Evidence map›Paper›PMID 32899946›Full record

ArticleSensors (Basel, Switzerland)2020

Reliability and Repeatability Analysis of Indices to Measure Gait Deterioration in MS Patients during Prolonged Walking.

Juri Taborri, Valeria Studer, Paola Grossi, Laura Brambilla, Fabrizio Patanè, Maria Teresa Ferrò, Renato Mantegazza, Stefano Rossi

Open access · goldAbstract readControlled Clinical Trial
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 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 24% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. 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 5 institutions in 1 country.

Juri TaborriDepartment of Economics, Engineering, Society and Business Organization (DEIM), University of Tuscia, 01100 Viterbo, Italy.ORCID 0000-0002-8997-7605
Valeria StuderMultiple Sclerosis Center, Neurology Department, Martini Hospital, 10121 Turin, Italy.
Paola GrossiNeuroimmunology Center for Multiple Sclerosis, Cerebrovascular Department, ASST Crema, 52242 Crema, Italy.
Laura BrambillaOperating Units of Autoimmune and Neuromuscular Diseases, IRCCS Foundation Neurological Institute Carlo Besta, 20133 Milano, Italy.
Fabrizio PatanèDepartment of Engineering, Mech. Meas. and Microelectr.lab (M3lab), University Niccolò Cusano, 00166 Rome, Italy.
Maria Teresa FerròNeuroimmunology Center for Multiple Sclerosis, Cerebrovascular Department, ASST Crema, 52242 Crema, Italy.
Renato MantegazzaOperating Units of Autoimmune and Neuromuscular Diseases, IRCCS Foundation Neurological Institute Carlo Besta, 20133 Milano, Italy.
Stefano RossiDepartment of Economics, Engineering, Society and Business Organization (DEIM), University of Tuscia, 01100 Viterbo, Italy.ORCID 0000-0003-0006-7013
Azienda Ospedaliera Ospedale Maggiore · ITFondazione IRCCS Istituto Neurologico Carlo Besta · ITUniversità degli Studi della Tuscia · ITOspedale Martini · ITUniversity Niccolò Cusano · IT

Funding

Patient-Centered Outcomes Research Institute (PCORI) PRAG-MS
6 · The paper itself

Abstract

Gait deterioration caused by prolonged walking represents one of the main consequences of multiple sclerosis (MS). This study aims at proposing quantitative indices to measure the gait deterioration effects. The experimental protocol consisted in a 6-min walking test and it involved nine patients with MS and twenty-six healthy subjects. Pathology severity was assessed through the Expanded Disability Status Scale. Seven inertial units were used to gather lower limb kinematics. Gait variability and asymmetry were assessed by coefficient of variation (CoV) and symmetry index (SI), respectively. The evolution of ROM (range of motion), CoV, and SI was computed analyzing data divided into six 60-s subgroups. Maximum difference among subgroups and the difference between the first minute and the remaining five were computed. The indices were analyzed for intra- and inter-day reliability and repeatability. Correlation with clinical scores was also evaluated. Good to excellent reliability was found for all indices. The computed standard deviations allowed us to affirm the good repeatability of the indices. The outcomes suggested walking-related fatigue leads to an always more variable kinematics in MS, in terms of changes in ROM, increase of variability and asymmetry. The hip asymmetry strongly correlated with the clinical disability.

Indexed as

Severity of Illness IndexAdultAgedBiomechanical PhenomenaCase-Control StudiesDisability EvaluationDisease ProgressionExercise TestFatigueFemaleGaitGait Disorders, NeurologicHealth Status IndicatorsHumansMaleMiddle Aged6-min walking testfatiguemultiple sclerosisreliabilityrepeatabilitysynthetic indices

Identifiers

PMID32899946
PMCPMC7570495
OpenAlexW3083279708

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.