Predicting Treatment Effectiveness for Tinnitus with Sound Therapy
Author Information
Author(s): Yuan Hao, Ma Peng-Wei, Chen Jia-Wei, Wang Wei-Long, Gao Wei, Lu Pei-Heng, Ding Xue-Rui, Lun Yu-Qiang, Wang Zi, Lu Lian-Jun
Primary Institution: Tangdu Hospital, Air Force Medical University, Xi’an, China
Hypothesis
Can clinical characteristics predict the effectiveness of compound sound therapy in tinnitus patients?
Conclusion
The predictive model can help doctors make better treatment decisions for tinnitus patients using sound therapy.
Supporting Evidence
- Patients with different therapeutic effects showed significant differences in tinnitus characteristics.
- FBT, RIT, and tinnitus frequency were identified as independent risk factors for treatment efficacy.
- The predictive model had an AUC of 0.766, indicating good predictive ability.
Takeaway
This study looked at how to tell if sound therapy will help people with tinnitus by checking their symptoms and responses to tests.
Methodology
A retrospective analysis of 991 tinnitus patients who received sound therapy, with statistical tests to identify predictors of treatment efficacy.
Potential Biases
Potential confounding factors due to the retrospective nature of the study.
Limitations
The study is retrospective and conducted at a single institution, which may limit the generalizability of the findings.
Participant Demographics
Patients with subjective tinnitus, including various ages and both genders.
Statistical Information
P-Value
p=0.000
Confidence Interval
95% CI=0.725–0.807
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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