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Veroniki, Areti Angeliki; Tsokani, Sofia; Zevgiti, Stella; Pagkalidou, Irene; Kontouli, Katerina-Maria; Ambarcioglu, Pinar; Pandis, Nikos; Lunny, Carole; Nikolakopoulou, Adriani; Papakonstantinou, Theodoros; Chaimani, Anna; Straus, Sharon E; Hutton, Brian; Tricco, Andrea C; Mavridis, Dimitris; Salanti, Georgia (2022). Correction: Do reporting guidelines have an impact? Empirical assessment of changes in reporting before and after the PRISMA extension statement for network meta-analysis. Systematic Reviews, 11(1), p. 112. BioMed Central 10.1186/s13643-022-01988-3
Papakonstantinou, Theodoros; Salanti, Georgia; Mavridis, Dimitris; Rücker, Gerta; Schwarzer, Guido; Nikolakopoulou, Adriani (2022). Answering complex hierarchy questions in network meta-analysis. BMC Medical research methodology, 22(1), p. 47. BioMed Central 10.1186/s12874-021-01488-3
Chiocchia, Virginia; Nikolakopoulou, Adriani; Higgins, Julian P T; Page, Matthew J; Papakonstantinou, Theodoros; Cipriani, Andrea; Furukawa, Toshi A; Siontis, George C.M.; Egger, Matthias; Salanti, Georgia (2021). ROB-MEN: a tool to assess risk of bias due to missing evidence in network meta-analysis. BMC medicine, 19(1), p. 304. BioMed Central 10.1186/s12916-021-02166-3
Veroniki, Areti Angeliki; Tsokani, Sofia; Zevgiti, Stella; Pagkalidou, Irene; Kontouli, Katerina-Maria; Ambarcioglu, Pinar; Pandis, Nikos; Lunny, Carole; Nikolakopoulou, Adriani; Papakonstantinou, Theodoros; Chaimani, Anna; Straus, Sharon E; Hutton, Brian; Tricco, Andrea C; Mavridis, Dimitris; Salanti, Georgia (2021). Do reporting guidelines have an impact? Empirical assessment of changes in reporting before and after the PRISMA extension statement for network meta-analysis. Systematic Reviews, 10(1), p. 246. BioMed Central 10.1186/s13643-021-01780-9
Salanti, Georgia; Cipriani, Andrea; Furukawa, Toshi A; Peter, Natalie; Tonia, Thomy; Papakonstantinou, Theodoros; Holloway, Alexander; Leucht, Stefan (2021). An efficient way to assess the effect of COVID-19 on mental health in the general population [correspondence]. The Lancet. Psychiatry, 8(5), e14-e15. Elsevier 10.1016/S2215-0366(21)00067-5
Nikolakopoulou, Adriani; Mavridis, Dimitris; Chiocchia, Virginia; Papakonstantinou, Theodoros; Furukawa, Toshi A; Salanti, Georgia (2021). Network meta-analysis results against a fictional treatment of average performance: treatment effects and ranking metric. Research Synthesis Methods, 12(2), pp. 161-175. Wiley 10.1002/jrsm.1463
Leucht, Stefan; Cipriani, Andrea; Furukawa, Toshi A; Peter, Natalie; Tonia, Thomy; Papakonstantinou, Theodoros; Holloway, Alexander; Salanti, Georgia (2021). A living meta-ecological study of the consequences of the COVID-19 pandemic on mental health. European archives of psychiatry and clinical neuroscience, 271(2), pp. 219-221. Springer 10.1007/s00406-021-01242-2
Papakonstantinou, Theodoros; Nikolakopoulou, Adriani; Egger, Matthias; Salanti, Georgia (2021). Meta-analysis as a system of springs. Research Synthesis Methods, 12(1), pp. 20-28. Wiley 10.1002/jrsm.1470
Chiocchia, Virginia; Nikolakopoulou, Adriani; Papakonstantinou, Theodoros; Egger, Matthias; Salanti, Georgia (2020). Agreement between ranking metrics in network meta-analysis: an empirical study. BMJ open, 10(8), e037744. BMJ Publishing Group 10.1136/bmjopen-2020-037744
Rücker, Gerta; Nikolakopoulou, Adriani; Papakonstantinou, Theodoros; Salanti, Georgia; Riley, Richard D; Schwarzer, Guido (2020). The statistical importance of a study for a network meta-analysis estimate. BMC Medical research methodology, 20(1), p. 190. BioMed Central 10.1186/s12874-020-01075-y
Papakonstantinou, Theodoros; Nikolakopoulou, Adriani; Egger, Matthias; Salanti, Georgia (2020). In network meta-analysis most of the information comes from indirect evidence: empirical study. Journal of clinical epidemiology, 124, pp. 42-49. Elsevier 10.1016/j.jclinepi.2020.04.009
Nikolakopoulou, Adriani; Higgins, Julian P T; Papakonstantinou, Theodoros; Chaimani, Anna; Del Giovane, Cinzia; Egger, Matthias; Salanti, Georgia (2020). CINeMA: An approach for assessing confidence in the results of a network meta-analysis. PLoS medicine, 17(4), e1003082. Public Library of Science 10.1371/journal.pmed.1003082
Papakonstantinou, Theodoros; Nikolakopoulou, Adriani; Higgins, Julian P. T.; Egger, Matthias; Salanti, Georgia (2020). CINeMA: Software for semiautomated assessment of the confidence in the results of network meta‐analysis. Campbell Systematic Reviews, 16(1), e1080. Wiley 10.1002/cl2.1080
Papakonstantinou, Theodoros; Nikolakopoulou, Adriani; Rücker, Gerta; Chaimani, Anna; Schwarzer, Guido; Egger, Matthias; Salanti, Georgia (2018). Estimating the contribution of studies in network meta-analysis: paths, flows and streams. F1000Research, 7, p. 610. F1000 Research Ltd 10.12688/f1000research.14770.2
Papakonstantinou, Theodoros (2019). Reproducible repository for Empirical study of the contribution of evidence in network meta-analysis [Dataset]. In: Empirical study of the contribution of evidence in network meta-analysis.
