Evidence map›Paper›PMID 42310670›Full record

SynthesisJournal of neuroengineering and rehabilitation2026

Real-world gait study of Parkinson's disease using wearable sensors: a systematic review.

Mona Michaud, Nicolas de l'Escalopier, Cyril Voisard, Laurent Oudre, Damien Ricard

Abstract readSystematic ReviewReview
In one paragraph

Synthesis in Journal of neuroengineering and rehabilitation, 2026. 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

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.

Mona MichaudSysnav, 72 rue Emile Loubet, 27200, Vernon, France. michaudmona@gmail.com.
Nicolas de l'EscalopierUniversité Paris Saclay, Université Paris Cité, ENS Paris Saclay, CNRS, SSA, INSERM, Centre Borelli, 91190, Gif-sur-Yvette, France.
Cyril VoisardUniversité Paris Saclay, Université Paris Cité, ENS Paris Saclay, CNRS, SSA, INSERM, Centre Borelli, 91190, Gif-sur-Yvette, France.
Laurent OudreUniversité Paris Saclay, Université Paris Cité, ENS Paris Saclay, CNRS, SSA, INSERM, Centre Borelli, 91190, Gif-sur-Yvette, France.
Damien RicardUniversité Paris Saclay, Université Paris Cité, ENS Paris Saclay, CNRS, SSA, INSERM, Centre Borelli, 91190, Gif-sur-Yvette, France.

Funding

Agence de l'innovation de Défense 2021870
6 · The paper itself

Abstract

backgroundNew technologies, such as wearable sensors, allow the quantitative assessment of gait alterations due to Parkinson's disease (PD) through Digital Mobility Outcomes (DMOs). These DMOs have the potential to complement traditional clinical assessments but must be relevant, reliable, and representative of the patient's overall condition. Real-world monitoring offers a valuable approach for this type of day-to-day evaluation of patients.

objectiveThis systematic review has four primary aims: 1) To identify trends in protocol design for real-world gait monitoring using wearables in patients with PD. 2) To detail the analysis of inertial data and the computation of DMOs. 3) To summarize the clinical scales and symptoms studied. 4) To outline trends in the conclusions and limitations reported by authors in this field.

methodsThree databases (MEDLINE via PubMed, Cochrane, and EMBASE) were systematically searched between September 1, 2013, and September 15, 2023. Eligibility criteria included studies involving adults with a PD diagnosis, the use of a wearable device with at least one accelerometer or gyroscope, and gait analysis conducted in real-world settings. RESULTS AND

conclusionSixty-three studies were selected. Overall, wearables successfully provide clinically meaningful information on gait impairment in patients with PD. Stride speed as a DMO is well-established and clinically meaningful, while other metrics, such as stride length, stride duration, and cadence, show great promise for routine clinical practice and research. However, the lack of consensus on the methods of investigation and the small sample sizes remain significant barriers that must be addressed to facilitate broader adoption in clinical practice and research.

Indexed as

GaitGait Disorders, NeurologicMonitoring, AmbulatoryParkinson DiseaseWearable Electronic DevicesDigital HealthHumansDaily clinicometricDigital featuresDMOsGaitIMUsParkinsonReal-world

Identifiers

PMID42310670
PMCPMC13520336

What OpenQuestion holds

Textmetadata
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.