Evidence map›Paper›PMID 35166925›Full record

ArticleJournal of neurology2022

Sensor-based gait analyses of the six-minute walk test identify qualitative improvement in gait parameters of people with multiple sclerosis after rehabilitation.

Pål Berg-Hansen, Stine Marit Moen, Andreas Austeng, Victor Gonzales, Thomas Dahl Klyve, Henrik Negård, Trine Margrethe Seeberg, Elisabeth Gulowsen Celius, Frédéric Meyer

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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.3field-weighted citation impact, top 11% 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, 17 citations in OpenAlex.

  1. Article
  2. Sensors in Multiple Sclerosis.Current neurology and neuroscience reports · 2025
    Review
  3. Article
  4. Article
  5. Article
  6. 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

9 authors at 3 institutions in 1 country.

Pål Berg-Hansen *Department of Neurology, Oslo University Hospital, Ullevål, Sognsvannsveien 20, 0372, Oslo, Norway. pal.berg-hansen@ous-research.no.ORCID http://orcid.org/0000-0003-0925-8879
Stine Marit Moen *MS Center Hakadal, Hakadal, Norway.
Andreas AustengDepartment of Informatics, University of Oslo, Oslo, Norway.
Victor GonzalesSINTEF Digital, Smart Sensor Systems, Oslo, Norway.
Thomas Dahl KlyveMS Center Hakadal, Hakadal, Norway.
Henrik NegårdMS Center Hakadal, Hakadal, Norway.
Trine Margrethe SeebergSINTEF Digital, Smart Sensor Systems, Oslo, Norway.
Elisabeth Gulowsen CeliusDepartment of Neurology, Oslo University Hospital, Ullevål, Sognsvannsveien 20, 0372, Oslo, Norway.
Frédéric MeyerDepartment of Informatics, University of Oslo, Oslo, Norway.
Oslo University Hospital · NOSINTEF · NOUniversity of Oslo · NO

Funding

Norges Forskningsråd 270791
6 · The paper itself

Abstract

The aim of this work was to determine whether wearable inertial measurement units (IMUs) could detect gait improvements across different disability groups of people with Multiple Sclerosis (pwMS) by the six-minute walk test (6MWT) during a rehabilitation stay in a specialized rehabilitation center. Forty-six pwMS and 20 healthy controls (HC) were included in the study. They performed the 6MWT with two inertial measurement units (IMUs) placed on the feet. Thirty-two of the pwMS were retested at the end of the stay. PwMS were divided in a mild-disability and a moderate-disability group. The 6MWT was divided in six sections of 1 min each for technical analysis, and linear mixed models were used for statistical analyses. The comparison between the two disability groups and HC highlighted significant differences for each gait parameter (all p < 0.001). The crossing effect between the test-retest and the two disability groups showed greater improvement for the moderate-disability group. Finally, the gait parameter with the higher effect size, allowing the best differentiation between the disability groups, was the foot flat ratio (R

Indexed as

Multiple SclerosisPersons with DisabilitiesGaitGait AnalysisHumansWalkingWalk TestBiomechanicsGait analysisInertial measurement unitsMultiple sclerosisSix-minute walkWearable sensors

Identifiers

PMID35166925
PMCPMC8853386
OpenAlexW4213123043

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.