Evidence map›Paper›PMID 40895711›Full record

ReviewCureus2025

Integrating Gait Analysis Systems in Clinical Rehabilitation Settings for Individuals With Lower Limb Amputation: A Narrative Review.

Xiaoning Yuan, Tawnee Sparling, David Carlisle, Shannon McGavin, Tiffany Riggleman, Emmanuel Cuevas, Shubham Ojha, Douglas G Smith, Riley Sheehan, Gabriel Kim

Erratum issuedAbstract readReview
In one paragraph

Review in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Xiaoning YuanPhysical Medicine and Rehabilitation, Uniformed Services University of the Health Sciences, Bethesda, USA.
Tawnee SparlingPhysical Medicine and Rehabilitation, Walter Reed National Military Medical Center, Bethesda, USA.
David CarlislePhysical Medicine and Rehabilitation, Uniformed Services University of the Health Sciences, Bethesda, USA.
Shannon McGavinPhysical Medicine and Rehabilitation, Uniformed Services University of the Health Sciences, Bethesda, USA.
Tiffany Rigglemanphys, Uniformed Services University of the Health Sciences, Bethesda, USA.
Emmanuel CuevasOrthopaedics, William Beaumont Army Medical Center, El Paso, USA.
Shubham OjhaPhysical Medicine and Rehabilitation, Uniformed Services University of the Health Sciences, Bethesda, USA.
Douglas G SmithOrthopaedics, University of Washington School of Medicine, Seattle, USA.
Riley SheehanPhysical Medicine and Rehabilitation, Uniformed Services University of the Health Sciences, Bethesda, USA.
Gabriel KimPhysical Medicine and Rehabilitation, Brian D. Allgood Army Community Hospital, Pyeongtaek, KOR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A primary goal of rehabilitative care for individuals with lower limb amputation (LLA) is to restore safe, effective gait. Traditional gait analysis, both observational and quantitative, assesses gait deviations in individuals with LLA to inform clinical management. Observational gait analysis performed in clinical settings can be highly subjective, whereas quantitative gait analysis is often costly, time-consuming, and therefore impractical to perform in point-of-care clinical settings. To enhance clinical decision-making for individuals with LLA, it is beneficial to identify commercially available gait analysis systems that can be efficiently and effectively utilized in clinical settings. This narrative review presents categories of commercially available gait analysis systems, their capabilities, and prior implementation for gait analysis of individuals with LLA in clinical settings. Twenty-three articles of commercially available gait analysis systems (instrumented treadmills, instrumented walkways, inertial measurement unit-based, and markerless motion capture (MMC)) for the LLA population were included. This review of clinical applications of commercially available gait analysis systems identifies gaps in current clinical practice and offers recommendations to incorporate point-of-care gait analysis within the prosthetic phase of rehabilitation for individuals with LLA.

Indexed as

clinical gait analysislower limb amputationmilitaryprostheticsrehabilitation

Identifiers

PMID40895711
PMCPMC12398296

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.