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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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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. |
format | Online Article Text |
id | pubmed-9861218 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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