Evidence map›Paper›PMID 41984908›Full record

ArticlePloS one2026

Retraining gait in Parkinson's Disease via a personalised app: A study protocol.

Conor Wall, Peter McMeekin, Victoria Hetherington, Rosie Morris, Rodrigo Vitorio, Richard Walker, Alan Godfrey

Registry-linked trialAbstract readClinical Trial Protocol
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06941779 (CuePD), which is not on this map. 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.

NCT06941779 nacompletednot on this map

CuePD: Investigating the Effect of Personalised Auditory Cueing on Gait in Parkinson's Disease

TypeinterventionalSponsorNorthumbria UniversityRan2024 to 2026Enrolled60ConditionsParkinson&#39, s Disease (PD)ArmsCueing
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

7 authors.

Conor WallSchool of Computer Science, Northumbria University, Newcastle upon Tyne, United Kingdom.
Peter McMeekinSchool of Healthcare and Nursing Sciences, Northumbria University, Newcastle Upon Tyne, United Kingdom.
Victoria HetheringtonCumbria Northumberland Tyne and Wear NHS Foundation Trust, Newcastle upon Tyne, United Kingdom.
Rosie MorrisSchool of Sport, Exercise and Rehabilitation, Northumbria University, Newcastle upon Tyne, United Kingdom.
Rodrigo VitorioSchool of Sport, Exercise and Rehabilitation, Northumbria University, Newcastle upon Tyne, United Kingdom.
Richard WalkerNorthumbria Healthcare NHS Foundation Trust, North Shields, United Kingdom.
Alan GodfreySchool of Computer Science, Northumbria University, Newcastle upon Tyne, United Kingdom.ORCID https://orcid.org/0000-0003-4049-9291

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Parkinson's disease (PD) is a progressive neurological disorder that often leads to gait impairments and an increased risk of falls, negatively impacting quality of life. Inertial-based wearables have extended gait evaluation beyond clinical settings, but their technical integration and general accessibility hinder widespread adoption. Smartphones, equipped with inertial sensors, present a scalable approach for gait assessment and retraining/rehabilitation. Auditory cueing, specifically music, has shown promise to retrain gait, yet its use and uptake is often limited by a lack of personalisation. This paper outlines an exploratory and experimental protocol to evaluate CuePD, a smartphone application/app that delivers near real-time gait assessment and personalised auditory cues (including music) for gait retraining in people with PD (PwPD). The protocol characterises beneficial and non-beneficial responses to different cueing strategies and presents separate analysis for the technical validation and gait response outcomes to reduce interpretive ambiguity between measurement performance and behavioural effects. Specifically, the protocol presents: 1) validation of CuePD's spatio-temporal gait characteristics in a controlled laboratory setting; 2) process to understand the usefulness of various auditory cues (metronome beats, instrumental music, and vocal music) to improve gait stability (i.e., increase gait speed and stride length while reducing gait variability); 3) evaluation of acceptance and preference of PwPD for personalised music cues; and 4) relationship between PwPD's musicality and their ability to adhere to auditory cues. Findings from the study will inform the suitability of gait retraining via smartphone-based app technology, personalised to the individual. Personalisation (gait characteristics and music) may potentially encourage long-term engagement for gait retraining which could lead to reduce falls and improved quality of life for PwPD. By explicitly accounting for individual variability, this protocol aims to clarify for whom and under what conditions auditory cueing is appropriate. Future work should systematically evaluate this approach as responses to auditory and/or music-based cueing in PwPD are heterogeneous with possible neutral or adverse effects, e.g., cognitive overload or exacerbation of freezing. This trial is registered at ClinicalTrials.gov (NCT06941779).

Indexed as

GaitMobile ApplicationsParkinson DiseaseClinical Trials as TopicCuesFemaleHumansMaleMulticenter Studies as TopicMusicQuality of LifeSmartphone

Identifiers

PMID41984908
PMCPMC13082699

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.