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Volumn 17, Issue 2, 2014, Pages 157-173

Indirect treatment comparison/network meta-analysis study questionnaire to assess relevance and credibility to inform health care decision making: An ISPOR-AMCP-NPC good practice task force report

Author keywords

bias; checklist; credibility; decision making; indirect comparisons; mixed treatment comparisons; multiple treatment comparison; network meta analysis; questionnaire; relevance; validity

Indexed keywords

PLACEBO;

EID: 84896381773     PISSN: 10983015     EISSN: 15244733     Source Type: Journal    
DOI: 10.1016/j.jval.2014.01.004     Document Type: Article
Times cited : (252)

References (38)
  • 1
    • 84896367143 scopus 로고    scopus 로고
    • A questionnaire to assess the relevance and credibility of observational studies to inform health care decision making: An ISPOR-AMCP-NPC Good Practice Task Force Report
    • M. Berger, B. Martin, and D. Husereau et al. A questionnaire to assess the relevance and credibility of observational studies to inform health care decision making: an ISPOR-AMCP-NPC Good Practice Task Force Report Value Health 17 2014 143-156
    • (2014) Value Health , vol.17 , pp. 143-156
    • Berger, M.1    Martin, B.2    Husereau, D.3
  • 2
    • 84896339928 scopus 로고    scopus 로고
    • A modeling study questionnaire to assess study relevance and credibility to inform health care decision making: An ISPOR-AMCP-NPC Good Practice Task Force report
    • J.J. Caro, D.M. Eddy, and H. Kan et al. A modeling study questionnaire to assess study relevance and credibility to inform health care decision making: an ISPOR-AMCP-NPC Good Practice Task Force report Value Health 17 2014 174-182
    • (2014) Value Health , vol.17 , pp. 174-182
    • Caro, J.J.1    Eddy, D.M.2    Kan, H.3
  • 4
    • 26944454062 scopus 로고    scopus 로고
    • Simultaneous comparison of multiple treatments: Combining direct and indirect evidence
    • D.M. Caldwell, A.E. Ades, and JPT Higgins Simultaneous comparison of multiple treatments: combining direct and indirect evidence BMJ 331 2005 897 900 (Pubitemid 41502718)
    • (2005) British Medical Journal , vol.331 , Issue.7521 , pp. 897-900
    • Caldwell, D.M.1    Ades, A.E.2    Higgins, J.P.T.3
  • 5
    • 33750339712 scopus 로고    scopus 로고
    • Indirect comparisons: The mesh and mess of clinical trials
    • J.P.A. Ioannidis Indirect comparisons: the mesh and mess of clinical trials Lancet 368 2006 1470 1472
    • (2006) Lancet , vol.368 , pp. 1470-1472
    • Ioannidis, J.P.A.1
  • 6
    • 51149095603 scopus 로고    scopus 로고
    • Use of indirect and mixed treatment comparisons for technology assessment
    • A. Sutton, A.E. Ades, N. Cooper, and K. Abrams Use of indirect and mixed treatment comparisons for technology assessment Pharmacoeconomics 26 2008 753 767
    • (2008) Pharmacoeconomics , vol.26 , pp. 753-767
    • Sutton, A.1    Ades, A.E.2    Cooper, N.3    Abrams, K.4
  • 8
    • 0030793120 scopus 로고    scopus 로고
    • The results of direct and indirect treatment comparisons in meta-analysis of randomized controlled trials
    • DOI 10.1016/S0895-4356(97)00049-8, PII S0895435697000498
    • H.C. Bucher, G.H. Guyatt, L.E. Griffith, and S.D. Walter The results of direct and indirect treatment comparisons in meta-analysis of randomized controlled trials J Clin Epidemiol 50 1997 683 691 (Pubitemid 27341818)
    • (1997) Journal of Clinical Epidemiology , vol.50 , Issue.6 , pp. 683-691
    • Bucher, H.C.1    Guyatt, G.H.2    Griffith, L.E.3    Walter, S.D.4
  • 9
    • 0037374008 scopus 로고    scopus 로고
    • Validity of indirect comparison for estimating efficacy of competing interventions: Empirical evidence from published meta-analyses
    • F. Song, D.G. Altman, A. Glenny, and J.J. Deeks Validity of indirect comparison for estimating efficacy of competing interventions: empirical evidence from published meta-analyses BMJ 326 2003 472
    • (2003) BMJ , vol.326 , pp. 472
    • Song, F.1    Altman, D.G.2    Glenny, A.3    Deeks, J.J.4
  • 10
    • 5044221416 scopus 로고    scopus 로고
    • Combination of direct and indirect evidence in mixed treatment comparisons
    • DOI 10.1002/sim.1875
    • G. Lu, and A.E. Ades Combination of direct and indirect evidence in mixed treatment comparisons Stat Med 23 2004 3105 3124 (Pubitemid 39334902)
    • (2004) Statistics in Medicine , vol.23 , Issue.20 , pp. 3105-3124
    • Lu, G.1    Ades, A.E.2
  • 11
    • 84880165113 scopus 로고    scopus 로고
    • Demystifying trial networks and network meta-analysis
    • E. Mills, K. Thorlund, and J. Ioannidis Demystifying trial networks and network meta-analysis BMJ 346 2013 f2914
    • (2013) BMJ , vol.346 , pp. 2914
    • Mills, E.1    Thorlund, K.2    Ioannidis, J.3
  • 12
    • 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
    • S. Dias, A.J. Sutton, A.E. Ades, and N.J. Welton Evidence synthesis for decision making, 2: a generalized linear modeling framework for pairwise and network meta-analysis of randomized controlled trials Med Decis Making 33 2013 607 617
    • (2013) Med Decis Making , vol.33 , pp. 607-617
    • Dias, S.1    Sutton, A.J.2    Ades, A.E.3    Welton, N.J.4
  • 13
    • 79959925787 scopus 로고    scopus 로고
    • Interpreting indirect treatment comparisons & network meta-analysis for health care decision making: Report of the ISPOR Task Force on Good Research Practices - Part 1
    • J.P. Jansen, R. Fleurence, and B. Devine et al. Interpreting indirect treatment comparisons & network meta-analysis for health care decision making: report of the ISPOR Task Force on Good Research Practices - part 1 Value Health 14 2011 417 428
    • (2011) Value Health , vol.14 , pp. 417-428
    • Jansen, J.P.1    Fleurence, R.2    Devine, B.3
  • 14
    • 79959960493 scopus 로고    scopus 로고
    • Conducting indirect treatment comparison and network meta-analysis studies: Report of the ISPOR Task Force on Indirect Treatment Comparisons Good Research Practices - Part 2
    • D.C. Hoaglin, N. Hawkins, and J.P. Jansen et al. Conducting indirect treatment comparison and network meta-analysis studies: report of the ISPOR Task Force on Indirect Treatment Comparisons Good Research Practices - part 2 Value Health 14 2011 429 437
    • (2011) Value Health , vol.14 , pp. 429-437
    • Hoaglin, D.C.1    Hawkins, N.2    Jansen, J.P.3
  • 15
  • 16
    • 84879775275 scopus 로고    scopus 로고
    • Evidence synthesis for decision making, 7: A reviewer's checklist
    • A.E. Ades, D.M. Caldwell, and S. Reken et al. Evidence synthesis for decision making, 7: a reviewer's checklist Med Decis Making 33 2013 679 691
    • (2013) Med Decis Making , vol.33 , pp. 679-691
    • Ades, A.E.1    Caldwell, D.M.2    Reken, S.3
  • 17
    • 78649754570 scopus 로고    scopus 로고
    • Indirect comparisons: A review of reporting and methodological quality
    • S. Donegan, P. Williamson, C. Gamble, and C. Tudur-Smith Indirect comparisons: a review of reporting and methodological quality PLoS One 5 2010 e11054
    • (2010) PLoS One , vol.5 , pp. 11054
    • Donegan, S.1    Williamson, P.2    Gamble, C.3    Tudur-Smith, C.4
  • 18
    • 69149107165 scopus 로고    scopus 로고
    • Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement
    • the PRISMA Group W64
    • D. Moher, A. Liberati, J. Tetzlaff, D.G. Altman the PRISMA Group Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement Ann Intern Med 151 2009 264 269 W64
    • (2009) Ann Intern Med , vol.151 , pp. 264-269
    • Moher, D.1    Liberati, A.2    Tetzlaff, J.3    Altman, D.G.4
  • 19
    • 84859001212 scopus 로고    scopus 로고
    • The Cochrane Collaboration's tool for assessing risk of bias in randomised trials
    • Cochrane Bias Methods Group; Cochrane Statistical Methods Group
    • J.P. Higgins, D.G. Altman, P.C. Gøtzsche Cochrane Bias Methods Group; Cochrane Statistical Methods Group The Cochrane Collaboration's tool for assessing risk of bias in randomised trials BMJ 343 2011 d5928
    • (2011) BMJ , vol.343 , pp. 5928
    • Higgins, J.P.1    Altman, D.G.2    Gøtzsche, P.C.3
  • 20
    • 77951994489 scopus 로고    scopus 로고
    • Assessing the potential for outcome reporting bias in a review: A tutorial
    • K. Dwan, C. Gamble, and R. Kolamunnage-Dona et al. Assessing the potential for outcome reporting bias in a review: a tutorial Trials 11 2010 52
    • (2010) Trials , vol.11 , pp. 52
    • Dwan, K.1    Gamble, C.2    Kolamunnage-Dona, R.3
  • 21
    • 52649100566 scopus 로고    scopus 로고
    • Bayesian meta-analysis of multiple treatment comparisons: An introduction to mixed treatment comparisons
    • J.P. Jansen, B. Crawford, G. Bergman, and W. Stam Bayesian meta-analysis of multiple treatment comparisons: an introduction to mixed treatment comparisons Value Health 11 2008 956 964
    • (2008) Value Health , vol.11 , pp. 956-964
    • Jansen, J.P.1    Crawford, B.2    Bergman, G.3    Stam, W.4
  • 22
    • 84861583031 scopus 로고    scopus 로고
    • Direct acyclic graphs can help understand bias in indirect and mixed treatment comparisons
    • J.P. Jansen, C.H. Schmid, and G. Salanti Direct acyclic graphs can help understand bias in indirect and mixed treatment comparisons J Clin Epidemiol 65 2012 798 807
    • (2012) J Clin Epidemiol , vol.65 , pp. 798-807
    • Jansen, J.P.1    Schmid, C.H.2    Salanti, G.3
  • 23
    • 0037098178 scopus 로고    scopus 로고
    • How should meta-regression analyses be undertaken and interpreted?
    • DOI 10.1002/sim.1187
    • S.G. Thompson, and J.P. Higgins How should meta-regression analyses be undertaken and interpreted? Stat Med 21 2002 1559 1573 (Pubitemid 34746063)
    • (2002) Statistics in Medicine , vol.21 , Issue.11 , pp. 1559-1573
    • Thompson, S.G.1    Higgins, J.P.T.2
  • 24
    • 4444333174 scopus 로고    scopus 로고
    • Meta-regression detected associations between heterogeneous treatment effects and study-level, but not patient-level, factors
    • DOI 10.1016/j.jclinepi.2003.12.001, PII S089543560300430X
    • C.H. Schmid, P.C. Stark, and J.A. Berlin et al. Meta-regression detected associations between heterogeneous treatment effects and study-level, but not patient-level, factors J Clin Epidemiol 57 2004 683 697 (Pubitemid 39195218)
    • (2004) Journal of Clinical Epidemiology , vol.57 , Issue.7 , pp. 683-697
    • Schmid, C.H.1    Stark, P.C.2    Berlin, J.A.3    Landais, P.4    Lau, J.5
  • 25
    • 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
    • N.J. Cooper, A.J. Sutton, and D. Morris et al. Addressing between-study heterogeneity and inconsistency in mixed treatment comparisons: application to stroke prevention treatments in individuals with non-rheumatic atrial fibrillation Stat Med 28 2009 1861 1881
    • (2009) Stat Med , vol.28 , pp. 1861-1881
    • Cooper, N.J.1    Sutton, A.J.2    Morris, D.3
  • 26
    • 67649303082 scopus 로고    scopus 로고
    • A case study of multiple-treatments meta-analysis demonstrates that covariates should be considered
    • G. Salanti, V. Marinho, and J.P. Higgins A case study of multiple-treatments meta-analysis demonstrates that covariates should be considered J Clin Epidemiol 62 2009 857 864
    • (2009) J Clin Epidemiol , vol.62 , pp. 857-864
    • Salanti, G.1    Marinho, V.2    Higgins, J.P.3
  • 27
    • 77954764836 scopus 로고    scopus 로고
    • Estimation and adjustment of bias in randomised evidence using mixed treatment comparison meta-analysis
    • S. Dias, N. Welton, and V.C.C. Marinho et al. Estimation and adjustment of bias in randomised evidence using mixed treatment comparison meta-analysis J Royal Stat Soc A 173 2010 613 629
    • (2010) J Royal Stat Soc A , vol.173 , pp. 613-629
    • Dias, S.1    Welton, N.2    Marinho, V.C.C.3
  • 28
    • 84873707843 scopus 로고    scopus 로고
    • Network meta-analysis of individual and aggregate level data
    • J.P. Jansen Network meta-analysis of individual and aggregate level data Res Synth Meth 3 2012 177 190
    • (2012) Res Synth Meth , vol.3 , pp. 177-190
    • Jansen, J.P.1
  • 29
    • 84870254031 scopus 로고    scopus 로고
    • Mixed treatment comparisons using aggregate and individual participant level data
    • P. Saramago, A.J. Sutton, N.J. Cooper, and A. Manca Mixed treatment comparisons using aggregate and individual participant level data Stat Med 31 2012 3516 3536
    • (2012) Stat Med , vol.31 , pp. 3516-3536
    • Saramago, P.1    Sutton, A.J.2    Cooper, N.J.3    Manca, A.4
  • 30
    • 84870064743 scopus 로고    scopus 로고
    • Assessing the consistency assumption by exploring treatment by covariate interactions in mixed treatment comparison meta-analysis: Individual patient-level covariates versus aggregate trial-level covariates
    • S. Donegan, P. Williamson, U. D'Alessandro, and C. Tudur Smith Assessing the consistency assumption by exploring treatment by covariate interactions in mixed treatment comparison meta-analysis: individual patient-level covariates versus aggregate trial-level covariates Stat Med 31 2012 3840 3857
    • (2012) Stat Med , vol.31 , pp. 3840-3857
    • Donegan, S.1    Williamson, P.2    D'Alessandro, U.3    Tudur Smith, C.4
  • 31
    • 33745663057 scopus 로고    scopus 로고
    • Assessing evidence inconsistency in mixed treatment comparisons
    • DOI 10.1198/016214505000001302
    • G. Lu, and A.E. Ades Assessing evidence inconsistency in mixed treatment comparisons J Am Stat Assoc 101 2006 447 459 (Pubitemid 43972289)
    • (2006) Journal of the American Statistical Association , vol.101 , Issue.474 , pp. 447-459
    • Lu, G.1    Ades, A.E.2
  • 32
    • 77949420042 scopus 로고    scopus 로고
    • Checking consistency in mixed treatment comparison meta-analysis
    • S. Dias, N.J. Welton, D.M. Caldwell, and A.E. Ades Checking consistency in mixed treatment comparison meta-analysis Stat Med 29 2010 932 944
    • (2010) Stat Med , vol.29 , pp. 932-944
    • Dias, S.1    Welton, N.J.2    Caldwell, D.M.3    Ades, A.E.4
  • 33
    • 27944450011 scopus 로고    scopus 로고
    • The interpretation of random-effects meta-analysis in decision models
    • DOI 10.1177/0272989X05282643
    • A.E. Ades, G. Lu, and J.P. Higgins The interpretation of random-effects meta-analysis in decision models Med Dec Making 25 2005 646 654 (Pubitemid 41667133)
    • (2005) Medical Decision Making , vol.25 , Issue.6 , pp. 646-654
    • Ades, A.E.1    Lu, G.2    Higgins, J.P.T.3
  • 35
    • 0033564491 scopus 로고    scopus 로고
    • Toward evidence-based medical statistics. 1: The P value fallacy
    • S.N. Goodman Towards evidence based medical statistics, 1: the P value fallacy Ann Intern Med 120 1999 995 1004 (Pubitemid 29283991)
    • (1999) Annals of Internal Medicine , vol.130 , Issue.12 , pp. 995-1004
    • Goodman, S.N.1
  • 37
    • 78650509651 scopus 로고    scopus 로고
    • Graphical methods and numerical summaries for presenting results from multiple-treatment meta-analysis: An overview and tutorial
    • G. Salanti, A.E. Ades, and J.P. Ioannidis Graphical methods and numerical summaries for presenting results from multiple-treatment meta-analysis: an overview and tutorial J Clin Epidemiol 64 2011 163 171
    • (2011) J Clin Epidemiol , vol.64 , pp. 163-171
    • Salanti, G.1    Ades, A.E.2    Ioannidis, J.P.3


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