Evidence map›Paper›PMID 42852967›Full record

ReviewJournal of Parkinson's disease2026

Technology to remotely capture key elements of swallowing and speech: State of the science in Parkinson's disease.

Jessica E Huber, Kevin Renz Ambrocio, Georgia A Malandraki

Abstract readReview
In one paragraph

Review in Journal of Parkinson's disease, 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

3 authors.

Jessica E HuberDepartment of Communicative Disorders and Sciences, University at Buffalo, Buffalo, NY, USA.ORCID 0000-0003-1046-2754
Kevin Renz AmbrocioDepartment of Speech, Language, and Hearing Sciences, Purdue University, West Lafayette, IN, USA.ORCID 0000-0003-4596-2898
Georgia A MalandrakiDepartment of Speech, Language, and Hearing Sciences, Purdue University, West Lafayette, IN, USA.ORCID 0000-0002-7599-7728

Funding

Diversity SupplementT32DC000030 · NIDCD · PURDUE UNIVERSITY WEST LAFAYETTE · PI Arielle Borovsky, Preeti M. Sivasankar · 1991 to 2026
$5.4M
Impact of wearable biofeedback for the rehabilitation and tele-rehabilitation of neurogenic dysphagiaR01AG086371 · NIA · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI Georgia Malandraki · 2024 to 2026
$1.6M
NIA NIH HHS R01 AG086371NIDCD NIH HHS T32 DC000030
6 · The paper itself

Abstract

Swallowing and speech impairments are common in Parkinson's disease (PD) and can significantly affect health and quality of life. Traditional methods for assessing and managing these functions rely on in-person visits and large, expensive equipment, which are inaccessible to many patients. Recent advances in health technologies offer opportunities for remote monitoring and assessment, enabling early detection, personalized intervention, and longitudinal tracking of swallowing and speech deficits in PD. This review synthesizes evidence on current and emerging technologies designed to remotely capture key elements of swallowing and speech in patients with PD. We present studies that develop and use wearable uni- and multi-modal sensor-based approaches, biofeedback devices, acoustic analysis through smartphones, and haptic cueing aimed at improving aspects of swallowing and speech. Additionally, we examine the integration of artificial intelligence for automated signal processing and predictive modeling, emphasizing validation studies and clinical feasibility. Challenges related to usability, data quality, adherence, data security, and standardization are discussed alongside opportunities for telehealth-driven care models. By identifying technological innovations and evidence gaps, this review provides a roadmap for future research and clinical implementation of remote swallowing and speech assessment in PD. These advancements have the potential to transform care, reduce healthcare burden, and improve patient outcomes through scalable, non-invasive, and patient-centered solutions for the management of dysphagia and dysarthria in PD.

Indexed as

digital healthParkinson's diseaseremote monitoringspeechswallowingtelehealthwearable sensors

Identifiers

PMID42852967
PMCPMC13652970

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.