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Utilizing radar graphs in the visualization of simulation and estimation results in network meta‐analysis Early View

  • Journal: Research Synthesis Methods
  • Authors: Svenja E. Seide, Katrin Jensen, Meinhard Kieser
  • Published Date: May 05, 2020

Traditional visualization in meta‐analysis uses forest plots to illustrate the combined treatment effect, along with the respective results from primary trials. While the purpose of visualization is...

Risk‐of‐bias VISualization (robvis): An R package and Shiny web app for visualizing risk‐of‐bias assessments Early View

  • Journal: Research Synthesis Methods
  • Authors: Luke A. McGuinness, Julian P. T. Higgins
  • Published Date: May 06, 2020

Despite a major increase in the range and number of software offerings now available to help researchers produce evidence syntheses, there is currently no generic tool for producing figures to display...

Random‐effects meta‐analysis of combined outcomes based on reconstructions of individual patient data Early View

  • Journal: Research Synthesis Methods
  • Authors: Yue Song, Feng Sun, Susan Redline, Rui Wang
  • Published Date: May 08, 2020

Meta‐analyses of clinical trials typically focus on one outcome at a time. However, treatment decision‐making depends on an overall assessment of outcomes balancing benefit in various domains and...

Visualizing the evolution of evidence: Cumulative network meta‐analyses of new generation antidepressants in the last 40 years Early View

  • Journal: Research Synthesis Methods
  • Authors: Yan Luo, Anna Chaimani, Toshi A. Furukawa, Yuki Kataoka, Yusuke Ogawa, Andrea Cipriani, Georgia Salanti
  • Published Date: May 25, 2020

It is often challenging to present the available evidence in a timely and comprehensible manner. We aimed to visualize the evolution of evidence about antidepressants for depression by conducting...

The orchard plot: Cultivating a forest plot for use in ecology, evolution, and beyond Early View

  • Journal: Research Synthesis Methods
  • Authors: Shinichi Nakagawa, Malgorzata Lagisz, Rose E. O'Dea, Joanna Rutkowska, Yefeng Yang, Daniel W. A. Noble, Alistair M. Senior
  • Published Date: Jun 11, 2020

“Classic” forest plots show the effect sizes from individual studies and the aggregate effect from a meta‐analysis. However, in ecology and evolution, meta‐analyses routinely contain over 100 effect...

Development and validation of study filters for identifying controlled non‐randomized studies in PubMed and Ovid MEDLINE Early View

  • Journal: Research Synthesis Methods
  • Authors: Siw Waffenschmidt, Tamara Navarro‐Ruan, Nick Hobson, Elke Hausner, Stefan Sauerland, R Brian Haynes
  • Published Date: Jun 25, 2020

A retrospective analysis published by the German Institute for Quality and Efficiency in Health Care (IQWiG) in 2018 concluded that no filter for non‐randomized studies (NRS) achieved sufficient...

“It has no meaning to me.” How do researchers understand the effectiveness of literature searches? A qualitative analysis and preliminary typology of understandings Early View

  • Journal: Research Synthesis Methods
  • Authors: Chris Cooper, Ruth Garside, Joanna Varley‐Campbell, Juan Talens‐Bou, Andrew Booth, Nicky Britten
  • Published Date: Jul 01, 2020

This study aimed to address the question: what does “effectiveness” mean to researchers in the context of literature searching for systematic reviews? We conducted a thematic analysis of responses to...

Using collaboration networks to identify authorship dependence in meta‐analysis results Early View

  • Journal: Research Synthesis Methods
  • Authors: Thiago C. Moulin, Olavo B. Amaral
  • Published Date: Jul 06, 2020

Meta‐analytic methods are powerful resources to summarize the existing evidence concerning a given research question and are widely used in many academic fields. Meta‐analyzes can also be used to...

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