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Making sense of breast cancer risk estimates.
O'Quigley, John.
Afiliação
  • O'Quigley J; Department of Statistical Science, University College London, London, UK.
Genet Epidemiol ; 48(3): 141-147, 2024 04.
Article em En | MEDLINE | ID: mdl-38334222
ABSTRACT
Individual probabilistic assessments on the risk of cancer, primary or secondary, will not be understood by most patients. That is the essence of our arguments in this paper. Greater understanding can be achieved by extensive, intensive, and detailed counseling. But since probability itself is a concept that easily escapes our everyday intuition-consider the famous Monte Hall paradox-then it would also be wise to advise patients and potential patients, to not put undue weight on any probabilistic assessment. Such assessments can be of value to the epidemiologist in the investigation of different potential etiologies describing cancer evolution or to the clinical trialist as a way to maximize design efficiency. But to an ordinary individual we cannot anticipate that these assessments will be correctly interpreted.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama Tipo de estudo: Etiology_studies / Risk_factors_studies Limite: Female / Humans Idioma: En Revista: Genet Epidemiol Assunto da revista: EPIDEMIOLOGIA / GENETICA MEDICA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama Tipo de estudo: Etiology_studies / Risk_factors_studies Limite: Female / Humans Idioma: En Revista: Genet Epidemiol Assunto da revista: EPIDEMIOLOGIA / GENETICA MEDICA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Reino Unido