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Conduct and reporting of multivariate network meta-analyses: a scoping review.
Bartoszko, Jessica J; Gutiérrez García, Mayra; Díaz Martínez, Juan Pablo; Yegorov, Sergey; Brignardello-Petersen, Romina; Mertz, Dominik; Thabane, Lehana; Loeb, Mark.
Afiliação
  • Bartoszko JJ; Department of Health Research Methods, Evidence, and Impact, McMaster University, 1280 Main St W, Hamilton, Ontario L8S 4L8, Canada. Electronic address: bartosj@mcmaster.ca.
  • Gutiérrez García M; Faculty of Science, National Autonomous University of Mexico, University City, Coyoacán, Mexico City 04510, Mexico.
  • Díaz Martínez JP; Department of Health Research Methods, Evidence, and Impact, McMaster University, 1280 Main St W, Hamilton, Ontario L8S 4L8, Canada.
  • Yegorov S; Institute for Infectious Disease Research, McMaster University, 1280 Main St W, Hamilton, Ontario L8S 4L8, Canada; Department of Biochemistry and Biomedical Sciences, McMaster University, 1280 Main St W, Hamilton, Ontario L8S 4L8, Canada.
  • Brignardello-Petersen R; Department of Health Research Methods, Evidence, and Impact, McMaster University, 1280 Main St W, Hamilton, Ontario L8S 4L8, Canada.
  • Mertz D; Department of Health Research Methods, Evidence, and Impact, McMaster University, 1280 Main St W, Hamilton, Ontario L8S 4L8, Canada; Institute for Infectious Disease Research, McMaster University, 1280 Main St W, Hamilton, Ontario L8S 4L8, Canada; Department of Medicine, McMaster University, 1280 Ma
  • Thabane L; Department of Health Research Methods, Evidence, and Impact, McMaster University, 1280 Main St W, Hamilton, Ontario L8S 4L8, Canada; Departments of Anesthesia and Pediatrics, McMaster University, 1280 Main St W, Hamilton, Ontario L8S 4L8, Canada; Biostatistics Unit, St. Joseph's Healthcare Hamilton,
  • Loeb M; Department of Health Research Methods, Evidence, and Impact, McMaster University, 1280 Main St W, Hamilton, Ontario L8S 4L8, Canada; Institute for Infectious Disease Research, McMaster University, 1280 Main St W, Hamilton, Ontario L8S 4L8, Canada; Department of Pathology and Molecular Medicine, McMa
J Clin Epidemiol ; 166: 111238, 2024 Feb.
Article em En | MEDLINE | ID: mdl-38081440
ABSTRACT

OBJECTIVES:

Combining multivariate and network meta-analysis methods simultaneously in a multivariate network meta-analysis (MVNMA) provides the methodological framework to analyze the largest amount of evidence relevant to decision-makers (i.e., from indirect evidence and correlated outcomes). The objectives of this scoping review were to summarize the characteristics of MVNMAs published in the health sciences literature and map the methodological guidance available for MVNMA. STUDY DESIGN AND

SETTING:

We searched MEDLINE, Embase, and the Cumulative Index to Nursing and Allied Health Literature from inception to 28 August 2023, along with citations of included studies, for quantitative evidence syntheses that applied MVNMA and articles addressing MVNMA methods. Pairs of reviewers independently screened potentially eligible studies. Collected data included bibliographic, methodological, and analytical characteristics of included studies. We reported results as total numbers, frequencies, and percentages for categorical variables and medians and interquartile ranges for continuous variables that were not normally distributed.

RESULTS:

After screening 1,075 titles and abstracts, and 112 full texts, we included 38 unique studies, of which, 10 were quantitative evidence syntheses that applied MVNMA and 28 were articles addressing MVNMA methods. Among the 10 MVNMAs, the first was published in 2013, four used studies identified from already published systematic reviews, and eight addressed pharmacological interventions, which were the most common interventions. They evaluated interventions for metastatic melanoma, colorectal cancer, prostate cancer, oral hygiene, disruptive behavior disorders, rheumatoid arthritis, narcolepsy, type 2 diabetes, and overactive bladder syndrome. Five MVNMAs analyzed two outcomes simultaneously, and four MVNMAs analyzed three outcomes simultaneously. Among the articles addressing MVNMA methods, the first was published in 2007 and the majority provided methodological frameworks for conducting MVNMAs (26/28, 93%). One study proposed criteria to standardize reporting of MVNMAs and two proposed items relevant to the quality assessment of MVNMAs. Study authors used data from 18 different illnesses to provide illustrative examples within their methodological guidance.

CONCLUSIONS:

The application of MVNMA in the health sciences literature is uncommon. Many methodological frameworks are published; however, standardization and specific criteria to guide reporting and quality assessment are lacking. This overview of the current landscape may help inform future conduct of MVNMAs and research on MVNMA methods.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Análise Multivariada / Metanálise em Rede Tipo de estudo: Systematic_reviews Limite: Humans / Male Idioma: En Revista: J Clin Epidemiol Assunto da revista: EPIDEMIOLOGIA Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Análise Multivariada / Metanálise em Rede Tipo de estudo: Systematic_reviews Limite: Humans / Male Idioma: En Revista: J Clin Epidemiol Assunto da revista: EPIDEMIOLOGIA Ano de publicação: 2024 Tipo de documento: Article