The disproportionate impact of pre-test probability estimation errors: an analysis across different pre-test probability contexts

Accurate estimation of pre-test probability is essential for the validity of Bayesian diagnostic reasoning. Objective and evidence-based approaches to pre-test probability estimation are necessary to minimize diagnostic errors and to enhance the reliability of clinical decision-making.

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Publication Details

Journal
Diagnosis
Published
2025-09-01
DOI
https://doi.org/10.1515/dx-2025-0033
Primary Topic
Meta-analysis and systematic reviews
Type
article
Field-Weighted Citation Impact
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article

The disproportionate impact of pre-test probability estimation errors: an analysis across different pre-test probability contexts

José Nunes de Alencar, M. Souza
Diagnosis
Meta-analysis and systematic reviews
article

The disproportionate impact of pre-test probability estimation errors: an analysis across different pre-test probability contexts

José Nunes de Alencar, M. Souza
article en

Abstract

Accurate estimation of pre-test probability is essential for the validity of Bayesian diagnostic reasoning. Objective and evidence-based approaches to pre-test probability estimation are necessary to minimize diagnostic errors and to enhance the reliability of clinical decision-making.

Diagnosis
Hospital do Servidor Público Estadual (BR), Instituto Dante Pazzanese de Cardiologia (BR)
Openalex Percentile: Top 77%
Meta-analysis and systematic reviews
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