Assessment of participation bias in cohort studies: systematic review and meta-regression analysis
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Cadernos de Saúde Pública |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-311X2015001102259 |
Resumo: | Abstract The proportion of non-participation in cohort studies, if associated with both the exposure and the probability of occurrence of the event, can introduce bias in the estimates of interest. The aim of this study is to evaluate the impact of participation and its characteristics in longitudinal studies. A systematic review (MEDLINE, Scopus and Web of Science) for articles describing the proportion of participation in the baseline of cohort studies was performed. Among the 2,964 initially identified, 50 were selected. The average proportion of participation was 64.7%. Using a meta-regression model with mixed effects, only age, year of baseline contact and study region (borderline) were associated with participation. Considering the decrease in participation in recent years, and the cost of cohort studies, it is essential to gather information to assess the potential for non-participation, before committing resources. Finally, journals should require the presentation of this information in the papers. |
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Assessment of participation bias in cohort studies: systematic review and meta-regression analysisSelection BiasCohort StudiesEpidemiologic MethodsAbstract The proportion of non-participation in cohort studies, if associated with both the exposure and the probability of occurrence of the event, can introduce bias in the estimates of interest. The aim of this study is to evaluate the impact of participation and its characteristics in longitudinal studies. A systematic review (MEDLINE, Scopus and Web of Science) for articles describing the proportion of participation in the baseline of cohort studies was performed. Among the 2,964 initially identified, 50 were selected. The average proportion of participation was 64.7%. Using a meta-regression model with mixed effects, only age, year of baseline contact and study region (borderline) were associated with participation. Considering the decrease in participation in recent years, and the cost of cohort studies, it is essential to gather information to assess the potential for non-participation, before committing resources. Finally, journals should require the presentation of this information in the papers.Escola Nacional de Saúde Pública Sergio Arouca, Fundação Oswaldo Cruz2015-11-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-311X2015001102259Cadernos de Saúde Pública v.31 n.11 2015reponame:Cadernos de Saúde Públicainstname:Fundação Oswaldo Cruz (FIOCRUZ)instacron:FIOCRUZ10.1590/0102-311X00133814info:eu-repo/semantics/openAccessSilva Junior,Sérgio Henrique Almeida daSantos,Simone M.Coeli,Cláudia MedinaCarvalho,Marilia Sáeng2016-05-24T00:00:00Zoai:scielo:S0102-311X2015001102259Revistahttp://cadernos.ensp.fiocruz.br/csp/https://old.scielo.br/oai/scielo-oai.phpcadernos@ensp.fiocruz.br||cadernos@ensp.fiocruz.br1678-44640102-311Xopendoar:2016-05-24T00:00Cadernos de Saúde Pública - Fundação Oswaldo Cruz (FIOCRUZ)false |
dc.title.none.fl_str_mv |
Assessment of participation bias in cohort studies: systematic review and meta-regression analysis |
title |
Assessment of participation bias in cohort studies: systematic review and meta-regression analysis |
spellingShingle |
Assessment of participation bias in cohort studies: systematic review and meta-regression analysis Silva Junior,Sérgio Henrique Almeida da Selection Bias Cohort Studies Epidemiologic Methods |
title_short |
Assessment of participation bias in cohort studies: systematic review and meta-regression analysis |
title_full |
Assessment of participation bias in cohort studies: systematic review and meta-regression analysis |
title_fullStr |
Assessment of participation bias in cohort studies: systematic review and meta-regression analysis |
title_full_unstemmed |
Assessment of participation bias in cohort studies: systematic review and meta-regression analysis |
title_sort |
Assessment of participation bias in cohort studies: systematic review and meta-regression analysis |
author |
Silva Junior,Sérgio Henrique Almeida da |
author_facet |
Silva Junior,Sérgio Henrique Almeida da Santos,Simone M. Coeli,Cláudia Medina Carvalho,Marilia Sá |
author_role |
author |
author2 |
Santos,Simone M. Coeli,Cláudia Medina Carvalho,Marilia Sá |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Silva Junior,Sérgio Henrique Almeida da Santos,Simone M. Coeli,Cláudia Medina Carvalho,Marilia Sá |
dc.subject.por.fl_str_mv |
Selection Bias Cohort Studies Epidemiologic Methods |
topic |
Selection Bias Cohort Studies Epidemiologic Methods |
description |
Abstract The proportion of non-participation in cohort studies, if associated with both the exposure and the probability of occurrence of the event, can introduce bias in the estimates of interest. The aim of this study is to evaluate the impact of participation and its characteristics in longitudinal studies. A systematic review (MEDLINE, Scopus and Web of Science) for articles describing the proportion of participation in the baseline of cohort studies was performed. Among the 2,964 initially identified, 50 were selected. The average proportion of participation was 64.7%. Using a meta-regression model with mixed effects, only age, year of baseline contact and study region (borderline) were associated with participation. Considering the decrease in participation in recent years, and the cost of cohort studies, it is essential to gather information to assess the potential for non-participation, before committing resources. Finally, journals should require the presentation of this information in the papers. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-11-01 |
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=S0102-311X2015001102259 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-311X2015001102259 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/0102-311X00133814 |
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 |
Escola Nacional de Saúde Pública Sergio Arouca, Fundação Oswaldo Cruz |
publisher.none.fl_str_mv |
Escola Nacional de Saúde Pública Sergio Arouca, Fundação Oswaldo Cruz |
dc.source.none.fl_str_mv |
Cadernos de Saúde Pública v.31 n.11 2015 reponame:Cadernos de Saúde Pública instname:Fundação Oswaldo Cruz (FIOCRUZ) instacron:FIOCRUZ |
instname_str |
Fundação Oswaldo Cruz (FIOCRUZ) |
instacron_str |
FIOCRUZ |
institution |
FIOCRUZ |
reponame_str |
Cadernos de Saúde Pública |
collection |
Cadernos de Saúde Pública |
repository.name.fl_str_mv |
Cadernos de Saúde Pública - Fundação Oswaldo Cruz (FIOCRUZ) |
repository.mail.fl_str_mv |
cadernos@ensp.fiocruz.br||cadernos@ensp.fiocruz.br |
_version_ |
1754115736185339904 |