TY - JOUR
T1 - Critical Appraisal of Published Indirect Comparisons and Network Meta-Analyses of Competing Interventions for Multiple Myeloma
AU - Cope, Shannon
AU - Toor, Kabirraaj
AU - Popoff, Evan
AU - Fonseca, Rafael
AU - Landgren, Ola
AU - Mateos, María Victoria
AU - Weisel, Katja
AU - Jansen, Jeroen Paul
N1 - Funding Information:
Source of financial support: This manuscript was funded by Amgen Inc, USA.
Funding Information:
Source of financial support: This manuscript was funded by Amgen Inc, USA. Conflict of interest: (Mateos): Honoraria from lectures: Janssen, Celgene, Amgen, Takeda; Scientific advisory board: Janssen, Celgene, Amgen, Takeda, Abbvie, GSK, Pharmamar. (Fonseca): Consulting: Amgen, BMS, Celgene, Takeda, Bayer, Janssen, Novartis, Pharmacyclics, Sanofi, Merck, Juno, Kite, Aduro, AbbVie, Karyopharm. Scientific Advisory Board Adaptive Biotechnologies. (Weisel): Honoraria: Amgen, BMS, Celgene, Janssen, Takeda. Advisory Board: Amgen, BMS, Celgene, Janssen, Juno, Novartis, Sanofi. Research funding: Amgen, Celgene, Sanofi, Janssen. (Landgren): Received research funding from: National Institutes of Health, US Food and Drug Administration, Multiple Myeloma Research Foundation, International Myeloma Foundation, Leukemia and Lymphoma Society, Perelman Family Foundation, Rising Tides Foundation, Amgen, Celgene, Janssen, Takeda, Glenmark, Seattle Genetics, Karyopharm; Honoraria/ad boards: Adaptive, Amgen, Binding Site, BMS, Celgene, Cellectis, Glenmark, Janssen, Juno, Pfizer; and serves on Independent Data Monitoring Committees for clinical trials lead by Takeda, Novartis, Janssen.
Publisher Copyright:
© 2020 ISPOR–The Professional Society for Health Economics and Outcomes Research
PY - 2020/4
Y1 - 2020/4
N2 - Objectives: In the field of relapsed or refractory multiple myeloma (RRMM), between-trial or indirect comparisons are required to estimate relative treatment effects between competing interventions based on the available evidence. Two approaches are frequently used in RRMM: network meta-analysis (NMA) and unanchored matching-adjusted indirect comparison (MAIC). The objective of the current study was to evaluate the relevance and credibility of published NMA and unanchored MAIC studies aiming to estimate the comparative efficacy of treatment options for RRMM. Methods: Twelve relevant studies were identified in the published literature (n = 7) and from health technology assessment agencies (n = 5). Data from trials were extracted to identify between-trial differences that may have biased results. Credibility of the performed analyses and relevance of the research questions were critically appraised using the International Society for Pharmacoeconomics and Outcomes Research (ISPOR) checklist and feedback based on consultations with clinical experts. Results: The identified studies concerned NMAs of randomized controlled trials (RCTs; n = 7), unanchored MAICs (n = 4), or both types of analyses (n = 1). According to clinical expert consultation, the majority of the identified NMAs did not consider differences in prior therapies or treatment duration across the RCTs included in the analyses, thereby compromising the relevance. Conclusion: Based on the results and feedback from clinicians, the majority of NMAs did not consider prior treatment history or treatment duration, which resulted in nonrelevant comparisons. Furthermore, it may have compromised the credibility of the estimates owing to differences in effect-modifiers between the different trials. Pairwise comparisons by means of unanchored MAICs require clear justification given the reliance on non-randomized comparisons.
AB - Objectives: In the field of relapsed or refractory multiple myeloma (RRMM), between-trial or indirect comparisons are required to estimate relative treatment effects between competing interventions based on the available evidence. Two approaches are frequently used in RRMM: network meta-analysis (NMA) and unanchored matching-adjusted indirect comparison (MAIC). The objective of the current study was to evaluate the relevance and credibility of published NMA and unanchored MAIC studies aiming to estimate the comparative efficacy of treatment options for RRMM. Methods: Twelve relevant studies were identified in the published literature (n = 7) and from health technology assessment agencies (n = 5). Data from trials were extracted to identify between-trial differences that may have biased results. Credibility of the performed analyses and relevance of the research questions were critically appraised using the International Society for Pharmacoeconomics and Outcomes Research (ISPOR) checklist and feedback based on consultations with clinical experts. Results: The identified studies concerned NMAs of randomized controlled trials (RCTs; n = 7), unanchored MAICs (n = 4), or both types of analyses (n = 1). According to clinical expert consultation, the majority of the identified NMAs did not consider differences in prior therapies or treatment duration across the RCTs included in the analyses, thereby compromising the relevance. Conclusion: Based on the results and feedback from clinicians, the majority of NMAs did not consider prior treatment history or treatment duration, which resulted in nonrelevant comparisons. Furthermore, it may have compromised the credibility of the estimates owing to differences in effect-modifiers between the different trials. Pairwise comparisons by means of unanchored MAICs require clear justification given the reliance on non-randomized comparisons.
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U2 - 10.1016/j.jval.2019.11.003
DO - 10.1016/j.jval.2019.11.003
M3 - Article
C2 - 32327161
AN - SCOPUS:85082822463
SN - 1098-3015
VL - 23
SP - 441
EP - 450
JO - Value in Health
JF - Value in Health
IS - 4
ER -