Evidence map›Paper›PMID 33138057›Full record

ArticleSensors (Basel, Switzerland)2020

The Danger of Walking with Socks: Evidence from Kinematic Analysis in People with Progressive Multiple Sclerosis.

Su-Chun Huang, Gloria Dalla Costa, Marco Pisa, Lorenzo Gregoris, Giulia Leccabue, Martina Congiu, Giancarlo Comi, Letizia Leocani

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Smart Sensors for Healthcare and Medical Applications.Sensors (Basel, Switzerland) · 2021
    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

8 authors at 1 institution in 1 country.

Su-Chun HuangNeurorehabilitation Department and Experimental Neurophysiology Unit, INSPE-Institute of Experimental Neurology, San Raffaele Hospital, 20132 Milan, Italy.ORCID 0000-0002-7359-6736
Gloria Dalla CostaNeurorehabilitation Department and Experimental Neurophysiology Unit, INSPE-Institute of Experimental Neurology, San Raffaele Hospital, 20132 Milan, Italy.
Marco PisaNeurorehabilitation Department and Experimental Neurophysiology Unit, INSPE-Institute of Experimental Neurology, San Raffaele Hospital, 20132 Milan, Italy.
Lorenzo GregorisVita-Salute San Raffaele University, Via Olgettina, 58, 20132 Milan, Italy.
Giulia LeccabueVita-Salute San Raffaele University, Via Olgettina, 58, 20132 Milan, Italy.
Martina CongiuNeurorehabilitation Department and Experimental Neurophysiology Unit, INSPE-Institute of Experimental Neurology, San Raffaele Hospital, 20132 Milan, Italy.
Giancarlo ComiNeurorehabilitation Department and Experimental Neurophysiology Unit, INSPE-Institute of Experimental Neurology, San Raffaele Hospital, 20132 Milan, Italy.
Letizia LeocaniNeurorehabilitation Department and Experimental Neurophysiology Unit, INSPE-Institute of Experimental Neurology, San Raffaele Hospital, 20132 Milan, Italy.
Vita-Salute San Raffaele University · IT

Funding

Fodazione Italiana Sclerosi Multipla cod. 2018/B/4
6 · The paper itself

Abstract

Multiple sclerosis (MS) is characterized by gait impairments and severely impacts the quality of life. Technological advances in biomechanics offer objective assessments of gait disabilities in clinical settings. Here we employed wearable sensors to measure electromyography (EMG) and body acceleration during walking and to quantify the altered gait pattern between people with progressive MS (PwPMS) and healthy controls (HCs). Forty consecutive patients attending our department as in-patients were examined together with fifteen healthy controls. All subjects performed the timed 10 min walking test (T10MW) using a wearable accelerator and 8 electrodes attached to bilateral thighs and legs so that body acceleration and EMG activity were recorded. The T10MWs were recorded under three conditions: standard (wearing shoes), reduced grip (wearing socks) and increased cognitive load (backward-counting dual-task). PwPMS showed worse kinematics of gait and increased muscle coactivation than controls at both the thigh and leg levels. Both reduced grip and increased cognitive load caused a reduction in the cadence and velocity of the T10MW, which were correlated with one another. A higher coactivation index at the thigh level of the more affected side was positively correlated with the time of the T10MW (r = 0.5,

Indexed as

ClothingGait AnalysisMultiple SclerosisWalkingAccelerationAdultBiomechanical PhenomenaElectromyographyFemaleHumansMaleMiddle AgedQuality of Lifeacceleratorgait analysisinertial sensorkinematicsmultiple sclerosissurface EMGT10MW

Identifiers

PMID33138057
PMCPMC7662955
OpenAlexW3097078597

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.