Cargando…

Methods for analyzing observational longitudinal prognosis studies for rheumatic diseases: a review & worked example using a clinic-based cohort of juvenile dermatomyositis patients

Most outcome studies of rheumatic diseases report outcomes ascertained on a single occasion. While single assessments are sufficient for terminal or irreversible outcomes, they may not be sufficiently informative if outcomes change or fluctuate over time. Consequently, longitudinal studies that meas...

Descripción completa

Detalles Bibliográficos
Autores principales: Lim, Lily Siok Hoon, Pullenayegum, Eleanor, Moineddin, Rahim, Gladman, Dafna D, Silverman, Earl D, Feldman, Brian M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5371187/
https://www.ncbi.nlm.nih.gov/pubmed/28356102
http://dx.doi.org/10.1186/s12969-017-0148-2
_version_ 1782518369129332736
author Lim, Lily Siok Hoon
Pullenayegum, Eleanor
Moineddin, Rahim
Gladman, Dafna D
Silverman, Earl D
Feldman, Brian M
author_facet Lim, Lily Siok Hoon
Pullenayegum, Eleanor
Moineddin, Rahim
Gladman, Dafna D
Silverman, Earl D
Feldman, Brian M
author_sort Lim, Lily Siok Hoon
collection PubMed
description Most outcome studies of rheumatic diseases report outcomes ascertained on a single occasion. While single assessments are sufficient for terminal or irreversible outcomes, they may not be sufficiently informative if outcomes change or fluctuate over time. Consequently, longitudinal studies that measure non-terminal outcomes repeatedly afford a better understanding of disease evolution. Longitudinal studies require special analytic methods. Newer longitudinal analytic methods have evolved tremendously to deal with common challenges in longitudinal observational studies. In recent years, an increasing number of studies have used longitudinal design. This review aims to help readers understand and apply the findings from longitudinal studies. Using a cohort of children with juvenile dermatomyositis (JDM), we illustrate how to study evolution of disease activity in JDM using longitudinal methods. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12969-017-0148-2) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-5371187
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-53711872017-03-30 Methods for analyzing observational longitudinal prognosis studies for rheumatic diseases: a review & worked example using a clinic-based cohort of juvenile dermatomyositis patients Lim, Lily Siok Hoon Pullenayegum, Eleanor Moineddin, Rahim Gladman, Dafna D Silverman, Earl D Feldman, Brian M Pediatr Rheumatol Online J Review Most outcome studies of rheumatic diseases report outcomes ascertained on a single occasion. While single assessments are sufficient for terminal or irreversible outcomes, they may not be sufficiently informative if outcomes change or fluctuate over time. Consequently, longitudinal studies that measure non-terminal outcomes repeatedly afford a better understanding of disease evolution. Longitudinal studies require special analytic methods. Newer longitudinal analytic methods have evolved tremendously to deal with common challenges in longitudinal observational studies. In recent years, an increasing number of studies have used longitudinal design. This review aims to help readers understand and apply the findings from longitudinal studies. Using a cohort of children with juvenile dermatomyositis (JDM), we illustrate how to study evolution of disease activity in JDM using longitudinal methods. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12969-017-0148-2) contains supplementary material, which is available to authorized users. BioMed Central 2017-03-29 /pmc/articles/PMC5371187/ /pubmed/28356102 http://dx.doi.org/10.1186/s12969-017-0148-2 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Review
Lim, Lily Siok Hoon
Pullenayegum, Eleanor
Moineddin, Rahim
Gladman, Dafna D
Silverman, Earl D
Feldman, Brian M
Methods for analyzing observational longitudinal prognosis studies for rheumatic diseases: a review & worked example using a clinic-based cohort of juvenile dermatomyositis patients
title Methods for analyzing observational longitudinal prognosis studies for rheumatic diseases: a review & worked example using a clinic-based cohort of juvenile dermatomyositis patients
title_full Methods for analyzing observational longitudinal prognosis studies for rheumatic diseases: a review & worked example using a clinic-based cohort of juvenile dermatomyositis patients
title_fullStr Methods for analyzing observational longitudinal prognosis studies for rheumatic diseases: a review & worked example using a clinic-based cohort of juvenile dermatomyositis patients
title_full_unstemmed Methods for analyzing observational longitudinal prognosis studies for rheumatic diseases: a review & worked example using a clinic-based cohort of juvenile dermatomyositis patients
title_short Methods for analyzing observational longitudinal prognosis studies for rheumatic diseases: a review & worked example using a clinic-based cohort of juvenile dermatomyositis patients
title_sort methods for analyzing observational longitudinal prognosis studies for rheumatic diseases: a review & worked example using a clinic-based cohort of juvenile dermatomyositis patients
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5371187/
https://www.ncbi.nlm.nih.gov/pubmed/28356102
http://dx.doi.org/10.1186/s12969-017-0148-2
work_keys_str_mv AT limlilysiokhoon methodsforanalyzingobservationallongitudinalprognosisstudiesforrheumaticdiseasesareviewworkedexampleusingaclinicbasedcohortofjuveniledermatomyositispatients
AT pullenayegumeleanor methodsforanalyzingobservationallongitudinalprognosisstudiesforrheumaticdiseasesareviewworkedexampleusingaclinicbasedcohortofjuveniledermatomyositispatients
AT moineddinrahim methodsforanalyzingobservationallongitudinalprognosisstudiesforrheumaticdiseasesareviewworkedexampleusingaclinicbasedcohortofjuveniledermatomyositispatients
AT gladmandafnad methodsforanalyzingobservationallongitudinalprognosisstudiesforrheumaticdiseasesareviewworkedexampleusingaclinicbasedcohortofjuveniledermatomyositispatients
AT silvermanearld methodsforanalyzingobservationallongitudinalprognosisstudiesforrheumaticdiseasesareviewworkedexampleusingaclinicbasedcohortofjuveniledermatomyositispatients
AT feldmanbrianm methodsforanalyzingobservationallongitudinalprognosisstudiesforrheumaticdiseasesareviewworkedexampleusingaclinicbasedcohortofjuveniledermatomyositispatients