ArticleFrontiers in neurology2017
Different Patterns of Hearing Loss among Tinnitus Patients: A Latent Class Analysis of a Large Sample.
Article in Frontiers in neurology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
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Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Genetic architecture distinguishes tinnitus from hearing loss.Nature communications · 2024Pooled it
- Tinnitus Phenotypes and Their Response to the Enriched Acoustic Environment (EAE) Treatment.Brain sciences · 2026Article
- Tinnitus Subtyping and Personalized Treatment via Audiometric and Psychometric Clustering.Yonsei medical journal · 2025Article
- Correlation of non-auditory comorbidities and hearing loss in chronic subjective tinnitus patients: a retrospective database study.Frontiers in neurology · 2025Article
- Tinnitus and Influencing Comorbidities.Laryngo- rhino- otologie · 2023Review
- REM Sleep Impairment May Underlie Sleep-Driven Modulations of Tinnitus in Sleep Intermittent Tinnitus Subjects: A Controlled Study.International journal of environmental research and public health · 2023Observational
- Comparing Clustering Methods Applied to Tinnitus within a Bootstrapped and Diagnostic-Driven Semi-Supervised Framework.Brain sciences · 2023Article
- Systems Medicine Approach for Tinnitus with Comorbid Disorders.Nutrients · 2022Article
- Hearing Aid Use Time Is Causally Influenced by Psychological Parameters in Mildly Distressed Patients with Chronic Tinnitus and Mild-to-Moderate Hearing Loss.Journal of clinical medicine · 2022Article
- A data-driven approach to clinical decision support in tinnitus retraining therapy.Frontiers in neuroinformatics · 2022Article
- Predicting the gender of individuals with tinnitus based on daily life data of the TrackYourTinnitus mHealth platform.Scientific reports · 2021Article
- Methodological Aspects of Randomized Controlled Trials for Tinnitus: A Systematic Review and How a Decision Support System Could Overcome Barriers.Journal of clinical medicine · 2021Review
- Prevalence of Tinnitus in an Aging Population and Its Relation to Age and Hearing Loss.Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery · 2021Article
- Multidisciplinary Tinnitus Research: Challenges and Future Directions From the Perspective of Early Stage Researchers.Frontiers in aging neuroscience · 2021Review
- A Review and a Framework of Variables for Defining and Characterizing Tinnitus Subphenotypes.Brain sciences · 2020Review
- Phenotyping chronic tinnitus patients using self-report questionnaire data: cluster analysis and visual comparison.Scientific reports · 2020Article
- Toward Personalized Tinnitus Treatment: An Exploratory Study Based on Internet Crowdsensing.Frontiers in public health · 2019Article
- Long-Term Efficacy of Audiologist-Guided Internet-Based Cognitive Behavior Therapy for Tinnitus.American journal of audiology · 2018Article
- Transition from Acute to Chronic Tinnitus: Predictors for the Development of Chronic Distressing Tinnitus.Frontiers in neurology · 2017Article
- The Effect of Comorbidity between Tinnitus and Dizziness on Perceived Handicap, Psychological Distress, and Quality of Life.Frontiers in neurology · 2017Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe heterogeneity of tinnitus is a major challenge for tinnitus research. Even if a complex interaction of many factors is involved in the etiology of tinnitus, hearing loss (HL) has been identified as the most relevant etiologic factor. Here, we used a data-driven approach to identify patterns of hearing function in a large sample of tinnitus patients presenting in a tinnitus clinic.
methodsData from 2,838 patients presenting at the Tinnitus Center of the University Regensburg between 2007 and 2014 have been analyzed. Standard audiometric data were frequency-wise categorized in four categories [a: normal hearing (0-20 dB HL); b: moderate HL (25-50 dB HL; representing outer hair cell loss); c: severe HL (>50 dB HL; representing outer and inner hair cell loss); d: no data available] and entered in a latent class analysis, a statistical method to find subtypes of cases in multivariate categorical data. To validate the clinical relevance of the identified latent classes, they were compared with respect to clinical and demographic characteristics of their members.
resultsThe classification algorithm identified eight distinct latent classes with an excellent separation. Patient classes differed with respect to demographic (e.g., age, gender) and clinical characteristics (e.g., tinnitus location, tinnitus severity, gradual, or abrupt onset, etc.). DISCUSSION: Our results demonstrate that data-driven categorization of hearing function seems to be a promising approach for profiling tinnitus patients, as it revealed distinct subtypes that reflect prototypic forms of HL and that differ in several relevant clinical characteristics.
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