ArticleBMJ open2022
Study protocol for using a smartphone application to investigate speech biomarkers of Parkinson's disease and other synucleinopathies: SMARTSPEECH.
Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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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.
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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.
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Who cites it
8 citing papers in PubMed, 23 citations in OpenAlex.
- Large language model analysis of real-world phone calls reveals prodromal and progressive biomarker of parkinsonism: A two-year proof-of-concept study.PLOS digital health · 2026Article
- Speech Biomarkers From Smartphone Calls Track Progression in REM Sleep Behavior Disorder and Parkinson's Disease.Annals of neurology · 2026Article
- Digital speech biomarkers can measure acute effects of levodopa in Parkinson's disease.NPJ Parkinson's disease · 2025Article
- Speech and language biomarkers for Parkinson's disease prediction, early diagnosis and progression.NPJ Parkinson's disease · 2025Review
- Evaluation of mobile applications related to patients with Parkinson's disease based on their essential features and capabilities.BMC medical informatics and decision making · 2024Article
- Collecting Self-reported Physical Activity and Posture Data Using Audio-based Ecological Momentary Assessment.Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies · 2024Article
- Using voice biomarkers for frailty classification.GeroScience · 2024Article
- Development of an Open-source and Lightweight Sensor Recording Software System for Conducting Biomedical Research: Technical Report.JMIR formative research · 2023Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionEarly identification of Parkinson's disease (PD) in its prodromal stage has fundamental implications for the future development of neuroprotective therapies. However, no sufficiently accurate biomarkers of prodromal PD are currently available to facilitate early identification. The vocal assessment of patients with isolated rapid eye movement sleep behaviour disorder (iRBD) and PD appears to have intriguing potential as a diagnostic and progressive biomarker of PD and related synucleinopathies. METHODS AND ANALYSIS: Speech patterns in the spontaneous speech of iRBD, early PD and control participants' voice calls will be collected from data acquired via a developed smartphone application over a period of 2 years. A significant increase in several aspects of PD-related speech disorders is expected, and is anticipated to reflect the underlying neurodegeneration processes. ETHICS AND DISSEMINATION: The study has been approved by the Ethics Committee of the General University Hospital in Prague, Czech Republic and all the participants will provide written, informed consent prior to their inclusion in the research. The application satisfies the General Data Protection Regulation law requirements of the European Union. The study findings will be published in peer-reviewed journals and presented at international scientific conferences.
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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.