Evidence map›Paper›PMID 37988887›Full record

ArticleGait & posture2024

Reliability and minimal detectable change of stiffness and other mechanical properties of the ankle joint in standing and walking.

Luis H Cubillos, Elliott J Rouse, Thomas E Augenstein, Varun Joshi, Edward S Claflin, Chandramouli Krishnan

Abstract read
In one paragraph

Article in Gait & posture, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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. Article
  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

6 authors.

Luis H CubillosDepartment of Physical Medicine and Rehabilitation, Michigan Medicine, Ann Arbor, MI, USA; Robotics Department, University of Michigan, Ann Arbor, MI, USA.
Elliott J RouseRobotics Department, University of Michigan, Ann Arbor, MI, USA; Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI, USA.
Thomas E AugensteinDepartment of Physical Medicine and Rehabilitation, Michigan Medicine, Ann Arbor, MI, USA; Robotics Department, University of Michigan, Ann Arbor, MI, USA.
Varun JoshiDepartment of Physical Medicine and Rehabilitation, Michigan Medicine, Ann Arbor, MI, USA; Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI, USA; School of Kinesiology, University of Michigan, Ann Arbor, MI, USA.
Edward S ClaflinDepartment of Physical Medicine and Rehabilitation, Michigan Medicine, Ann Arbor, MI, USA.
Chandramouli KrishnanDepartment of Physical Medicine and Rehabilitation, Michigan Medicine, Ann Arbor, MI, USA; Robotics Department, University of Michigan, Ann Arbor, MI, USA; Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI, USA; School of Kinesiology, University of Michigan, Ann Arbor, MI, USA; Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA; Department of Physical Therapy, University of Michigan-Flint, Flint, MI, USA. Electronic address: mouli@umich.edu.

Funding

Functional implications of stroke and Botulinum Neurotoxin on ankle stiffness and viscosity during gaitR01HD111567 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHANDRAMOULI KRISHNAN, Elliott J Rouse · 2023 to 2026
$2.5M
NICHD NIH HHS R01 HD111567
6 · The paper itself

Abstract

backgroundAnkle joint stiffness and viscosity are fundamental mechanical descriptions that govern the movement of the body and impact an individual's walking ability. Hence, these internal properties of a joint have been increasingly used to evaluate the effects of pathology (e.g., stroke) and in the design and control of robotic and prosthetic devices. However, the reliability of these measurements is currently unclear, which is important for translation to clinical use. RESEARCH QUESTION: Can we reliably measure the mechanical impedance parameters of the ankle while standing and walking?

methodsEighteen able-bodied individuals volunteered to be tested on two different days separated by at least 24 h. Participants received several small random ankle dorsiflexion perturbations while standing and during the stance phase of walking using a custom-designed robotic platform. Three-dimensional motion capture cameras and a 6-component force plate were used to quantify ankle joint motions and torque responses during normal and perturbed conditions. Ankle mechanical impedance was quantified by computing participant-specific ensemble averages of changes in ankle angle and torque due to perturbation and fitting a second-order parametric model consisting of stiffness, viscosity, and inertia. The test-retest reliability of each parameter was assessed using intraclass correlation coefficients (ICCs). We also computed the minimal detectable change (MDC) for each impedance parameter to establish the smallest amount of change that falls outside the measurement error of the instrument.

resultsIn standing, the reliability of stiffness, viscosity, and inertia was good to excellent (ICCs=0.67-0.91). During walking, the reliability of stiffness and viscosity was good to excellent (ICCs=0.74-0.84) while that of inertia was fair to good (ICCs=0.47-0.68). The MDC for a single subject ranged from 20%- 65% of the measurement mean but was higher (>100%) for inertia during walking. SIGNIFICANCE: Results indicate that dynamic measures of ankle joint impedance were generally reliable and could serve as an adjunct clinical tool for evaluating gait impairments.

Indexed as

Ankle JointWalkingAnkleBiomechanical PhenomenaHumansReproducibility of ResultsStanding PositionBiomechanicsJoint stiffnessNeural controlRehabilitationRobotStroke

Identifiers

PMID37988887
PMCPMC10854263

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.