A proposed framework to guide evidence synthesis practice for meta-analysis with zero-events studies

ObjectiveIn evidence synthesis practice, researchers often face the problem of how to deal with zero-events. Inappropriately dealing with zero-events studies may lead to research waste and mislead healthcare practice. We propose a framework to guide researchers to better deal with zero-events in met...

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Chang, Xu (author)
مؤلفون آخرون: Furuya-Kanamori, Luis (author), Zorzela, Liliane (author), Lin, Lifeng (author), Vohra, Sunita (author)
التنسيق: article
منشور في: 2021
الموضوعات:
الوصول للمادة أونلاين:http://dx.doi.org/10.1016/j.jclinepi.2021.02.012
https://www.sciencedirect.com/science/article/pii/S0895435621000494?v=s5
http://hdl.handle.net/10576/17795
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author Chang, Xu
author2 Furuya-Kanamori, Luis
Zorzela, Liliane
Lin, Lifeng
Vohra, Sunita
author2_role author
author
author
author
author_facet Chang, Xu
Furuya-Kanamori, Luis
Zorzela, Liliane
Lin, Lifeng
Vohra, Sunita
author_role author
dc.creator.none.fl_str_mv Chang, Xu
Furuya-Kanamori, Luis
Zorzela, Liliane
Lin, Lifeng
Vohra, Sunita
dc.date.none.fl_str_mv 2021-02-24T10:57:00Z
2021-02-13
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv http://dx.doi.org/10.1016/j.jclinepi.2021.02.012
Chang Xu , Luis Furuya-Kanamori , Liliane Zorzela , Lifeng Lin , Sunita Vohra , A proposed framework to guide evidence synthesis practice for metaanalysis with zero-events studies, Journal of Clinical Epidemiology (2021), doi: https://doi.org/10.1016/j.jclinepi.2021.02.012
08954356
https://www.sciencedirect.com/science/article/pii/S0895435621000494?v=s5
http://hdl.handle.net/10576/17795
dc.language.none.fl_str_mv en
dc.publisher.none.fl_str_mv Elsevier
dc.rights.none.fl_str_mv http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv meta-analysis
zero-events studies
classification framework
guideline
dc.title.none.fl_str_mv A proposed framework to guide evidence synthesis practice for meta-analysis with zero-events studies
dc.type.none.fl_str_mv Article
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
description ObjectiveIn evidence synthesis practice, researchers often face the problem of how to deal with zero-events. Inappropriately dealing with zero-events studies may lead to research waste and mislead healthcare practice. We propose a framework to guide researchers to better deal with zero-events in meta-analysis. Study Design and SettingWe used two dimensions, one with respect to the total events count across all studies in the comparative arms in a meta-analysis, and a second with respect to whether included studies have single or both arms with zero-events, to establish the framework for the classification of meta-analysis with zero-events studies. A dataset from Cochrane systematic reviews was used to evaluate the classification. ResultsThe proposed framework classifies meta-analysis with zero-events studies into six subtypes. The classification matched well to the large real-world dataset. The applicability of existing methods for zero-events were then presented under each meta-analysis subtype based on this framework, with a 5-step principle to help researchers in evidence synthesis practice. ConclusionsThe proposed framework should be considered by researchers when making decisions on the selection of the synthesis methods in a meta-analysis. It also provides a reasonable basis for the development of methodological guidelines to deal with zero-events in meta-analysis.
eu_rights_str_mv openAccess
format article
id qu_edcced286b5208aee6942d5a3b61e451
identifier_str_mv Chang Xu , Luis Furuya-Kanamori , Liliane Zorzela , Lifeng Lin , Sunita Vohra , A proposed framework to guide evidence synthesis practice for metaanalysis with zero-events studies, Journal of Clinical Epidemiology (2021), doi: https://doi.org/10.1016/j.jclinepi.2021.02.012
08954356
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oai_identifier_str oai:qspace.qu.edu.qa:10576/17795
publishDate 2021
publisher.none.fl_str_mv Elsevier
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rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
spelling A proposed framework to guide evidence synthesis practice for meta-analysis with zero-events studiesChang, XuFuruya-Kanamori, LuisZorzela, LilianeLin, LifengVohra, Sunitameta-analysiszero-events studiesclassification frameworkguidelineObjectiveIn evidence synthesis practice, researchers often face the problem of how to deal with zero-events. Inappropriately dealing with zero-events studies may lead to research waste and mislead healthcare practice. We propose a framework to guide researchers to better deal with zero-events in meta-analysis. Study Design and SettingWe used two dimensions, one with respect to the total events count across all studies in the comparative arms in a meta-analysis, and a second with respect to whether included studies have single or both arms with zero-events, to establish the framework for the classification of meta-analysis with zero-events studies. A dataset from Cochrane systematic reviews was used to evaluate the classification. ResultsThe proposed framework classifies meta-analysis with zero-events studies into six subtypes. The classification matched well to the large real-world dataset. The applicability of existing methods for zero-events were then presented under each meta-analysis subtype based on this framework, with a 5-step principle to help researchers in evidence synthesis practice. ConclusionsThe proposed framework should be considered by researchers when making decisions on the selection of the synthesis methods in a meta-analysis. It also provides a reasonable basis for the development of methodological guidelines to deal with zero-events in meta-analysis.Elsevier2021-02-24T10:57:00Z2021-02-13Articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://dx.doi.org/10.1016/j.jclinepi.2021.02.012Chang Xu , Luis Furuya-Kanamori , Liliane Zorzela , Lifeng Lin , Sunita Vohra , A proposed framework to guide evidence synthesis practice for metaanalysis with zero-events studies, Journal of Clinical Epidemiology (2021), doi: https://doi.org/10.1016/j.jclinepi.2021.02.01208954356https://www.sciencedirect.com/science/article/pii/S0895435621000494?v=s5http://hdl.handle.net/10576/17795enhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:qspace.qu.edu.qa:10576/177952024-07-23T11:23:27Z
spellingShingle A proposed framework to guide evidence synthesis practice for meta-analysis with zero-events studies
Chang, Xu
meta-analysis
zero-events studies
classification framework
guideline
status_str publishedVersion
title A proposed framework to guide evidence synthesis practice for meta-analysis with zero-events studies
title_full A proposed framework to guide evidence synthesis practice for meta-analysis with zero-events studies
title_fullStr A proposed framework to guide evidence synthesis practice for meta-analysis with zero-events studies
title_full_unstemmed A proposed framework to guide evidence synthesis practice for meta-analysis with zero-events studies
title_short A proposed framework to guide evidence synthesis practice for meta-analysis with zero-events studies
title_sort A proposed framework to guide evidence synthesis practice for meta-analysis with zero-events studies
topic meta-analysis
zero-events studies
classification framework
guideline
url http://dx.doi.org/10.1016/j.jclinepi.2021.02.012
https://www.sciencedirect.com/science/article/pii/S0895435621000494?v=s5
http://hdl.handle.net/10576/17795