Evidence map›Paper›PMID 40225121›Full record

ArticleFrontiers in bioengineering and biotechnology2025

Gait adaptations in step length and push-off force during walking with functional asymmetry.

Tomislav Baček, Yufan Xu, Liuhua Peng, Denny Oetomo, Ying Tan

Abstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Tomislav BačekSchool of Electrical, Mechanical and Infrastructure Engineering Faculty of Engineering and Information Technology, The University of Melbourne, Parkville, VIC, Australia.
Yufan XuFaculty of Science, The University of Melbourne, Parkville, VIC, Australia.
Liuhua PengFaculty of Science, The University of Melbourne, Parkville, VIC, Australia.
Denny OetomoSchool of Electrical, Mechanical and Infrastructure Engineering Faculty of Engineering and Information Technology, The University of Melbourne, Parkville, VIC, Australia.
Ying TanSchool of Electrical, Mechanical and Infrastructure Engineering Faculty of Engineering and Information Technology, The University of Melbourne, Parkville, VIC, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human walking is highly adaptable, allowing individuals to maintain efficiency and stability across diverse conditions. However, how gait adapts to functional asymmetry remains poorly understood. This study addresses this gap by employing a within-subject design to isolate the effect of functional asymmetry using a unilateral knee constraint to emulate hemiparetic gait. This approach eliminates inter-individual variability present in previous studies. A dataset of 19 participants walking across 30 conditions was used to examine these adaptations in step length and push-off force in both absolute terms and symmetry metrics. Results reveal that functional asymmetry disproportionately impacts propulsion, with constrained-leg force decreasing significantly at higher speed, while step length symmetry remains stable. This suggests a prioritisation of spatial over kinetic symmetry, likely to optimise walking energetics and maintain anterior-posterior balance. Statistical models demonstrated good within-dataset performance but limited generalisability across dataset predictions, emphasising the challenges of applying models across studies of different designs. These findings highlight critical limitations in applying statistical models trained on healthy persons to patient populations and provide insights into key biomechanical adaptations that could inform individualised biofeedback strategies for hemiparetic patients. Understanding individual compensations for unilateral deficits could help refine rehabilitation interventions that target propulsion deficits and optimise gait symmetry.

Indexed as

cross-dataset gait predictionsfunctional gait asymmetrypush-off force dynamicsstatistical gait modellingstep length adaptations

Identifiers

PMID40225121
PMCPMC11985528

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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.