Potential of acoustic voice analysis in diagnostics of noncommunicable diseases: a systematic review and meta-analysis
https://doi.org/10.15829/1728-8800-20254407
EDN: QEOUOE
Abstract
Aim. To determine the potential of using acoustic voice analysis parameters in diagnosis of noncommunicable diseases (NCDs).
Material and methods. The information search was carried out according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) in the PubMed, Google Scholar, Clinical Trials, Cyberleninka and eLibrary databases. Four publications, including six studies, were selected for the final analysis of full-text articles. These studies included acoustic voice analysis in diabetes type 1 and 2, asthma, chronic obstructive pulmonary disease, pneumonia. The meta-analysis assessed changes in voice frequency (Jitter) and amplitude (Shimmer) in patients with NCDs compared to healthy volunteers.
Results. The meta-analysis based on Jitter and Shimmer included 203 patients with NCDs and 132 healthy volunteers. Jitter in patients with NCDs was significantly higher compared to patients without diseases (standardized mean difference 2,23, 0,83-3,62, I2=97,03%, p=0,002). Shimmer in patients with the diseases under study also turned out to be significantly higher compared to patients without diseases (standardized mean difference 0,81, 0,11-1,52, I2=91,06%, p=0,024).
Conclusion. The current systematic review and meta-analysis demonstrated the possibility of using acoustic voice analysis in the diagnosis of NCDs.
About the Authors
A. A. Garanin
Samara State Medical University
Russian Federation
Russian Federation
Samara
O. Yu. Aidumova
Samara State Medical University
Russian Federation
Russian Federation
Samara
A. O. Rubanenko
Samara State Medical University
Russian Federation
Russian Federation
Samara
A. R. Khumorova
Samara State Medical University
Russian Federation
Russian Federation
Samara
A. V. Kolsanov
Samara State Medical University
Russian Federation
Russian Federation
Samara
References
1. Ermakova II. Correction of the voice and speech in children and adolescents. 2-nd edition. M.: Prosveschenie: "Educational literature", 1996. p. 143. (In Russ.)
2. Ngo QC, Motin MA, Pah ND, et al. Computerized analysis of speech and voice for Parkinson's disease: A systematic review. Comput Methods Programs Biomed. 2022;226:107133. doi:10.1016/j.cmpb.2022.107133.
3. Saeedi S, Hetjens S, Grimm MOW, et al. Acoustic Speech Analysis in Alzheimer's Disease: A Systematic Review and Meta-Analysis. J Prev Alzheimers Dis. 2024;11(6):1789-97. doi:10.14283/jpad.2024.132.
4. Chiaramonte R, Bonfiglio M. Acoustic analysis of voice in bulbar amyotrophic lateral sclerosis: a systematic review and metaanalysis of studies. Logoped Phoniatr Vocol. 2020;45(4):151-63. do i:10.1080/14015439.2019.1687748.
5. Amir O, Abraham WT, Azzam ZS, et al. Remote Speech Analysis in the Evaluation of Hospitalized Patients With Acute Decompensated Heart Failure. JACC: HEART FAILURE. 2022;10(1):41-9. doi:10.1016/j.jchf.2021.08.008.
6. Bringel KA, Leone DCMG, João Vitor L, et al. Voice Analysis and Neural Networks as a Clinical Decision Support System for Patients With Lung Diseases. Mayo Clin Proc Digital Health. 2024;2(3):36774. doi:10.1016/j.mcpdig.2024.06.006.
7. Saghiri MA, Vakhnovetsky J, Amanabi M, et al. Exploring the impact of type II diabetes mellitus on voice quality. Eur Arch Oto-RhinoLaryngol. 2024;281:2707-16. doi:10.1007/s00405-024-08485-4.
8. Ocal B, Tatar EC, Topta G, et al. Evaluation of Voice Quality in Patients With Vocal Fold Polyps: The Size of a Polyp Matters or Does it? J Voice. 2020;34(2):294-9. doi:10.1016/j.jvoice.2019.04.009.
9. Ho GY, Leonhard M, Denk-Linnert DM, et al. Pre- and intraoperative acoustic and functional assessment of the novel APrevent®
10. VOIS implant during routine medialization thyroplasty. Eur Arch Oto-Rhino-Laryngol. 2020;277:809-17. doi:10.1007/s00405-01905756-3.
11. Bogomilskiy MR, Radtsig EYu, Degtyareva DV. Features of acoustic voice analysis in children. Bulletin of RGMU. 2013;3(11):48-51. (In Russ.)
12. Liberati A, Altman DG, Tetzlaff J, et al. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration. BMJ. 2009;339:b2700. doi:10.1136/bmj.b2700.
13. Gölaç H, Atalik G, Türkcan AK, et al. Disease related changes in vocal parameters of patients with type 2 diabetes mellitus. Logoped Phoniatr Vocol. 2022;47(3):202-8. doi:10.1080/14015439.2021.1917653.
14. Kara I, Temiz F, Doganer A, et al. The efect of type 1 diabetes mellitus on voice in pediatric patients. Eur Arch Oto-RhinoLaryngol. 2023;280:269-75. doi:10.1007/s00405-022-07543-z.
15. Saeed AM, Riad NM, Osman NM, et al. Study of voice disorders in patients with bronchial asthma and chronic obstructive pulmonary disease. Egypt J Bronchol. 2018;12:20-6. doi:10.4103/ejb.ejb_34_17.
16. Hamdan AL, Daou CAZ, Hosri J, et al. Effect of Diabetes Mellitus Type 2 on Voice: A Systematic Review and Meta-Analysis. Folia Phoniatr Logop. 2024;76(3):219-231. doi:10.1159/000534271.
17. González CE, Batalla FN, Iglesias PM, et al. Dysphonia and other voice alterations associated with COVID-19: Systematic review. Acta Otorrinolaringol Esp (Engl Ed). 2024;75(4):252-9. doi:10.1016/j.otoeng.2024.02.005.
18. Kapetanidis P, Kalioras F, Tsakonas C, et al. Respiratory Diseases Diagnosis Using Audio Analysis and Artificial Intelligence: A Systematic Review. Sensors (Basel). 2024;24(4):1173. doi:10.3390/s24041173.
Supplementary files
What is already known about the subject?
- Acoustic parameters of the voice change in non-communicable diseases.
- Available literature data on this issue are few and contradictory.
What might this study add?
- According to the meta-analysis, in patients with noncommunicable diseases, changes in the voice frequency (Jitter) and amplitude (Shimmer) turned out to be significantly higher compared to patients without diseases.
Review
For citations:
Garanin A.A., Aidumova O.Yu., Rubanenko A.O., Khumorova A.R., Kolsanov A.V. Potential of acoustic voice analysis in diagnostics of noncommunicable diseases: a systematic review and meta-analysis. Cardiovascular Therapy and Prevention. 2025;24(7):4407. (In Russ.) https://doi.org/10.15829/1728-8800-20254407. EDN: QEOUOE
Views:
278
Email this article 
