Evidence map›Paper›PMID 31431348›Full record

ArticleJournal of biomechanics2019

Subject-specific responses to an adaptive ankle prosthesis during incline walking.

Erik P Lamers, Maura E Eveld, Karl E Zelik

Open access · greenAbstract read
In one paragraph

Article in Journal of biomechanics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 21% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. A review of user needs to drive the development of lower limb prostheses.Journal of neuroengineering and rehabilitation · 2022
    Pooled it
  2. Motion Analysis of a Frontal Plane Adaptable Prosthetic Foot.Journal of prosthetics and orthotics : JPO · 2024
    Article
  3. Article
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  12. Patient-Preferred Prosthetic Ankle-Foot Alignment for Ramps and Level-Ground Walking.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2021
    Article
  13. Review
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

3 authors at 1 institution in 1 country.

Erik P LamersDepartment of Mechanical Engineering, Vanderbilt University, Nashville, TN, USA.
Maura E EveldDepartment of Mechanical Engineering, Vanderbilt University, Nashville, TN, USA. Electronic address: maura.e.eveld@vanderbilt.edu.
Karl E ZelikDepartment of Mechanical Engineering, Vanderbilt University, Nashville, TN, USA; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA; Department of Physical Medicine & Rehabilitation, Vanderbilt University, Nashville, TN, USA.
Vanderbilt University · US

Funding

Interdisciplinary Engineering Career Development Center in Movement and Rehabilitation SciencesK12HD073945 · NICHD · NORTHWESTERN UNIVERSITY AT CHICAGO · PI DEWALD, JULIUS P, REINKENSMEYER, DAVID JAY · 2012 to 2021
$7.9M
NICHD NIH HHS K12 HD073945
6 · The paper itself

Abstract

Individuals with lower-limb amputation often have difficulty walking on slopes, in part due to limitations of conventional prosthetic feet. Conventional prostheses have fixed ankle set-point angles and cannot fully replicate able-bodied ankle dynamics. Microprocessor-controlled ankles have been developed to help overcome these limitations. The objective of this study was to characterize how the slope adaptation feature of a microprocessor-controlled ankle affected individual prosthesis user gait biomechanics during sloped walking. Previous studies on similar microprocessor-controlled ankles have focused on group-level results (inter-subject mean), but did not report individual subject results. Our study builds upon prior work and provides new insight by presenting subject-specific results and investigating to what extent individual responses agree with the group-level results. We performed gait analysis on seven individuals with unilateral transtibial amputation while they walked on a 7.5° incline with a recently redesigned microprocessor-controlled ankle that adjusts ankle set-point angle to the slope. We computed gait kinematics and kinetics, and compared how users walked with vs. without this set-point adjustment. The microprocessor-controlled ankle increased minimum toe clearance for all subjects. Despite the microprocessor-controlled ankle behaving similarly for each user, we observed marked differences in individual responses. For instance, two users switched from a forefoot landing pattern with the microprocessor-controlled ankle locked at neutral angle to rearfoot landing when the microprocessor-controlled ankle adapted to the slope, while two maintained a forefoot and three maintained a rearfoot landing pattern across conditions. Changes in knee angle and moment were also subject-specific. Individual user responses were often not well represented by inter-subject mean. Although the prevailing experimental paradigm in prosthetic gait analysis studies is to focus on group-level analysis, our findings call attention to the high inter-subject variability which may necessitate alternative experimental approaches to assess prosthetic interventions.

Indexed as

AmputeesProsthesis DesignAdultAmputation, SurgicalAnkleAnkle JointArtificial LimbsBiomechanical PhenomenaFemaleFootGaitHumansJoint ProsthesisKineticsKneeKnee JointAmputationBiomechanicsGait analysisInclineMicroprocessor ankleProstheses

Identifiers

PMID31431348
PMCPMC8777384
OpenAlexW2966862320

What OpenQuestion 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 OpenQuestion graph.