{"id":1539,"date":"2020-01-25T14:39:10","date_gmt":"2020-01-25T14:39:10","guid":{"rendered":"http:\/\/oxfordbrazilebm.com\/?page_id=1539"},"modified":"2020-01-25T14:39:10","modified_gmt":"2020-01-25T14:39:10","slug":"vies-de-prevalencia-incidencia-neyman","status":"publish","type":"page","link":"https:\/\/oxfordbrazilebm.com\/index.php\/vies-de-prevalencia-incidencia-neyman\/","title":{"rendered":"Vi\u00e9s de preval\u00eancia-incid\u00eancia (Neyman)"},"content":{"rendered":"<div class=\"wpb-content-wrapper\"><p>[vc_row bg_type=&#8221;bg_color&#8221; css=&#8221;.vc_custom_1572747881603{padding-top: 10px !important;padding-bottom: 10px !important;}&#8221; bg_color_value=&#8221;#f7f7f7&#8243;][vc_column width=&#8221;1\/3&#8243;][vc_column_text]<b>Nome original do vi\u00e9s: <\/b>Prevalence-incidence (Neyman) bias[\/vc_column_text][\/vc_column][vc_column width=&#8221;1\/3&#8243;][vc_column_text]<strong>Tradu\u00e7\u00e3o: <\/strong>Carolina de Oliveira Cruz Latorraca, Rafael Leite Pacheco, Enderson Miranda, Rachel Riera[\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column]<div class=\"ult-spacer spacer-69f0c40dbab5f\" data-id=\"69f0c40dbab5f\" data-height=\"30\" data-height-mobile=\"30\" data-height-tab=\"30\" data-height-tab-portrait=\"\" data-height-mobile-landscape=\"\" style=\"clear:both;display:block;\"><\/div>[vc_separator]<div class=\"ult-spacer spacer-69f0c40dbab7f\" data-id=\"69f0c40dbab7f\" data-height=\"30\" data-height-mobile=\"30\" data-height-tab=\"30\" data-height-tab-portrait=\"\" data-height-mobile-landscape=\"\" style=\"clear:both;display:block;\"><\/div>[\/vc_column][\/vc_row][vc_row][vc_column][vc_column_text]Exclus\u00e3o de indiv\u00edduos com doen\u00e7as graves ou moderadas resultando em um erro sistem\u00e1tico na associa\u00e7\u00e3o ou efeito estimado de uma determinada exposi\u00e7\u00e3o ou desfecho.<\/p>\n<p style=\"text-align: justify;\"><strong>Introdu\u00e7\u00e3o<\/strong><\/p>\n<p style=\"text-align: justify;\">O vi\u00e9s de preval\u00eancia-incid\u00eancia, ou vi\u00e9s de Neyman, ocorre devido ao momento em que os casos s\u00e3o inclu\u00eddos em um estudo. David Sackett escreveu em 1979: &#8220;<em>Ao olhar tardiamente os que foram expostos (ou afetados) mais cedo, pode-se perder epis\u00f3dios fatais ou mais curtos, al\u00e9m de casos brandos ou silenciosos e casos nos quais as evid\u00eancias de que houve a exposi\u00e7\u00e3o desaparecem quando os primeiros sintomas da doen\u00e7a surgem<\/em>.&#8221;<\/p>\n<p>Excluir pacientes que morreram faz com que a doen\u00e7a pare\u00e7a menos grave, enquanto excluir pacientes que se recuperaram faz com que a doen\u00e7a pare\u00e7a mais grave. Quanto maior o tempo entre exposi\u00e7\u00e3o e investiga\u00e7\u00e3o, maior a probabilidade de indiv\u00edduos morrerem ou se recuperarem da doen\u00e7a, e portanto, maior a probabilidade de serem exclu\u00eddos da an\u00e1lise. \u00c9 mais prov\u00e1vel que este vi\u00e9s tenha maior impacto nas doen\u00e7as de longa dura\u00e7\u00e3o do que naquelas de curta dura\u00e7\u00e3o.<\/p>\n<p>Estudos de caso-controle s\u00e3o mais suscet\u00edveis a este vi\u00e9s, mas ele tamb\u00e9m pode ocorrer em estudos transversais, experimentais ou coortes.<\/p>\n<p style=\"text-align: justify;\"><strong>Exemplos<\/strong><\/p>\n<p>Um estudo caso-controle investigando pneumonia que apenas inclui casos e controles internados em um hospital. Aqueles com pneumonia que morreram antes de serem internados n\u00e3o ser\u00e3o inclu\u00eddos na amostra. Dessa forma, a amostra selecionada vai incluir casos moderadamente graves, mas n\u00e3o casos fatais.<\/p>\n<p style=\"text-align: justify;\"><strong>Impacto<\/strong><\/p>\n<p>N\u00f3s n\u00e3o encontramos investiga\u00e7\u00f5es formais sobre o impacto do vi\u00e9s de preval\u00eancia-incid\u00eancia.<\/p>\n<p style=\"text-align: justify;\"><strong>Passos para preven\u00e7\u00e3o<\/strong><\/p>\n<p>Uma sele\u00e7\u00e3o cuidadosa da amostra dos estudos \u00e9 crucial para desenvolver um melhor entendimento sobre a doen\u00e7a e suas causas. Utilizar casos incidentes ao inv\u00e9s de casos\u00a0 prevalentes pode evitar o vi\u00e9s de preval\u00eancia-incid\u00eancia.[\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column]<div class=\"ult-spacer spacer-69f0c40dbab90\" data-id=\"69f0c40dbab90\" data-height=\"30\" data-height-mobile=\"30\" data-height-tab=\"30\" data-height-tab-portrait=\"\" data-height-mobile-landscape=\"\" style=\"clear:both;display:block;\"><\/div>[vc_separator]<div class=\"ult-spacer spacer-69f0c40dbab9d\" data-id=\"69f0c40dbab9d\" data-height=\"30\" data-height-mobile=\"30\" data-height-tab=\"30\" data-height-tab-portrait=\"\" data-height-mobile-landscape=\"\" style=\"clear:both;display:block;\"><\/div>[\/vc_column][\/vc_row][vc_row bg_type=&#8221;bg_color&#8221; bg_color_value=&#8221;#f7f7f7&#8243; css=&#8221;.vc_custom_1572747847655{padding-top: 20px !important;padding-bottom: 20px !important;}&#8221;][vc_column][vc_column_text]<strong>Link para o original: <\/strong><u><a href=\"https:\/\/catalogofbias.org\/biases\/prevalence-incidence-neyman-bias\/\">https:\/\/catalogofbias.org\/biases\/observer-bias\/<\/a><\/u><\/p>\n<p><strong>\u00a0<\/strong><\/p>\n<p><strong>Deve ser citado como: <\/strong>Catalogue of Bias Collaboration, Spencer EA, Heneghan C. Prevalence-incidence (Neyman) bias. In: Catalogue Of Bias 2017.\u00a0 \u00a0<u><a href=\"https:\/\/catalogofbias.org\/biases\/prevalence-incidence-neyman-bias\/\">https:\/\/www.catalogofbias.org\/biases\/observer-bias<\/a><\/u>.<\/p>\n<p><strong>\u00a0<\/strong><\/p>\n<p><strong>Fontes:<\/strong><\/p>\n<p>Hill G, et al. <a href=\"https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/12767404\">Neyman\u2019s bias re-visited.<\/a> J Clin Epidemiol. 2003 Apr;56(4):293-6<\/p>\n<p>Sackett DL. Bias in analytic research. J Chron Dis 1979; 32: 51-63<\/p>\n<p>Swanson D et al. <a href=\"https:\/\/www.biorxiv.org\/content\/early\/2016\/07\/31\/066902\">Hypothesis Tests for Neyman\u2019s Bias in Case-Control Studies <\/a>bioRxiv 066902; doi: <a href=\"https:\/\/doi.org\/10.1101\/066902\">https:\/\/doi.org\/10.1101\/066902<\/a><\/p>\n<h4><strong>PubMed feed<\/strong><\/h4>\n<p>Estas fontes podem ser recuperadas dinamicamente a partir do PubMed:<\/p>\n<p>Leon-Hernandez SR, Padilla EL, Algara AC, Rodriguez NC, Sanchez EF, Cruz JL, Mejia Barradas CM, Bandala C. <a href=\"https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/25081690?dopt=Abstract\">Relation of alcohol\/tobacco use with metastasis, hormonal (estrogen and progesterone) receptor status and c-erbB2 protein in mammary ductal carcinoma.<\/a>[\/vc_column_text][\/vc_column][\/vc_row]<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>[vc_row bg_type=&#8221;bg_color&#8221; css=&#8221;.vc_custom_1572747881603{padding-top: 10px !important;padding-bottom: 10px !important;}&#8221; bg_color_value=&#8221;#f7f7f7&#8243;][vc_column width=&#8221;1\/3&#8243;][vc_column_text]Nome original do vi\u00e9s: Prevalence-incidence (Neyman) bias[\/vc_column_text][\/vc_column][vc_column width=&#8221;1\/3&#8243;][vc_column_text]Tradu\u00e7\u00e3o: Carolina de Oliveira Cruz Latorraca, Rafael Leite Pacheco, Enderson Miranda, Rachel Riera[\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column][vc_separator][\/vc_column][\/vc_row][vc_row][vc_column][vc_column_text]Exclus\u00e3o de indiv\u00edduos com doen\u00e7as graves ou moderadas resultando em um erro sistem\u00e1tico na associa\u00e7\u00e3o ou efeito estimado de uma determinada exposi\u00e7\u00e3o ou desfecho. Introdu\u00e7\u00e3o O vi\u00e9s de&hellip;<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1539","page","type-page","status-publish","hentry","description-off"],"_links":{"self":[{"href":"https:\/\/oxfordbrazilebm.com\/index.php\/wp-json\/wp\/v2\/pages\/1539","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oxfordbrazilebm.com\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/oxfordbrazilebm.com\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/oxfordbrazilebm.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/oxfordbrazilebm.com\/index.php\/wp-json\/wp\/v2\/comments?post=1539"}],"version-history":[{"count":1,"href":"https:\/\/oxfordbrazilebm.com\/index.php\/wp-json\/wp\/v2\/pages\/1539\/revisions"}],"predecessor-version":[{"id":1540,"href":"https:\/\/oxfordbrazilebm.com\/index.php\/wp-json\/wp\/v2\/pages\/1539\/revisions\/1540"}],"wp:attachment":[{"href":"https:\/\/oxfordbrazilebm.com\/index.php\/wp-json\/wp\/v2\/media?parent=1539"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}