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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| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , , , |
| التنسيق: | article |
| منشور في: |
2021
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| 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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| _version_ | 1857415087528083456 |
|---|---|
| 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 |
| language_invalid_str_mv | en |
| network_acronym_str | qu |
| network_name_str | Qatar University repository |
| oai_identifier_str | oai:qspace.qu.edu.qa:10576/17795 |
| publishDate | 2021 |
| publisher.none.fl_str_mv | Elsevier |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| 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 |