Evidence map›Paper›PMID 36502003›Full record

ArticleSensors (Basel, Switzerland)2022

Gait Variability to Phenotype Common Orthopedic Gait Impairments Using Wearable Sensors.

Junichi Kushioka, Ruopeng Sun, Wei Zhang, Amir Muaremi, Heike Leutheuser, Charles A Odonkor, Matthew Smuck

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.0field-weighted citation impact, top 28% 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

10 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
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  6. The effect of exercise-induced muscle fatigue on gait parameters among older adults: a systematic review and meta-analysis.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2025
    Review
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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

7 authors at 5 institutions in 3 countries.

Junichi KushiokaDepartment of Orthopaedic Surgery, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0002-0738-1569
Ruopeng SunDepartment of Orthopaedic Surgery, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0003-0738-3721
Wei ZhangLaboratory of Movement Analysis and Measurement, Ecole Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland.ORCID 0000-0002-6022-6832
Amir MuaremiNovartis Institutes for BioMedical Research, 4056 Basel, Switzerland.
Heike LeutheuserMachine Learning and Data Analytics Lab (MaD Lab), Department Artificial Intelligence in Biomedical Engineering (AIBE), Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91052 Erlangen, Germany.ORCID 0000-0001-9931-2271
Charles A OdonkorDepartment of Orthopedics and Rehabilitation, Division of Physiatry, Yale School of Medicine, New Haven, CT 06510, USA.ORCID 0000-0002-8280-4015
Matthew SmuckDepartment of Orthopaedic Surgery, Stanford University, Stanford, CA 94305, USA.
Stanford University · USÉcole Polytechnique Fédérale de Lausanne · CHFriedrich-Alexander-Universität Erlangen-Nürnberg · DENovartis (Switzerland) · CHYale University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

Mobility impairments are a common symptom of age-related degenerative diseases. Gait features can discriminate those with mobility disorders from healthy individuals, yet phenotyping specific pathologies remains challenging. This study aims to identify if gait parameters derived from two foot-mounted inertial measurement units (IMU) during the 6 min walk test (6MWT) can phenotype mobility impairment from different pathologies (Lumbar spinal stenosis (LSS)-neurogenic diseases, and knee osteoarthritis (KOA)-structural joint disease). Bilateral foot-mounted IMU data during the 6MWT were collected from patients with LSS and KOA and matched healthy controls (N = 30, 10 for each group). Eleven gait parameters representing four domains (pace, rhythm, asymmetry, variability) were derived for each minute of the 6MWT. In the entire 6MWT, gait parameters in all four domains distinguished between controls and both disease groups; however, the disease groups demonstrated no statistical differences, with a trend toward higher stride length variability in the LSS group (

Indexed as

GaitOsteoarthritis, KneeFootHumansLower ExtremityWalk Testgait impairmentgait variabilityknee osteoarthritislumbar spinal stenosiswearable IMU sensor

Identifiers

PMID36502003
PMCPMC9739785
OpenAlexW4310387345

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.