Visual data: a new tool to improve the presentation of clinical trial results

Detalhes bibliográficos
Autor(a) principal: Ritti-Dias,Raphael Mendes
Data de Publicação: 2020
Outros Autores: Correia,Marilia de Almeida, Farah,Breno Quintella
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Einstein (São Paulo)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1679-45082020000100900
Resumo: ABSTRACT Randomized controlled trials are known to be the best tool to determine the effects of an intervention; however, most healthcare professionals are not able to adequately understand the results. In this report, concepts, applications, examples, and advantages of using visual data as a complementary tool in the results section of original articles are presented. Visual simplification of data presentation will improve general understanding of clinical research.
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spelling Visual data: a new tool to improve the presentation of clinical trial resultsRandomized controlled trials as topicBiostatisticsData displayNon-randomized controlled trials as topicABSTRACT Randomized controlled trials are known to be the best tool to determine the effects of an intervention; however, most healthcare professionals are not able to adequately understand the results. In this report, concepts, applications, examples, and advantages of using visual data as a complementary tool in the results section of original articles are presented. Visual simplification of data presentation will improve general understanding of clinical research.Instituto Israelita de Ensino e Pesquisa Albert Einstein2020-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1679-45082020000100900einstein (São Paulo) v.18 2020reponame:Einstein (São Paulo)instname:Instituto Israelita de Ensino e Pesquisa Albert Einstein (IIEPAE)instacron:IIEPAE10.31744/einstein_journal/2020ae4729info:eu-repo/semantics/openAccessRitti-Dias,Raphael MendesCorreia,Marilia de AlmeidaFarah,Breno Quintellaeng2019-11-21T00:00:00Zoai:scielo:S1679-45082020000100900Revistahttps://journal.einstein.br/pt-br/ONGhttps://old.scielo.br/oai/scielo-oai.php||revista@einstein.br2317-63851679-4508opendoar:2019-11-21T00:00Einstein (São Paulo) - Instituto Israelita de Ensino e Pesquisa Albert Einstein (IIEPAE)false
dc.title.none.fl_str_mv Visual data: a new tool to improve the presentation of clinical trial results
title Visual data: a new tool to improve the presentation of clinical trial results
spellingShingle Visual data: a new tool to improve the presentation of clinical trial results
Ritti-Dias,Raphael Mendes
Randomized controlled trials as topic
Biostatistics
Data display
Non-randomized controlled trials as topic
title_short Visual data: a new tool to improve the presentation of clinical trial results
title_full Visual data: a new tool to improve the presentation of clinical trial results
title_fullStr Visual data: a new tool to improve the presentation of clinical trial results
title_full_unstemmed Visual data: a new tool to improve the presentation of clinical trial results
title_sort Visual data: a new tool to improve the presentation of clinical trial results
author Ritti-Dias,Raphael Mendes
author_facet Ritti-Dias,Raphael Mendes
Correia,Marilia de Almeida
Farah,Breno Quintella
author_role author
author2 Correia,Marilia de Almeida
Farah,Breno Quintella
author2_role author
author
dc.contributor.author.fl_str_mv Ritti-Dias,Raphael Mendes
Correia,Marilia de Almeida
Farah,Breno Quintella
dc.subject.por.fl_str_mv Randomized controlled trials as topic
Biostatistics
Data display
Non-randomized controlled trials as topic
topic Randomized controlled trials as topic
Biostatistics
Data display
Non-randomized controlled trials as topic
description ABSTRACT Randomized controlled trials are known to be the best tool to determine the effects of an intervention; however, most healthcare professionals are not able to adequately understand the results. In this report, concepts, applications, examples, and advantages of using visual data as a complementary tool in the results section of original articles are presented. Visual simplification of data presentation will improve general understanding of clinical research.
publishDate 2020
dc.date.none.fl_str_mv 2020-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1679-45082020000100900
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1679-45082020000100900
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.31744/einstein_journal/2020ae4729
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Instituto Israelita de Ensino e Pesquisa Albert Einstein
publisher.none.fl_str_mv Instituto Israelita de Ensino e Pesquisa Albert Einstein
dc.source.none.fl_str_mv einstein (São Paulo) v.18 2020
reponame:Einstein (São Paulo)
instname:Instituto Israelita de Ensino e Pesquisa Albert Einstein (IIEPAE)
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instname_str Instituto Israelita de Ensino e Pesquisa Albert Einstein (IIEPAE)
instacron_str IIEPAE
institution IIEPAE
reponame_str Einstein (São Paulo)
collection Einstein (São Paulo)
repository.name.fl_str_mv Einstein (São Paulo) - Instituto Israelita de Ensino e Pesquisa Albert Einstein (IIEPAE)
repository.mail.fl_str_mv ||revista@einstein.br
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