A Multicenter Cross-sectional Study on Tinnitus Subtypes and Risk Factors
EHR-Based Risk Factors With Prediction Models for Tinnitus Subtypes: A Multicenter Cross-sectional Study
1 other identifier
observational
3,345
1 country
1
Brief Summary
Tinnitus affects an estimated 10-15% of the global population and can substantially impair quality of life, yet clinically actionable approaches for subtype identification and risk stratification remain limited. This multicenter, cross-sectional observational study will use de-identified electronic health record (EHR) data from three otolaryngology specialty hospitals in China to address these gaps. All extracted data will be de-identified with direct identifiers removed, and privacy safeguards will be implemented in accordance with institutional policies and applicable regulations to protect patient confidentiality.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Mar 2022
Longer than P75 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
March 1, 2022
CompletedPrimary Completion
Last participant's last visit for primary outcome
November 30, 2024
CompletedFirst Submitted
Initial submission to the registry
January 4, 2026
CompletedStudy Completion
Last participant's last visit for all outcomes
January 16, 2026
CompletedFirst Posted
Study publicly available on registry
February 3, 2026
CompletedFebruary 3, 2026
January 1, 2026
2.8 years
January 4, 2026
January 31, 2026
Conditions
Outcome Measures
Primary Outcomes (1)
Number of Patients in Each Tinnitus Subtype
The number of participants classified into each predefined tinnitus subtype based on an integrated diagnosis clinical classification framework.
baseline
Secondary Outcomes (2)
Adjusted odds ratios of risk factors associated with each tinnitus subtype
baseline
Accuracy of prediction models for identifying tinnitus subtype classification
baseline
Interventions
This is a multicenter, cross-sectional observational study using existing electronic health record data collected during routine clinical care.We will use retrospectively extracted electronic health record data from multiple otolaryngology specialty hospitals to identify risk factors and develop predictive models for tinnitus subtypes at a single index time point.
Eligibility Criteria
Patients with any type of tinnitus from three otolaryngology specialty hospitals in China
You may qualify if:
- ≥18 years old;
- Patients diagnosed with various types of tinnitus;
- Patients with available electronic medical records, including demographic and clinical information.
You may not qualify if:
- Patients with incomplete data;
- Patients with severe neurological;
- Patients with disorders that may confound tinnitus assessment.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Chongqing Renpin ENT. Hospital, Chinacollaborator
- Nanjing Renpin ENT. Hospital, Chinacollaborator
- Chengdu Renpin ENT. Hospital, Chinacollaborator
- Shanghai Jiao Tong University School of Medicinelead
Study Sites (1)
Chongqing Renpin ENT Hospital
Chongqing, China
Biospecimen
This is an observational study and no samples will be collected.
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Hongsheng Tan, Dr
Shanghai Jiao Tong University School of Medicne
Study Design
- Study Type
- observational
- Observational Model
- OTHER
- Time Perspective
- CROSS SECTIONAL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- professor
Study Record Dates
First Submitted
January 4, 2026
First Posted
February 3, 2026
Study Start
March 1, 2022
Primary Completion
November 30, 2024
Study Completion
January 16, 2026
Last Updated
February 3, 2026
Record last verified: 2026-01