From: Data visualisation approaches for component network meta-analysis: visualising the data structure
First Author | Publication Year | Network Plot | Summary Forest Plot | Ranking Components Plot | Other Plot (which) | Component Effects Table | Intervention Effects Table | Ranking Components Table | Other Table (which) |
---|---|---|---|---|---|---|---|---|---|
Rücker [9] | 2019 | No | Intervention level | No | No | Yes | No | No | No |
Rücker [12] | 2020 | Yes | Intervention level | No | Yes (Line plot for treatment effects from multiple models) | No | No | Yes | Yes (Model fit) |
Mills [13] | 2011 | Yes | Intervention level | No | No | Yes | Yes | Yes | No |
Pompoli [17] | 2018 | Yes | No | No | Yes (Risk of bias) | Yes | No | No | No |
Miklowitz [18] | 2020 | Yes | No | No | No | Yes | Yes | No | Yes (Risk of bias) |
Mills [19] | 2012 | Yes | No | No | No | Yes | Yes | No | No |
Shi [20] | 2020 | Yes | Intervention level | Yes | Yes (Risk of bias) | No | No | No | Yes (Risk of bias, meta-regression) |
Caldwell [21] | 2016 | Yes | Component level | No | No | No | No | No | No |
Freeman [3] | 2018 | Yes | Component & Intervention level | Yes | Yes (Line plot showing how outcome changes over covariate values) | Yes | No | No | Yes (Model fit) |
Kabboul [22] | 2018 | No | No | No | Yes (Risk of bias, histogram of posterior distributions) | Yes | No | No | Yes (Model fit) |
Hartmann-Boyce [1] | 2021 | No | Component level | No | Yes (Contour plot for model fit, risk of bias) | Yes | No | No | No |
López-López [23] | 2019 | Yes | Component & Intervention level | No | Yes (Risk of bias) | No | No | No | Yes (Model fit) |
Riemsma [24] | 2011 | Yes | No | No | No | Yes | Yes | No | No |
Melton [25] | 2020 | Yes | No | No | Yes (Risk of bias) | Yes | No | No | Yes (Model fit) |
Madan [11] | 2014 | Yes | No | No | No | Yes | No | No | Yes (Model fit) |
Chen [26] | 2012 | Yes | No | No | Yes (Funnel plot, caterpillar plot) | No | Yes | No | No |
Weibel [27] | 2020 | Yes | Intervention level | No | Yes (Risk of bias) | No | No | No | No |
Danko [28] | 2018 | No | Component level | Yes | Yes (line plots, histograms) | Yes | Yes | No | No |
Welton [8] | 2009 | No | No | No | No | Yes | No | No | Yes (Model fit) |
Coventry [29] | 2020 | Yes | No | No | No | No | No | No | No |
Petropoulou [30] | 2020 | Yes | Intervention level | No | No | No | No | No | No |
Smith [31] | 2021 | Yes | No | No | No | Yes | Yes | No | No |
Sposito [32] | 2021 | No | Intervention level | No | No | No | No | No | No |
Launder [33] | Unpublished | Yes | Component & Intervention level | No | No | No | No | No | No |
Fujii [34] | 2022 | Yes | No | No | Yes (Funnel plot, league tables, risk of bias) | Yes | No | No | No |
Dautzenberg [35] | 2021 | Yes | No | No | No | Yes | No | No | No |
Dautzenberg [36] | 2021 | Yes | No | No | No | Yes | Yes | No | No |
Burton [37] | 2021 | No | Component level | No | Yes (Risk of bias) | No | No | No | No |
Wang [38] | 2021 | Yes | Intervention level | No | Yes (Funnel plot, risk of bias) | No | No | No | No |
Fong [39] | 2021 | Yes | Component & Intervention level | No | Yes (Funnel plot, risk of bias) | No | No | No | No |
Roberts [40] | 2021 | Yes | No | No | Yes (Risk of bias) | No | No | No | No |
Cintra [41] | 2021 | No | Intervention level | No | No | No | Yes | No | No |
Bálint [42] | 2021 | Yes | No | No | No | Yes | Yes | No | No |
Veroniki [43] | 2022 | Yes | No | No | No | Yes | Yes | No | No |