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Volumn 36, Issue 8, 2017, Pages 1210-1226

Combining randomized and non-randomized evidence in network meta-analysis

Author keywords

cohort studies; mixed treatment comparison; multiple treatments meta analysis; observational data; observational evidence; observational studies

Indexed keywords

NEUROLEPTIC AGENT;

EID: 85014384083     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.7223     Document Type: Article
Times cited : (133)

References (63)
  • 1
    • 84883349815 scopus 로고    scopus 로고
    • An introduction to methodological issues when including non-randomised studies in systematic reviews on the effects of interventions
    • Reeves BC, Higgins JPT, Ramsay C, Shea B, Tugwell P, Wells GA. An introduction to methodological issues when including non-randomised studies in systematic reviews on the effects of interventions. Research Synthesis Methods 2013; 4:1–11.
    • (2013) Research Synthesis Methods , vol.4 , pp. 1-11
    • Reeves, B.C.1    Higgins, J.P.T.2    Ramsay, C.3    Shea, B.4    Tugwell, P.5    Wells, G.A.6
  • 2
    • 84892894883 scopus 로고    scopus 로고
    • Non-randomized studies as a source of complementary, sequential or replacement evidence for randomized controlled trials in systematic reviews on the effects of interventions
    • Schünemann HJ, Tugwell P, Reeves BC, Akl EA, Santesso N, Spencer FA, Shea B, Wells G, Helfand M. Non-randomized studies as a source of complementary, sequential or replacement evidence for randomized controlled trials in systematic reviews on the effects of interventions. Research Synthesis Methods 2013; 4:49–62.
    • (2013) Research Synthesis Methods , vol.4 , pp. 49-62
    • Schünemann, H.J.1    Tugwell, P.2    Reeves, B.C.3    Akl, E.A.4    Santesso, N.5    Spencer, F.A.6    Shea, B.7    Wells, G.8    Helfand, M.9
  • 4
    • 84946399593 scopus 로고    scopus 로고
    • Network meta-analysis incorporating randomized controlled trials and non-randomized comparative cohort studies for assessing the safety and effectiveness of medical treatments: challenges and opportunities
    • Cameron C, Fireman B, Hutton B, Clifford T, Coyle D, Wells G, Dormuth CR, Platt R, Toh S. Network meta-analysis incorporating randomized controlled trials and non-randomized comparative cohort studies for assessing the safety and effectiveness of medical treatments: challenges and opportunities. Systematic Reviews 2015; 4:147.
    • (2015) Systematic Reviews , vol.4 , pp. 147
    • Cameron, C.1    Fireman, B.2    Hutton, B.3    Clifford, T.4    Coyle, D.5    Wells, G.6    Dormuth, C.R.7    Platt, R.8    Toh, S.9
  • 6
    • 11444261579 scopus 로고    scopus 로고
    • External validity of randomised controlled trials: “To whom do the results of this trial apply?
    • Rothwell PM. External validity of randomised controlled trials: “To whom do the results of this trial apply?”. The Lancet 2005; 365:82–93.
    • (2005) The Lancet , vol.365 , pp. 82-93
    • Rothwell, P.M.1
  • 9
    • 84938693553 scopus 로고    scopus 로고
    • Combining randomized and non-randomized evidence in clinical research: a review of methods and applications
    • Verde PE, Ohmann C. Combining randomized and non-randomized evidence in clinical research: a review of methods and applications. Research Synthesis Methods 2015; 6:45–62.
    • (2015) Research Synthesis Methods , vol.6 , pp. 45-62
    • Verde, P.E.1    Ohmann, C.2
  • 10
    • 0344897785 scopus 로고    scopus 로고
    • Bayesian approaches to multiple sources of evidence and uncertainty in complex cost-effectiveness modelling
    • Spiegelhalter DJ, Best NG. Bayesian approaches to multiple sources of evidence and uncertainty in complex cost-effectiveness modelling. Statistics in Medicine 2003; 22:3687–3709.
    • (2003) Statistics in Medicine , vol.22 , pp. 3687-3709
    • Spiegelhalter, D.J.1    Best, N.G.2
  • 12
    • 16244423743 scopus 로고    scopus 로고
    • Adjusted likelihoods for synthesizing empirical evidence from studies that differ in quality and design: effects of environmental tobacco smoke
    • Wolpert RL, Mengersen KL. Adjusted likelihoods for synthesizing empirical evidence from studies that differ in quality and design: effects of environmental tobacco smoke. Statistical Science 2004; 19:450–471.
    • (2004) Statistical Science , vol.19 , pp. 450-471
    • Wolpert, R.L.1    Mengersen, K.L.2
  • 14
    • 84880045342 scopus 로고    scopus 로고
    • Incorporating data from various trial designs into a mixed treatment comparison model
    • Schmitz S, Adams R, Walsh C. Incorporating data from various trial designs into a mixed treatment comparison model. Statistics in Medicine 2013; 32:2935–2949.
    • (2013) Statistics in Medicine , vol.32 , pp. 2935-2949
    • Schmitz, S.1    Adams, R.2    Walsh, C.3
  • 21
    • 84879740382 scopus 로고    scopus 로고
    • Evidence synthesis for decision making 2: a generalized linear modeling framework for pairwise and network meta-analysis of randomized controlled trials
    • Dias S, Sutton AJ, Ades AE, Welton NJ. Evidence synthesis for decision making 2: a generalized linear modeling framework for pairwise and network meta-analysis of randomized controlled trials. Medical Decision Making 2013; 33:607–617.
    • (2013) Medical Decision Making , vol.33 , pp. 607-617
    • Dias, S.1    Sutton, A.J.2    Ades, A.E.3    Welton, N.J.4
  • 22
    • 84959501663 scopus 로고    scopus 로고
    • Planning future studies based on the precision of network meta-analysis results
    • Nikolakopoulou A, Mavridis D, Salanti G. Planning future studies based on the precision of network meta-analysis results. Statistics in Medicine 2016; 35:978–1000.
    • (2016) Statistics in Medicine , vol.35 , pp. 978-1000
    • Nikolakopoulou, A.1    Mavridis, D.2    Salanti, G.3
  • 23
    • 0030463880 scopus 로고    scopus 로고
    • Borrowing strength from external trials in a meta-analysis
    • Higgins JPT, Whitehead A. Borrowing strength from external trials in a meta-analysis. Statistics in Medicine 1996; 15:2733–2749.
    • (1996) Statistics in Medicine , vol.15 , pp. 2733-2749
    • Higgins, J.P.T.1    Whitehead, A.2
  • 25
    • 33745663057 scopus 로고    scopus 로고
    • Assessing evidence inconsistency in mixed treatment comparisons
    • Lu G, Ades AE. Assessing evidence inconsistency in mixed treatment comparisons. Journal of the American Statistical Association 2006; 101:447–459.
    • (2006) Journal of the American Statistical Association , vol.101 , pp. 447-459
    • Lu, G.1    Ades, A.E.2
  • 26
    • 84907813077 scopus 로고    scopus 로고
    • Characteristics of a loop of evidence that affect detection and estimation of inconsistency: a simulation study
    • Veroniki AA, Mavridis D, Higgins JP, Salanti G. Characteristics of a loop of evidence that affect detection and estimation of inconsistency: a simulation study. BMC Medical Research Methodology 2014; 14:106.
    • (2014) BMC Medical Research Methodology , vol.14 , pp. 106
    • Veroniki, A.A.1    Mavridis, D.2    Higgins, J.P.3    Salanti, G.4
  • 28
    • 69949092149 scopus 로고    scopus 로고
    • Addressing between-study heterogeneity and inconsistency in mixed treatment comparisons: application to stroke prevention treatments in individuals with non-rheumatic atrial fibrillation
    • Cooper NJ, Sutton AJ, Morris D, Ades AE, Welton NJ. Addressing between-study heterogeneity and inconsistency in mixed treatment comparisons: application to stroke prevention treatments in individuals with non-rheumatic atrial fibrillation. Statistics in Medicine 2009; 28:1861–1881.
    • (2009) Statistics in Medicine , vol.28 , pp. 1861-1881
    • Cooper, N.J.1    Sutton, A.J.2    Morris, D.3    Ades, A.E.4    Welton, N.J.5
  • 29
    • 67649303082 scopus 로고    scopus 로고
    • A case study of multiple-treatments meta-analysis demonstrates that covariates should be considered
    • Salanti G, Marinho V, Higgins JPT. A case study of multiple-treatments meta-analysis demonstrates that covariates should be considered. Journal of Clinical Epidemiology 2009; 62:857–864.
    • (2009) Journal of Clinical Epidemiology , vol.62 , pp. 857-864
    • Salanti, G.1    Marinho, V.2    Higgins, J.P.T.3
  • 30
    • 84870924535 scopus 로고    scopus 로고
    • Network meta-analysis models to account for variability in treatment definitions: application to dose effects
    • Del Giovane C, Vacchi L, Mavridis D, Filippini G, Salanti G. Network meta-analysis models to account for variability in treatment definitions: application to dose effects. Statistics in Medicine 2013; 32:25–39.
    • (2013) Statistics in Medicine , vol.32 , pp. 25-39
    • Del Giovane, C.1    Vacchi, L.2    Mavridis, D.3    Filippini, G.4    Salanti, G.5
  • 31
    • 84895915896 scopus 로고    scopus 로고
    • Hierarchical network meta-analysis models to address sparsity of events and differing treatment classifications with regard to adverse outcomes
    • Warren FC, Abrams KR, Sutton AJ. Hierarchical network meta-analysis models to address sparsity of events and differing treatment classifications with regard to adverse outcomes. Statistics in Medicine 2014; 33:2449–2466.
    • (2014) Statistics in Medicine , vol.33 , pp. 2449-2466
    • Warren, F.C.1    Abrams, K.R.2    Sutton, A.J.3
  • 32
    • 84899926019 scopus 로고    scopus 로고
    • An approach for modelling multiple correlated outcomes in a network of interventions using odds ratios
    • Efthimiou O, Mavridis D, Cipriani A, Leucht S, Bagos P, Salanti G. An approach for modelling multiple correlated outcomes in a network of interventions using odds ratios. Statistics in Medicine 2014; 33:2275–2287.
    • (2014) Statistics in Medicine , vol.33 , pp. 2275-2287
    • Efthimiou, O.1    Mavridis, D.2    Cipriani, A.3    Leucht, S.4    Bagos, P.5    Salanti, G.6
  • 33
    • 84922496739 scopus 로고    scopus 로고
    • Joint synthesis of multiple correlated outcomes in networks of interventions
    • Efthimiou O, Mavridis D, Riley RD, Cipriani A, Salanti G. Joint synthesis of multiple correlated outcomes in networks of interventions. Biostatistics 2015; 16:84–97.
    • (2015) Biostatistics , vol.16 , pp. 84-97
    • Efthimiou, O.1    Mavridis, D.2    Riley, R.D.3    Cipriani, A.4    Salanti, G.5
  • 37
    • 0034702175 scopus 로고    scopus 로고
    • Randomized, controlled trials, observational studies, and the hierarchy of research designs
    • Concato J, Shah N, Horwitz RI. Randomized, controlled trials, observational studies, and the hierarchy of research designs. The New England Journal of Medicine 2000; 342:1887–1892.
    • (2000) The New England Journal of Medicine , vol.342 , pp. 1887-1892
    • Concato, J.1    Shah, N.2    Horwitz, R.I.3
  • 38
    • 0034702233 scopus 로고    scopus 로고
    • A comparison of observational studies and randomized, controlled trials
    • Benson K, Hartz AJ. A comparison of observational studies and randomized, controlled trials. New England Journal of Medicine 2000; 342:1878–1886.
    • (2000) New England Journal of Medicine , vol.342 , pp. 1878-1886
    • Benson, K.1    Hartz, A.J.2
  • 40
    • 84884991169 scopus 로고    scopus 로고
    • Issues relating to confounding and meta-analysis when including non-randomized studies in systematic reviews on the effects of interventions
    • Valentine JC, Thompson SG. Issues relating to confounding and meta-analysis when including non-randomized studies in systematic reviews on the effects of interventions. Research Synthesis Methods 2013; 4:26–35.
    • (2013) Research Synthesis Methods , vol.4 , pp. 26-35
    • Valentine, J.C.1    Thompson, S.G.2
  • 41
    • 84901502488 scopus 로고    scopus 로고
    • Healthcare outcomes assessed with observational study designs compared with those assessed in randomized trials
    • MR000034
    • Anglemyer A, Horvath HT, Bero L. Healthcare outcomes assessed with observational study designs compared with those assessed in randomized trials. Cochrane Database of Systematic Reviews 2014; 4 MR000034.
    • (2014) Cochrane Database of Systematic Reviews , vol.4
    • Anglemyer, A.1    Horvath, H.T.2    Bero, L.3
  • 44
    • 0002083004 scopus 로고    scopus 로고
    • Power prior distributions for regression models
    • Ibrahim JG, Chen M-H. Power prior distributions for regression models. Statistical Science 2000; 15:46–60.
    • (2000) Statistical Science , vol.15 , pp. 46-60
    • Ibrahim, J.G.1    Chen, M.-H.2
  • 47
    • 84954287051 scopus 로고    scopus 로고
    • Addressing potential prior-data conflict when using informative priors in proof-of-concept studies
    • Mutsvari T, Tytgat D, Walley R. Addressing potential prior-data conflict when using informative priors in proof-of-concept studies. Pharmaceutical Statistics 2016; 15:28–36.
    • (2016) Pharmaceutical Statistics , vol.15 , pp. 28-36
    • Mutsvari, T.1    Tytgat, D.2    Walley, R.3
  • 48
    • 0034736553 scopus 로고    scopus 로고
    • Hierarchical models in generalized synthesis of evidence: an example based on studies of breast cancer screening
    • Prevost TC, Abrams KR, Jones DR. Hierarchical models in generalized synthesis of evidence: an example based on studies of breast cancer screening. Statistics in Medicine 2000; 19:3359–3376.
    • (2000) Statistics in Medicine , vol.19 , pp. 3359-3376
    • Prevost, T.C.1    Abrams, K.R.2    Jones, D.R.3
  • 50
    • 84879754189 scopus 로고    scopus 로고
    • Evidence synthesis for decision making 4: inconsistency in networks of evidence based on randomized controlled trials
    • Dias S, Welton NJ, Sutton AJ, Caldwell DM, Lu G, Ades AE. Evidence synthesis for decision making 4: inconsistency in networks of evidence based on randomized controlled trials. Medical Decision Making 2013; 33:641–656.
    • (2013) Medical Decision Making , vol.33 , pp. 641-656
    • Dias, S.1    Welton, N.J.2    Sutton, A.J.3    Caldwell, D.M.4    Lu, G.5    Ades, A.E.6
  • 52
    • 84874724764 scopus 로고    scopus 로고
    • A graphical tool for locating inconsistency in network meta-analyses
    • Krahn U, Binder H, König J. A graphical tool for locating inconsistency in network meta-analyses. BMC Medical Research Methodology 2013; 13:35.
    • (2013) BMC Medical Research Methodology , vol.13 , pp. 35
    • Krahn, U.1    Binder, H.2    König, J.3
  • 53
    • 84963799463 scopus 로고    scopus 로고
    • Using the contribution matrix to evaluate complex study limitations in a network meta-analysis: a case study of bipolar maintenance pharmacotherapy review
    • Furukawa TA, Miura T, Chaimani A, Leucht S, Cipriani A, Noma H, Mitsuyasu H, Kanba S, Salanti G. Using the contribution matrix to evaluate complex study limitations in a network meta-analysis: a case study of bipolar maintenance pharmacotherapy review. BMC Research Notes 2016; 9:218.
    • (2016) BMC Research Notes , vol.9 , pp. 218
    • Furukawa, T.A.1    Miura, T.2    Chaimani, A.3    Leucht, S.4    Cipriani, A.5    Noma, H.6    Mitsuyasu, H.7    Kanba, S.8    Salanti, G.9
  • 56
    • 84870066370 scopus 로고    scopus 로고
    • Quantifying the impact of between-study heterogeneity in multivariate meta-analyses
    • Jackson D, White IR, Riley RD. Quantifying the impact of between-study heterogeneity in multivariate meta-analyses. Statistics in Medicine 2012; 31:3805–3820.
    • (2012) Statistics in Medicine , vol.31 , pp. 3805-3820
    • Jackson, D.1    White, I.R.2    Riley, R.D.3
  • 58
    • 85001084853 scopus 로고    scopus 로고
    • Network meta-analysis
    • White IR. Network meta-analysis. Stata Journal 2015; 15:951–985.
    • (2015) Stata Journal , vol.15 , pp. 951-985
    • White, I.R.1
  • 59
    • 0006407254 scopus 로고    scopus 로고
    • WinBUGS &Ndash; a Bayesian modelling framework: concepts, structure, and extensibility
    • Lunn DJ, Thomas A, Best N, Spiegelhalter D. WinBUGS &Ndash; a Bayesian modelling framework: concepts, structure, and extensibility. Statistics and Computing 2000; 10:325–337.
    • (2000) Statistics and Computing , vol.10 , pp. 325-337
    • Lunn, D.J.1    Thomas, A.2    Best, N.3    Spiegelhalter, D.4
  • 61
    • 0030793120 scopus 로고    scopus 로고
    • The results of direct and indirect treatment comparisons in meta-analysis of randomized controlled trials
    • Bucher HC, Guyatt GH, Griffith LE, Walter SD. The results of direct and indirect treatment comparisons in meta-analysis of randomized controlled trials. Journal of Clinical Epidemiology 1997; 50:683–691.
    • (1997) Journal of Clinical Epidemiology , vol.50 , pp. 683-691
    • Bucher, H.C.1    Guyatt, G.H.2    Griffith, L.E.3    Walter, S.D.4
  • 63
    • 78650509651 scopus 로고    scopus 로고
    • Graphical methods and numerical summaries for presenting results from multiple-treatment meta-analysis: an overview and tutorial
    • Salanti G, Ades AE, Ioannidis JPA. Graphical methods and numerical summaries for presenting results from multiple-treatment meta-analysis: an overview and tutorial. Journal of Clinical Epidemiology 2011; 64:163–171.
    • (2011) Journal of Clinical Epidemiology , vol.64 , pp. 163-171
    • Salanti, G.1    Ades, A.E.2    Ioannidis, J.P.A.3


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