Basic principles of risk score formulation in medicine

Detalhes bibliográficos
Autor(a) principal: Ronsoni,Rafael
Data de Publicação: 2020
Outros Autores: Predabon,Bruna, Leiria,Tiago, Lima,Gustavo de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista da Associação Médica Brasileira (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-42302020000400516
Resumo: SUMMARY Risk models play a vital role in monitoring health care performance. Despite extensive research and the widespread use of risk models in medicine, there are methodologic problems. We reviewed the methodology used for risk models in medicine. The findings suggest that many risk models are developed in an ad hoc manner. Important aspects such as the selection of risk factors, handling of missing values, and size of the data sample used for model development are not dealt with adequately. Methodologic details presented in publications are often sparse and unclear. Model development and validation processes are not always linked to the clinical aim of the model, which may affect their clinical validity. We make some suggestions in this review for improving methodology and reporting.
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spelling Basic principles of risk score formulation in medicineLogistic modelsRisk assessmentMethodologyMedicineSUMMARY Risk models play a vital role in monitoring health care performance. Despite extensive research and the widespread use of risk models in medicine, there are methodologic problems. We reviewed the methodology used for risk models in medicine. The findings suggest that many risk models are developed in an ad hoc manner. Important aspects such as the selection of risk factors, handling of missing values, and size of the data sample used for model development are not dealt with adequately. Methodologic details presented in publications are often sparse and unclear. Model development and validation processes are not always linked to the clinical aim of the model, which may affect their clinical validity. We make some suggestions in this review for improving methodology and reporting.Associação Médica Brasileira2020-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-42302020000400516Revista da Associação Médica Brasileira v.66 n.4 2020reponame:Revista da Associação Médica Brasileira (Online)instname:Associação Médica Brasileira (AMB)instacron:AMB10.1590/1806-9282.66.4.516info:eu-repo/semantics/openAccessRonsoni,RafaelPredabon,BrunaLeiria,TiagoLima,Gustavo deeng2020-06-10T00:00:00Zoai:scielo:S0104-42302020000400516Revistahttps://ramb.amb.org.br/ultimas-edicoes/#https://old.scielo.br/oai/scielo-oai.php||ramb@amb.org.br1806-92820104-4230opendoar:2020-06-10T00:00Revista da Associação Médica Brasileira (Online) - Associação Médica Brasileira (AMB)false
dc.title.none.fl_str_mv Basic principles of risk score formulation in medicine
title Basic principles of risk score formulation in medicine
spellingShingle Basic principles of risk score formulation in medicine
Ronsoni,Rafael
Logistic models
Risk assessment
Methodology
Medicine
title_short Basic principles of risk score formulation in medicine
title_full Basic principles of risk score formulation in medicine
title_fullStr Basic principles of risk score formulation in medicine
title_full_unstemmed Basic principles of risk score formulation in medicine
title_sort Basic principles of risk score formulation in medicine
author Ronsoni,Rafael
author_facet Ronsoni,Rafael
Predabon,Bruna
Leiria,Tiago
Lima,Gustavo de
author_role author
author2 Predabon,Bruna
Leiria,Tiago
Lima,Gustavo de
author2_role author
author
author
dc.contributor.author.fl_str_mv Ronsoni,Rafael
Predabon,Bruna
Leiria,Tiago
Lima,Gustavo de
dc.subject.por.fl_str_mv Logistic models
Risk assessment
Methodology
Medicine
topic Logistic models
Risk assessment
Methodology
Medicine
description SUMMARY Risk models play a vital role in monitoring health care performance. Despite extensive research and the widespread use of risk models in medicine, there are methodologic problems. We reviewed the methodology used for risk models in medicine. The findings suggest that many risk models are developed in an ad hoc manner. Important aspects such as the selection of risk factors, handling of missing values, and size of the data sample used for model development are not dealt with adequately. Methodologic details presented in publications are often sparse and unclear. Model development and validation processes are not always linked to the clinical aim of the model, which may affect their clinical validity. We make some suggestions in this review for improving methodology and reporting.
publishDate 2020
dc.date.none.fl_str_mv 2020-04-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-42302020000400516
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1806-9282.66.4.516
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dc.publisher.none.fl_str_mv Associação Médica Brasileira
publisher.none.fl_str_mv Associação Médica Brasileira
dc.source.none.fl_str_mv Revista da Associação Médica Brasileira v.66 n.4 2020
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