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

prediction model prediction model validation tinnitus tinnitus disorder

Journal

Journal of clinical medicine
ISSN: 2077-0383
Titre abrégé: J Clin Med
Pays: Switzerland
ID NLM: 101606588

Informations de publication

Date de publication:
16 Jan 2023
Historique:
received: 16 11 2022
revised: 27 12 2022
accepted: 03 01 2023
entrez: 21 1 2023
pubmed: 22 1 2023
medline: 22 1 2023
Statut: epublish

Résumé

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.

Identifiants

pubmed: 36675624
pii: jcm12020695
doi: 10.3390/jcm12020695
pmc: PMC9861218
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

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Auteurs

Maaike M Rademaker (MM)

Department of Otorhinolaryngology, Head and Neck Surgery, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands.
UMC Utrecht Brain Center, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands.

Sebastiaan M Meijers (SM)

Department of Otorhinolaryngology, Head and Neck Surgery, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands.
UMC Utrecht Brain Center, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands.

Adriana L Smit (AL)

Department of Otorhinolaryngology, Head and Neck Surgery, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands.
UMC Utrecht Brain Center, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands.

Inge Stegeman (I)

Department of Otorhinolaryngology, Head and Neck Surgery, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands.
UMC Utrecht Brain Center, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands.

Classifications MeSH