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Prediction Models for Tinnitus Presence and the Impact of Tinnitus on Daily Life: A Systematic Review

The presence of tinnitus does not necessarily imply associated suffering. Prediction models on the impact of tinnitus on daily life could aid medical professionals to direct specific medical resources to those (groups of) tinnitus patients with specific levels of impact. Models of tinnitus presence...

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Detalles Bibliográficos
Autores principales: Rademaker, Maaike M., Meijers, Sebastiaan M., Smit, Adriana L., Stegeman, Inge
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9861218/
https://www.ncbi.nlm.nih.gov/pubmed/36675624
http://dx.doi.org/10.3390/jcm12020695
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author Rademaker, Maaike M.
Meijers, Sebastiaan M.
Smit, Adriana L.
Stegeman, Inge
author_facet Rademaker, Maaike M.
Meijers, Sebastiaan M.
Smit, Adriana L.
Stegeman, Inge
author_sort Rademaker, Maaike M.
collection PubMed
description The presence of tinnitus does not necessarily imply associated suffering. Prediction models on the impact of tinnitus on daily life could aid medical professionals to direct specific medical resources to those (groups of) tinnitus patients with specific levels of impact. Models of tinnitus presence could possibly identify risk factors for tinnitus. We systematically searched the PubMed and EMBASE databases for articles published up to January 2021. We included all studies that reported on multivariable prediction models for tinnitus presence or the impact of tinnitus on daily life. Twenty-one development studies were included, with a total of 31 prediction models. Seventeen studies made a prediction model for the impact of tinnitus on daily life, three studies made a prediction model for tinnitus presence and one study made models for both. The risk of bias was high and reporting was poor in all studies. The most used predictors in the final impact on daily life models were depression- or anxiety-associated questionnaire scores. Demographic predictors were most common in final presence models. No models were internally or externally validated. All published prediction models were poorly reported and had a high risk of bias. This hinders the usability of the current prediction models. Methodological guidance is available for the development and validation of prediction models. Researchers should consider the importance and clinical relevance of the models they develop and should consider validation of existing models before developing new ones.
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spelling pubmed-98612182023-01-22 Prediction Models for Tinnitus Presence and the Impact of Tinnitus on Daily Life: A Systematic Review Rademaker, Maaike M. Meijers, Sebastiaan M. Smit, Adriana L. Stegeman, Inge J Clin Med Systematic Review The presence of tinnitus does not necessarily imply associated suffering. Prediction models on the impact of tinnitus on daily life could aid medical professionals to direct specific medical resources to those (groups of) tinnitus patients with specific levels of impact. Models of tinnitus presence could possibly identify risk factors for tinnitus. We systematically searched the PubMed and EMBASE databases for articles published up to January 2021. We included all studies that reported on multivariable prediction models for tinnitus presence or the impact of tinnitus on daily life. Twenty-one development studies were included, with a total of 31 prediction models. Seventeen studies made a prediction model for the impact of tinnitus on daily life, three studies made a prediction model for tinnitus presence and one study made models for both. The risk of bias was high and reporting was poor in all studies. The most used predictors in the final impact on daily life models were depression- or anxiety-associated questionnaire scores. Demographic predictors were most common in final presence models. No models were internally or externally validated. All published prediction models were poorly reported and had a high risk of bias. This hinders the usability of the current prediction models. Methodological guidance is available for the development and validation of prediction models. Researchers should consider the importance and clinical relevance of the models they develop and should consider validation of existing models before developing new ones. MDPI 2023-01-16 /pmc/articles/PMC9861218/ /pubmed/36675624 http://dx.doi.org/10.3390/jcm12020695 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Systematic Review
Rademaker, Maaike M.
Meijers, Sebastiaan M.
Smit, Adriana L.
Stegeman, Inge
Prediction Models for Tinnitus Presence and the Impact of Tinnitus on Daily Life: A Systematic Review
title Prediction Models for Tinnitus Presence and the Impact of Tinnitus on Daily Life: A Systematic Review
title_full Prediction Models for Tinnitus Presence and the Impact of Tinnitus on Daily Life: A Systematic Review
title_fullStr Prediction Models for Tinnitus Presence and the Impact of Tinnitus on Daily Life: A Systematic Review
title_full_unstemmed Prediction Models for Tinnitus Presence and the Impact of Tinnitus on Daily Life: A Systematic Review
title_short Prediction Models for Tinnitus Presence and the Impact of Tinnitus on Daily Life: A Systematic Review
title_sort prediction models for tinnitus presence and the impact of tinnitus on daily life: a systematic review
topic Systematic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9861218/
https://www.ncbi.nlm.nih.gov/pubmed/36675624
http://dx.doi.org/10.3390/jcm12020695
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