Suppr超能文献

Severity Cut-Off Ranges for Auditory-Perceptual Evaluation Using Visual Analog Scales.

作者信息

Walden Patrick R

机构信息

Monmouth University, 400 Cedar Avenue, West Long Branch, NJ 07764.

出版信息

J Voice. 2025 Jan 31. doi: 10.1016/j.jvoice.2025.01.018.

Abstract

OBJECTIVES

This retrospective, observational analytic, cross-sectional research study aimed to establish cut-off scores for categorizing the severity of voice qualities on a 100-unit visual analog scale (VAS). The study investigated the VAS cut-off ranges corresponding to auditory-perceptual ratings of normal, mild, moderate, and severe severities from the GRBAS scale for overall severity, breathiness, roughness, and strain.

METHODS

The study utilized voice samples and ratings from the Perceptual Voice Qualities Database (PVQD). The database contains 296 audio samples, including sustained vowels and sentences, rated by 19 experienced voice clinicians. The raters used a 100-point VAS and the GRBAS scale to evaluate voice qualities. Receiver operator curves (ROC) were calculated to determine cut-off scores for each severity category, balancing a 90% sensitivity with a 10% allowable false-positive categorization.

RESULTS

Cut-off ranges were established for overall severity, breathiness, and roughness, demonstrating similar values across severities. The ranges were: Overall severity: normal (0-15), mild (16-39), moderate (40-69), severe (70-100). Breathiness: normal (0-14), mild (15-34), moderate (35-68), severe (69-100). Roughness: normal (0-13), mild (14-37), moderate (38-65), severe (66-100). For strain, only the normal range (0-15) could be determined with statistical significance.

CONCLUSIONS

This study provided clinically relevant cut-off values for severity categories on a VAS, enhancing communication with patients and facilitating the use of both sensitive and specific categorical measures in voice evaluation. The findings contribute to a more standardized and objective assessment of voice quality.

摘要

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验