Metaplot: A new Stata module for assessing heterogeneity in a meta-analysis.

<h4>Background</h4>The proposed sequential and combinatorial algorithm, suggested as a standard tool for assessing, exploring, and reporting heterogeneity in the meta-analysis, is useful but time-consuming particularly when the number of included studies is large. Metaplot is a novel gra...

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Autores principales:	Jalal Poorolajal, Shahla Noornejad
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/e2bc41cc1bf94b9791d12d84d4c5610f
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spelling	oai:doaj.org-article:e2bc41cc1bf94b9791d12d84d4c5610f2021-12-02T20:09:54ZMetaplot: A new Stata module for assessing heterogeneity in a meta-analysis.1932-620310.1371/journal.pone.0253341https://doaj.org/article/e2bc41cc1bf94b9791d12d84d4c5610f2021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0253341https://doaj.org/toc/1932-6203<h4>Background</h4>The proposed sequential and combinatorial algorithm, suggested as a standard tool for assessing, exploring, and reporting heterogeneity in the meta-analysis, is useful but time-consuming particularly when the number of included studies is large. Metaplot is a novel graphical approach that facilitates performing sensitivity analysis to distinguish the source of substantial heterogeneity across studies with ease and speed.<h4>Method</h4>Metaplot is a Stata module based on Stata's commands, known informally as "ado". Metaplot presents a two-way (x, y) plot in which the x-axis represents the study codes and the y-axis represents the values of I2 statistics excluding one study at a time (n-1 studies). Metaplot also produces a table in the 'Results window' of the Stata software including details such as I2 and χ2 statistics and their P-values omitting one study in each turn.<h4>Results</h4>Metaplot allows rapid identification of studies that have a disproportionate impact on heterogeneity across studies, and communicates to what extent omission of that study may reduce the overall heterogeneity based on the I2 and χ2 statistics. Metaplot has no limitations regarding the number of studies or types of outcome data (binomial or continuous data).<h4>Conclusions</h4>Metaplot is a simple graphical approach that gives a quick and easy identification of the studies having substantial influences on overall heterogeneity at a glance.Jalal PoorolajalShahla NoornejadPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 6, p e0253341 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Jalal Poorolajal Shahla Noornejad Metaplot: A new Stata module for assessing heterogeneity in a meta-analysis.
description	<h4>Background</h4>The proposed sequential and combinatorial algorithm, suggested as a standard tool for assessing, exploring, and reporting heterogeneity in the meta-analysis, is useful but time-consuming particularly when the number of included studies is large. Metaplot is a novel graphical approach that facilitates performing sensitivity analysis to distinguish the source of substantial heterogeneity across studies with ease and speed.<h4>Method</h4>Metaplot is a Stata module based on Stata's commands, known informally as "ado". Metaplot presents a two-way (x, y) plot in which the x-axis represents the study codes and the y-axis represents the values of I2 statistics excluding one study at a time (n-1 studies). Metaplot also produces a table in the 'Results window' of the Stata software including details such as I2 and χ2 statistics and their P-values omitting one study in each turn.<h4>Results</h4>Metaplot allows rapid identification of studies that have a disproportionate impact on heterogeneity across studies, and communicates to what extent omission of that study may reduce the overall heterogeneity based on the I2 and χ2 statistics. Metaplot has no limitations regarding the number of studies or types of outcome data (binomial or continuous data).<h4>Conclusions</h4>Metaplot is a simple graphical approach that gives a quick and easy identification of the studies having substantial influences on overall heterogeneity at a glance.
format	article
author	Jalal Poorolajal Shahla Noornejad
author_facet	Jalal Poorolajal Shahla Noornejad
author_sort	Jalal Poorolajal
title	Metaplot: A new Stata module for assessing heterogeneity in a meta-analysis.
title_short	Metaplot: A new Stata module for assessing heterogeneity in a meta-analysis.
title_full	Metaplot: A new Stata module for assessing heterogeneity in a meta-analysis.
title_fullStr	Metaplot: A new Stata module for assessing heterogeneity in a meta-analysis.
title_full_unstemmed	Metaplot: A new Stata module for assessing heterogeneity in a meta-analysis.
title_sort	metaplot: a new stata module for assessing heterogeneity in a meta-analysis.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/e2bc41cc1bf94b9791d12d84d4c5610f
work_keys_str_mv	AT jalalpoorolajal metaplotanewstatamoduleforassessingheterogeneityinametaanalysis AT shahlanoornejad metaplotanewstatamoduleforassessingheterogeneityinametaanalysis
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Metaplot: A new Stata module for assessing heterogeneity in a meta-analysis.

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