Evidence map›Paper›PMID 41730560›Full record

ArticleBMJ open2026

Vocal biomarkers for geriatric health assessment: a scoping review protocol.

Mehrdad Amir-Behghadami, Kamal Gholipour, Zeinab Mohammadzadeh

Abstract read
In one paragraph

Article in BMJ open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
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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.

Mehrdad Amir-BehghadamiStudent Research Committee (SRC), Tabriz University of Medical Sciences, Tabriz, Iran z.mohammadzadeh20@gmail.com behghadami.m@gmail.com.ORCID http://orcid.org/0000-0001-6723-6438
Kamal GholipourStudent Research Committee (SRC), Tabriz University of Medical Sciences, Tabriz, Iran.ORCID http://orcid.org/0000-0002-6595-4150
Zeinab MohammadzadehStudent Research Committee (SRC), Tabriz University of Medical Sciences, Tabriz, Iran z.mohammadzadeh20@gmail.com behghadami.m@gmail.com.ORCID http://orcid.org/0000-0002-2305-2802

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionGlobal ageing populations require accessible, non-invasive tools for early detection and monitoring of neurological chronic and neurodegenerative diseases. Current diagnostic methods face limitations including invasiveness, high costs and infrequent clinical assessments. The human voice has emerged as a promising digital biomarker, with vocal characteristics reflecting physiological and cognitive changes associated with conditions like dementia and Parkinson's disease. While artificial intelligence (AI) and machine learning have enabled sophisticated vocal analysis, the literature remains fragmented without comprehensive synthesis. This scoping review protocol delineates a systematic approach to collate and synthesise existing research on the application of AI-driven audio biomarkers for the detection and management of neurological diseases (eg, cognitive decline, Parkinson's disease, Alzheimer's, dementia and depression) in older adults aged 65 years and above. METHODS AND ANALYSIS: This scoping review will be conducted in accordance with the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines and the methodological framework proposed by Arksey and O'Malley, incorporating recent methodological advancements. The eligibility criteria for study selection will be formulated using the PCC (Population, Concept, Context) framework. A comprehensive literature search will be performed across several electronic databases, including PubMed/MEDLINE, Scopus, Web of Science, IEEE Xplore, Embase, Compendex, CINAHL, Scientific Information Database (SID), Magiran, IranMedex and Barakat Knowledge Network System (BKNS). The search will encompass peer-reviewed articles published in Persian and English from 1 January 2012 to 31 March 2026. Two independent reviewers will screen titles, abstracts and full texts and extract data according to the predefined PCC-based eligibility criteria. Discrepancies will be resolved through discussion or, if necessary, by consultation with a third reviewer. The results will be synthesised and presented narratively, accompanied by summary tables, charts and figures to address each research question. ETHICS AND DISSEMINATION: The Research Ethics Committee of Tabriz University of Medical Sciences approved the protocol for this scoping review (approval number: IR.TBZMED.VCR.REC.1404.223). They concluded that since the review involves only analysis of existing literature without direct patient involvement or clinical procedures, it meets the relevant ethical standards. Results from the review will be shared through peer-reviewed journals and conference presentations to provide valuable insights for researchers, clinicians and policymakers on the use of audio-based biomarkers in older adults. PROSPERO REGISTRATION NUMBER: Not registered.

Indexed as

Geriatric AssessmentVoiceAgedAgingArtificial IntelligenceBiomarkersHumansResearch DesignScoping Reviews as TopicBiomarkersArtificial IntelligenceGERIATRIC MEDICINEHealth informaticsInformation managementInformation technologyTelemedicine

Identifiers

PMID41730560
PMCPMC12931537

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.