Evidence map›Paper›PMID 41989602›Full record

ReviewHeart failure reviews2026

Voice recognition as an innovative method to identify and monitor heart failure - a review.

Amy S Fuller, Nduka C Okwose, Sarah J Charman, Alban E Voppel, Renae J Stefanetti, Amy Groenewegen, Annamaria Del Franco, Maria Tafelmeier, Andrej Preveden, Aleksandra Milovancev and 22 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Heart failure reviews, 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

32 authors.

Amy S FullerClinical Sciences and Translational Medicine Research Theme, Research Centre for Discoveries in Life Sciences, Coventry University, Coventry, UK.
Nduka C OkwoseClinical Sciences and Translational Medicine Research Theme, Research Centre for Discoveries in Life Sciences, Coventry University, Coventry, UK.
Sarah J CharmanTranslational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.
Alban E VoppelCentre of Excellence in Youth Mental Health, Douglas Mental Health University Institute, McGill University, Montreal, Canada.
Renae J StefanettiTranslational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.
Amy GroenewegenDepartment of General Practice & Nursing Science, Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht University, Utrecht, Netherlands.
Annamaria Del FrancoCareggi University Hospital, University of Florence, Florence, Italy.
Maria TafelmeierDepartment of Internal Medicine II, University Medical Centre Regensburg, Regensburg, Germany.
Andrej PrevedenFaculty of Medicine, University of Novi Sad, Novi Sad, Serbia.
Aleksandra MilovancevFaculty of Medicine, University of Novi Sad, Novi Sad, Serbia.
Duncan EdwardsPrimary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Anne P NelissenDepartment of General Practice & Nursing Science, Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht University, Utrecht, Netherlands.
Fausto BarloccoCareggi University Hospital, University of Florence, Florence, Italy.
Alessandra FornaroCareggi University Hospital, University of Florence, Florence, Italy.
Jose Luis ZamoranoHospital Universitario Ramón y Cajal, Madrid, Spain.
Massimo MilliCardiology and Electrophysiology Unit, Department of Medical Specialties, Azienda USL Toscana Centro, Santa Maria Nuova Hospital, Florence, Italy.
Laura SassoCareggi University Hospital, University of Florence, Florence, Italy.
Giulia TaborchiCareggi University Hospital, University of Florence, Florence, Italy.
Simone BartoliniCardiology and Electrophysiology Unit, Department of Medical Specialties, Azienda USL Toscana Centro, Santa Maria Nuova Hospital, Florence, Italy.
Serena FatucchiCardiology and Electrophysiology Unit, Department of Medical Specialties, Azienda USL Toscana Centro, Santa Maria Nuova Hospital, Florence, Italy.
Prithwish BanerjeeClinical Sciences and Translational Medicine Research Theme, Research Centre for Discoveries in Life Sciences, Coventry University, Coventry, UK.
Guy A MacGowanNewcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK.
Oscar FernandezNewcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK.
Marta Jimenez-Blanco BravoHospital Universitario Ramón y Cajal, Madrid, Spain.
Lars S MaierDepartment of Internal Medicine II, University Medical Centre Regensburg, Regensburg, Germany.
Iacopo OlivottoCareggi University Hospital, University of Florence, Florence, Italy.
Frans H RuttenDepartment of General Practice & Nursing Science, Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht University, Utrecht, Netherlands.
Jonathan MantPrimary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Lazar VelickiFaculty of Medicine, University of Novi Sad, Novi Sad, Serbia.
Petar M SeferovicDepartment of Cardiology, Faculty of Medicine, University of Belgrade, Serbian Academy of Sciences and Arts, Heart Failure Society of Serbia, Belgrade, Serbia.
Nenad FilipovicBioengineering Research and Development Center, BioIRC, Kragujevac, Serbia.
Djordje G JakovljevicClinical Sciences and Translational Medicine Research Theme, Research Centre for Discoveries in Life Sciences, Coventry University, Coventry, UK. djordje.jakovljevic@coventry.ac.uk.

Funding

Horizon Europe research and innovation 101080905UK Research and Innovation 10073472
6 · The paper itself

Abstract

Screening of heart failure (HF) remains suboptimal. However, vocal biomarkers are an emerging tool to screen for HF and predict adverse outcomes. This article is a literature review of the current evidence, exploring the use of vocal biomarkers to screen for HF and predict hospitalisation and mortality. Voice may be utilised as a time-efficient method for the screening of HF, risk stratification, and monitoring of disease progression. Vocal biomarkers such as pause ratio and artificial neural networks can screen for HF accurately in a case-control setting. Other vocal markers like maximum phonation time, creak percent are useful to monitor disease progression. Vocal biomarkers appear to match current predictors of one-year mortality, HF related decompensation and hospitalisation. The integration of vocal biomarkers assessment in HF healthcare is promising across primary and secondary care settings. Key challenges including health data protection, regulatory compliance, and user acceptance must be addressed before these tools can be fully integrated into HF clinical care pathway.

Indexed as

Heart FailureVoiceBiomarkersDisease ProgressionHumansMass ScreeningPrognosisRisk AssessmentBiomarkersHeart failureNovel techniqueRisk stratificationScreeningVocal biomarkers

Identifiers

PMID41989602
PMCPMC13086659

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.