Evidence map›Paper›PMID 36675624›Full record

ReviewJournal of clinical medicine2023

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

Maaike M Rademaker, Sebastiaan M Meijers, Adriana L Smit, Inge Stegeman

Abstract readReview
In one paragraph

Review in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Modifiable risk factors for tinnitus: A Mendelian randomization study.The Journal of international medical research · 2026
    Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Maaike M RademakerDepartment of Otorhinolaryngology, Head and Neck Surgery, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands.ORCID 0000-0002-4904-1394
Sebastiaan M MeijersDepartment of Otorhinolaryngology, Head and Neck Surgery, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands.
Adriana L SmitDepartment of Otorhinolaryngology, Head and Neck Surgery, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands.ORCID 0000-0001-9126-9969
Inge StegemanDepartment of Otorhinolaryngology, Head and Neck Surgery, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

prediction modelprediction model validationtinnitustinnitus disorder

Identifiers

PMID36675624
PMCPMC9861218

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.