Survival analyses in cardiovascular research, part I: the essentials

[Abstract] This review provides a practical guide to the essentials of survival analysis and their reporting in cardiovascular studies, although most of its key content can be extrapolated to other medical fields. This is the first in a series of 2 educational articles laying the groundwork to addre...

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Detalhes bibliográficos
Autores: Rosselló, Xavier, González-Del-Hoyo, Maribel
Tipo de documento: artigo
Data de publicação:2022
País:España
Recursos:Conselleria de Salut i Consum del Govern de les Illes Balears
Repositório:Docusalut
Idioma:inglês
OAI Identifier:oai:docusalut.com:20.500.13003/20153
Acesso em linha:https://hdl.handle.net/20.500.13003/20153
Access Level:Acceso aberto
Palavra-chave:Randomized Controlled Trials as Topic
Survival Analysis
Observational Studies as Topic
Análisis de Supervivencia
Estudios Observacionales como Asunto
Ensayos Clínicos Controlados Aleatorios como Asunto
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spelling Survival analyses in cardiovascular research, part I: the essentialsAnálisis de supervivencia en investigación cardiovascular, una guía prácticaRosselló, XavierGonzález-Del-Hoyo, MaribelRandomized Controlled Trials as TopicSurvival AnalysisObservational Studies as TopicAnálisis de SupervivenciaEstudios Observacionales como AsuntoEnsayos Clínicos Controlados Aleatorios como Asunto[Abstract] This review provides a practical guide to the essentials of survival analysis and their reporting in cardiovascular studies, although most of its key content can be extrapolated to other medical fields. This is the first in a series of 2 educational articles laying the groundwork to address the most relevant statistical issues in survival analyses, which will smoothly drive the reader from the most basic analyses to the most complex situations. The focus will be on the type and shape of survival data, and the most common statistical methods, such as nonparametric, parametric and semiparametric models. Their adequacy, interpretation, advantages and disadvantages are illustrated by examples from the field of cardiovascular research. This article ends with a set of recommendations to guide the strategy of survival analyses for a randomized clinical trial and observational studies. Other topics, such as competing risks, multistate models and recurrent-event methods will be addressed in the second article.[Resumen] Esta revisión establece una guía práctica que comprende los conceptos básicos de los análisis de supervivencia y su aplicación en el estudio de las enfermedades cardiovasculares, si bien gran parte del contenido puede extrapolarse a otras ramas de la medicina. Este es el primero de dos artículos académicos que sientan las bases para abordar las principales cuestiones metodológicas empleadas en estudios de supervivencia, y guían al lector, desde los análisis más básicos hasta los más complejos.Esta revisión se centra en el tipo y forma de los datos de supervivencia, así comoen los métodosestadísticos más utilizados, como las pruebas no paramétricas, paramétricas y semiparamétricas. La interpretación y valoración de la idoneidad de dichos métodos, así como sus ventajas e inconvenientes, son ilustradas con estudios del ámbito de las enfermedades cardiovasculares. El artículo concluye aportando un conjunto de recomendaciones para guiar en la estrategia del análisis de supervivencia, tanto en el contexto de un ensayo clínico aleatorizado como en el de estudio observacionales. En la segunda revisiónse abordarán temas como el modelo de riesgos competitivos, el modelo de eventos recurrentes y los modelos multiestado.Elsevier20222022-01-0120222022-01-01research articlehttp://purl.org/coar/resource_type/c_2df8fbb1info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/20.500.13003/20153reponame:Docusalutinstname:Conselleria de Salut i Consum del Govern de les Illes BalearsInglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:docusalut.com:20.500.13003/201532026-06-22T12:44:07Z
dc.title.none.fl_str_mv Survival analyses in cardiovascular research, part I: the essentials
Análisis de supervivencia en investigación cardiovascular, una guía práctica
title Survival analyses in cardiovascular research, part I: the essentials
spellingShingle Survival analyses in cardiovascular research, part I: the essentials
Rosselló, Xavier
Randomized Controlled Trials as Topic
Survival Analysis
Observational Studies as Topic
Análisis de Supervivencia
Estudios Observacionales como Asunto
Ensayos Clínicos Controlados Aleatorios como Asunto
title_short Survival analyses in cardiovascular research, part I: the essentials
title_full Survival analyses in cardiovascular research, part I: the essentials
title_fullStr Survival analyses in cardiovascular research, part I: the essentials
title_full_unstemmed Survival analyses in cardiovascular research, part I: the essentials
title_sort Survival analyses in cardiovascular research, part I: the essentials
dc.creator.none.fl_str_mv Rosselló, Xavier
González-Del-Hoyo, Maribel
author Rosselló, Xavier
author_facet Rosselló, Xavier
González-Del-Hoyo, Maribel
author_role author
author2 González-Del-Hoyo, Maribel
author2_role author
dc.contributor.none.fl_str_mv
dc.subject.none.fl_str_mv Randomized Controlled Trials as Topic
Survival Analysis
Observational Studies as Topic
Análisis de Supervivencia
Estudios Observacionales como Asunto
Ensayos Clínicos Controlados Aleatorios como Asunto
topic Randomized Controlled Trials as Topic
Survival Analysis
Observational Studies as Topic
Análisis de Supervivencia
Estudios Observacionales como Asunto
Ensayos Clínicos Controlados Aleatorios como Asunto
description [Abstract] This review provides a practical guide to the essentials of survival analysis and their reporting in cardiovascular studies, although most of its key content can be extrapolated to other medical fields. This is the first in a series of 2 educational articles laying the groundwork to address the most relevant statistical issues in survival analyses, which will smoothly drive the reader from the most basic analyses to the most complex situations. The focus will be on the type and shape of survival data, and the most common statistical methods, such as nonparametric, parametric and semiparametric models. Their adequacy, interpretation, advantages and disadvantages are illustrated by examples from the field of cardiovascular research. This article ends with a set of recommendations to guide the strategy of survival analyses for a randomized clinical trial and observational studies. Other topics, such as competing risks, multistate models and recurrent-event methods will be addressed in the second article.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022-01-01
2022
2022-01-01
dc.type.none.fl_str_mv research article
http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.13003/20153
url https://hdl.handle.net/20.500.13003/20153
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Docusalut
instname:Conselleria de Salut i Consum del Govern de les Illes Balears
instname_str Conselleria de Salut i Consum del Govern de les Illes Balears
reponame_str Docusalut
collection Docusalut
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