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  • 标题:Metaplot: A Novel Stata Graph for Assessing Heterogeneity at a Glance
  • 其他标题:Metaplot: A Novel Stata Graph for Assessing Heterogeneity at a Glance
  • 作者:J Poorolajal ; M Mahmoodi ; R Majdzadeh
  • 期刊名称:Iranian Journal of Public Health
  • 印刷版ISSN:2251-6085
  • 电子版ISSN:2251-6093
  • 出版年度:2010
  • 卷号:39
  • 期号:2
  • 页码:102-104
  • 语种:English
  • 出版社:Tehran University of Medical Sciences
  • 摘要:Background: Heterogeneity is usually a major concern in meta-analysis. Although there are some statistical approaches for as­sessing variability across studies, here we present a new approach to heterogeneity using "MetaPlot" that investigate the influ­ence of a single study on the overall heterogeneity.Methods: MetaPlot is a two-way (x, y) graph, which can be considered as a complementary graphical approach for testing hetero­geneity. This method shows graphically as well as numerically the results of an influence analysis, in which Higgins' I2 statistic with 95% (Confidence interval) CI are computed omitting one study in each turn and then are plotted against recipro­cal of standard error (1/SE) or "precision". In this graph, "1/SE" lies on x axis and "I2 results" lies on y axe.Results: Having a first glance at MetaPlot, one can predict to what extent omission of a single study may influence the over­all heterogeneity. The precision on x-axis enables us to distinguish the size of each trial. The graph describes I2 statistic with 95% CI graphically as well as numerically in one view for prompt comparison. It is possible to implement MetaPlot for meta-analysis of different types of outcome data and summary measures.Conclusion: This method presents a simple graphical approach to identify an outlier and its effect on overall heterogeneity at a glance. We wish to suggest MetaPlot to Stata experts to prepare its module for the software.
  • 关键词:Heterogeneity; Meta-Analysis; Systematic review; Stata graph
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