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Evaluating heterogeneity in cumulative meta-analyses
BACKGROUND: Recently developed measures such as I(2 )and H allow the evaluation of the impact of heterogeneity in conventional meta-analyses. There has been no examination of the development of heterogeneity in the context of a cumulative meta-analysis. METHODS: Cumulative meta-analyses of five smok...
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2004
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC487901/ https://www.ncbi.nlm.nih.gov/pubmed/15251035 http://dx.doi.org/10.1186/1471-2288-4-18 |
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author | Villanueva, Elmer V Zavarsek, Silva |
author_facet | Villanueva, Elmer V Zavarsek, Silva |
author_sort | Villanueva, Elmer V |
collection | PubMed |
description | BACKGROUND: Recently developed measures such as I(2 )and H allow the evaluation of the impact of heterogeneity in conventional meta-analyses. There has been no examination of the development of heterogeneity in the context of a cumulative meta-analysis. METHODS: Cumulative meta-analyses of five smoking cessation interventions (clonidine, nicotine replacement therapy using gum and patch, physician advice and acupuncture) were used to calculate I(2 )and H. These values were plotted by year of publication, control event rate and sample size to trace the development of heterogeneity over these covariates. RESULTS: The cumulative evaluation of heterogeneity varied according to the measure of heterogeneity used and the basis of cumulation. Plots produced from the calculations revealed areas of heterogeneity useful in the consideration of potential sources for further study. CONCLUSION: The examination of heterogeneity in conjunction with summary effect estimates in a cumulative meta-analysis offered valuable insight into the evolution of variation. Such information is not available in the context of conventional meta-analysis and has the potential to lead to the development of a richer picture of the effectiveness of interventions. |
format | Text |
id | pubmed-487901 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2004 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-4879012004-07-25 Evaluating heterogeneity in cumulative meta-analyses Villanueva, Elmer V Zavarsek, Silva BMC Med Res Methodol Research Article BACKGROUND: Recently developed measures such as I(2 )and H allow the evaluation of the impact of heterogeneity in conventional meta-analyses. There has been no examination of the development of heterogeneity in the context of a cumulative meta-analysis. METHODS: Cumulative meta-analyses of five smoking cessation interventions (clonidine, nicotine replacement therapy using gum and patch, physician advice and acupuncture) were used to calculate I(2 )and H. These values were plotted by year of publication, control event rate and sample size to trace the development of heterogeneity over these covariates. RESULTS: The cumulative evaluation of heterogeneity varied according to the measure of heterogeneity used and the basis of cumulation. Plots produced from the calculations revealed areas of heterogeneity useful in the consideration of potential sources for further study. CONCLUSION: The examination of heterogeneity in conjunction with summary effect estimates in a cumulative meta-analysis offered valuable insight into the evolution of variation. Such information is not available in the context of conventional meta-analysis and has the potential to lead to the development of a richer picture of the effectiveness of interventions. BioMed Central 2004-07-13 /pmc/articles/PMC487901/ /pubmed/15251035 http://dx.doi.org/10.1186/1471-2288-4-18 Text en Copyright © 2004 Villanueva and Zavarsek; licensee BioMed Central Ltd. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose, provided this notice is preserved along with the article's original URL. |
spellingShingle | Research Article Villanueva, Elmer V Zavarsek, Silva Evaluating heterogeneity in cumulative meta-analyses |
title | Evaluating heterogeneity in cumulative meta-analyses |
title_full | Evaluating heterogeneity in cumulative meta-analyses |
title_fullStr | Evaluating heterogeneity in cumulative meta-analyses |
title_full_unstemmed | Evaluating heterogeneity in cumulative meta-analyses |
title_short | Evaluating heterogeneity in cumulative meta-analyses |
title_sort | evaluating heterogeneity in cumulative meta-analyses |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC487901/ https://www.ncbi.nlm.nih.gov/pubmed/15251035 http://dx.doi.org/10.1186/1471-2288-4-18 |
work_keys_str_mv | AT villanuevaelmerv evaluatingheterogeneityincumulativemetaanalyses AT zavarseksilva evaluatingheterogeneityincumulativemetaanalyses |