment of Neurology, UCSF Weill Institute for Neurosciences, University of California San Francisco, 1651 4th Street, Box 3126, San Francisco, CA, 94143, USA. Jeffrey.gelfand@ucsf.edu.
University of California, San Francisco · US

Funding

Clinical and Transtional Science InstituteKL2TR000143 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GRANDIS, JENNIFER RUBIN · 2012 to 2015
$11.9M
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
NCATS NIH HHS KL2 TR000143NCATS NIH HHS KL2TR000143NINDS NIH HHS R35 NS111644
6 · The paper itself

Abstract

backgroundFalling is common in people with multiple sclerosis (MS) but tends to be under-ascertained and under-treated.

objectiveTo evaluate fall risk in people with MS.

methodsNinety-four people with MS, able to walk > 2 min with or without an assistive device (Expanded Disability Status Scale (EDSS ≤ 6.5) were recruited. Clinic-based measures were recorded at baseline and 1 year. Patient-reported outcomes (PROs), including a fall survey and the MS Walking Scale (MSWS-12), were completed at baseline, 1.5, 3, 6, 9, and 12 months. Average daily step counts (STEPS) were recorded using a wrist-worn accelerometer.

results50/94 participants (53.2%) reported falling at least once. Only 56% of participants who reported a fall on research questionnaires had medical-record documented falls. Fallers had greater disability [median EDSS 5.5 (IQR 4.0-6.0) versus 2.5 (IQR 1.5-4.0), p < 0.001], were more likely to have progressive MS (p = 0.003), and took fewer STEPS (mean difference - 1,979, p = 0.007) than Non-Fallers. Stepwise regression revealed MSWS-12 as a major predictor of future falls.

conclusionsFalling is common in people with MS, under-reported, and under-ascertained by neurologists in clinic. Multimodal fall screening in clinic and remotely may help improve patient care by identifying those at greatest risk, allowing for timely intervention and referral to specialized physical rehabilitation.

Indexed as

Multiple SclerosisMultiple Sclerosis, Chronic ProgressiveHumansPatient Reported Outcome MeasuresWalkingFallFallingMultiple sclerosisOutcome measurementQuality improvementRemote monitoring

Identifiers

PMID34405267
PMCPMC8370664
OpenAlexW3193638067

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.