Treatment Outcomes in Patients With Newly Diagnosed Multiple Myeloma Who Are Ineligible for Stem-Cell Transplantation: Systematic Review and Network Meta-analysis

摘要

Many new regimens have been applied to newly diagnosed transplant-ineligible multiple myeloma, but no head-tohead research has been performed to compare the efficacy of these treatments. Currently lenalidomide plus dexamethasone (Rd) is one of the standard treatments. Our aim was to make a comparison of these treatments to Rd by a network meta-analysis. We performed a systematic review and network meta-analysis. We searched PubMed, Embase, and the Cochrane Library for articles published from January 1, 1988, to April 26, 2018, as well as research presented at 5 international conferences (American Society of Clinical Oncology, American Society of Hematology, European Hematology Association, European Society of Medical Oncology, and International Myeloma Working Group) between January 2015 and December 2018. Our interest outcomes were hazard ratios (HRs) for progression-free survival (PFS) and overall survival (OS). Bayesian fixed-effects mixed-treatment comparisons were used for this study. A total of 23 articles describing 10,401 participants were included for this network meta-analysis. Lenalidomide and dexamethasone plus daratumumab (HR, 0.57; 95% credible interval [CrI], 0.43-0.73), daratumumab plus bortezomib, melphalan, and prednisone (HR, 0.59; 95% CrI, 0.36-0.91), and the combination of bortezomib with lenalidomide and dexamethasone (RVd) (HR, 0.72, 95% CrI, 0.56-0.90) all showed significant effect compared to Rd for PFS. RVd demonstrated significant benefit compared to Rd (HR, 0.72; 95% CrI, 0.53-0.96) for OS. Our study results suggested that lenalidomide and dexamethasone plus daratumumab; daratumumab plus bortezomib, melphalan, and prednisone; and RVd showed better efficacy than Rd in PFS; and RVd showed better efficacy than Rd in OS in patients with newly diagnosed transplant-ineligible multiple myeloma in the absence of head-to-head research. (C) 2019 Elsevier Inc. All rights reserved.