Assuntos
Neoplasias da Mama/patologia , Carcinoma Ductal de Mama/patologia , Carcinoma Intraductal não Infiltrante/patologia , Carcinoma Lobular/patologia , Doença de Paget Mamária/patologia , Sistema de Registros , Adulto , Idoso , Neoplasias da Mama/metabolismo , Neoplasias da Mama/terapia , Carcinoma in Situ/patologia , Carcinoma in Situ/terapia , Carcinoma Ductal de Mama/metabolismo , Carcinoma Ductal de Mama/terapia , Carcinoma Intraductal não Infiltrante/metabolismo , Carcinoma Intraductal não Infiltrante/terapia , Carcinoma Lobular/metabolismo , Carcinoma Lobular/terapia , Intervalo Livre de Doença , Feminino , Humanos , Japão , Estimativa de Kaplan-Meier , Pessoa de Meia-Idade , Estadiamento de Neoplasias , Doença de Paget Mamária/metabolismo , Doença de Paget Mamária/terapia , Prognóstico , Receptor ErbB-2/metabolismo , Receptores de Estrogênio/metabolismo , Sociedades Médicas , Neoplasias de Mama Triplo Negativas/metabolismo , Neoplasias de Mama Triplo Negativas/patologia , Neoplasias de Mama Triplo Negativas/terapia , Carga TumoralAssuntos
Neoplasias da Mama/terapia , Mastectomia Segmentar/estatística & dados numéricos , Mastectomia Simples/estatística & dados numéricos , Neoplasias da Mama/epidemiologia , Neoplasias da Mama/patologia , Neoplasias da Mama/radioterapia , Neoplasias da Mama/cirurgia , Feminino , Humanos , Japão , Metástase Linfática/diagnóstico , Mastectomia Segmentar/tendências , Mastectomia Simples/tendências , Sistema de Registros , Biópsia de Linfonodo Sentinela/estatística & dados numéricosRESUMO
In meta-analysis, the assessment of graphs is widely used in an attempt to identify or rule out heterogeneity and publication bias. A variety of graphs are available for this purpose. To date, however, there has been no comparative evaluation of the performance of these graphs. With the objective of assessing the reproducibility and validity of graph ratings, the authors simulated 100 meta-analyses from 4 scenarios that covered situations with and without heterogeneity and publication bias. From each meta-analysis, the authors produced 11 types of graphs (box plot, weighted box plot, standardized residual histogram, normal quantile plot, forest plot, 3 kinds of funnel plots, trim-and-fill plot, Galbraith plot, and L'Abbé plot), and 3 reviewers assessed the resulting 1,100 plots. The intraclass correlation coefficients (ICCs) for reproducibility of the graph ratings ranged from poor (ICC = 0.34) to high (ICC = 0.91). Ratings of the forest plot and the standardized residual histogram were best associated with parameter heterogeneity. Association between graph ratings and publication bias (censorship of studies) was poor. Meta-analysts should be selective in the graphs they choose for the exploration of their data.