Evidence map›Paper›PMID 40386395›Full record

ArticleResearch square2025

Lateral weight transfer deficits reveal balance vulnerability in early-stage Parkinson's Disease during trip-perturbed walking.

Anke Hua, Ruth Akinlosotu, Kelly Westlake

Abstract readPreprint
In one paragraph

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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Anke HuaUniversity of Maryland, Baltimore.
Ruth AkinlosotuUniversity of Maryland, Baltimore.
Kelly WestlakeUniversity of Maryland, Baltimore.

Funding

University of Maryland Claude D. Pepper Older Americans Independence Center (UM-OAIC)P30AG028747 · NIA · UNIVERSITY OF MARYLAND BALTIMORE · PI ALICE S. RYAN · 2006 to 2026
$28.9M
Motor learning of protective responses to balance perturbations in persons with Parkinson's DiseaseR36AG080272 · NIA · UNIVERSITY OF MARYLAND BALTIMORE · PI AKINLOSOTU, RUTH YETUNDE · 2023 to 2024
$86k
NIA NIH HHS P30 AG028747NIA NIH HHS R36 AG080272
6 · The paper itself

Abstract

Background: Individuals with early-stage Parkinson's disease (PD) typically exhibit normal balance during clinical assessments; but subtle impairments may exist during dynamic tasks. Objective: This study investigates reactive balance responses to trip perturbations during walking in early-stage PD compared to age-matched controls. Methods: Sixteen individuals with early-stage PD (Hoehn & Yahr 2-2.5) and sixteen age-matched controls walked on a treadmill, experiencing an unpredictable trip perturbation. Whole-body kinematics were analyzed to compute margin of stability (MoS) and lateral body center of mass (COM) displacement trajectories across four reactive steps. Statistical comparisons evaluated group differences in MoS and COM displacement, while correlation analyses assessed relationships between stability and lateral COM displacement. Results: By the third recovery step, controls had regained stability, while PD participants displayed significant variability. Half of the PD group exhibited negative MoS values, indicating instability, while the other half maintained stability comparable to controls. Moderate correlations between third-step MoS and lateral COM displacement ( Conclusions: This study reveals variability in reactive balance capacity among early-stage PD participants, with nearly half showing subclinical deficits in lateral COM control. Trip-perturbed walking could serve as a promising biomarker for early balance impairments, potentially guiding proactive fall prevention strategies in PD management.

Indexed as

BalanceFallsGaitParkinson’s Disease

Identifiers

PMID40386395
PMCPMC12083652

What OpenQuestion holds

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Registered trials

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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.