Evidence map›Paper›PMID 40992769›Full record

ArticleYonsei medical journal2025

Tinnitus Subtyping and Personalized Treatment via Audiometric and Psychometric Clustering.

Su Jin Kim, Seung-Ho Shin, Sung Wan Byun, Ho Yun Lee

Abstract read
In one paragraph

Article in Yonsei medical journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Su Jin KimDepartment of Otorhinolaryngology-Head and Neck Surgery, Kyung Hee University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0003-1754-4138
Seung-Ho ShinDepartment of Otorhinolaryngology-Head and Neck Surgery, Ewha Womans University School of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-8093-2673
Sung Wan ByunDepartment of Otorhinolaryngology-Head and Neck Surgery, Ewha Womans University School of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-5458-6401
Ho Yun LeeDepartment of Otorhinolaryngology-Head and Neck Surgery, Ewha Womans University School of Medicine, Seoul, Korea. hoyun1004@gmail.com.ORCID https://orcid.org/0000-0002-9590-3477

Funding

National Research Foundation of Korea RS-2024-00352526
6 · The paper itself

Abstract

purposeWe aimed to identify distinct tinnitus subtypes and determine optimal treatment approaches based on comprehensive audiometric and psychometric assessments. MATERIALS AND

methodsCluster analysis was performed on data from 311 tinnitus patients. Assessments included pure tone average (PTA), uncomfortable loudness levels, Tinnitus Handicap Inventory (THI), visual analog scales for subjective symptoms, Beck Depression Inventory (BDI), and Beck Anxiety Inventory. K-means clustering identified three distinct tinnitus subtypes. Multiple regression analyses were conducted to identify predictors of treatment response.

resultsThree distinct subtypes were identified: Cluster 1 (41.8%, n=130): severe tinnitus with normal hearing (THI=61.2±20.6, PTA_R=14.7±8.1 dB); Cluster 2 (20.9%, n=65): hearing loss-dominant tinnitus (THI=53.6±22.4, PTA_R=35.4±15.9 dB); Cluster 3 (37.3%, n=116): mild psychosomatic tinnitus (THI=30.1±18.5, PTA_R=13.8±9.1 dB). Treatment efficacy varied significantly by cluster (

conclusionWe confirmed tinnitus heterogeneity with three distinct subtypes showing differential treatment responses. Audiometric testing provides objective criteria for patient classification and treatment selection. A precision medicine approach with cluster-specific strategies may improve tinnitus management.

Indexed as

PsychometricsTinnitusAdultAgedAudiometryAudiometry, Pure-ToneCluster AnalysisFemaleHearing LossHumansMaleMiddle AgedPrecision Medicineaudiometrycluster analysisprecision medicineTinnitustreatment outcome

Identifiers

PMID40992769
PMCPMC12479191

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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 Socratic graph.