Single-agent maintenance therapy for advanced non-small cell lung cancer (NSCLC): A systematic review and Bayesian network meta-analysis of 26 randomized controlled trials

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Abstract

Background The benefit of maintenance therapy has been confirmed in patients with non-progressing non-small cell lung cancer (NSCLC) after first-line therapy by many trials and meta-analyses. However, since few head-to-head trials between different regimens have been reported, clinicians still have little guidance on how to select the most efficacious single-agent regimen. Hence, we present a network meta-analysis to assess the comparative treatment efficacy of several single-agent maintenance therapy regimens for stage III/IV NSCLC. Methods A comprehensive literature search of public databases and conference proceedings was performed. Randomized clinical trials (RCTs) meeting the eligible criteria were integrated into a Bayesian network meta-analysis. The primary outcome was overall survival (OS) and the secondary outcome was progression free survival (PFS). Results A total of 26 trials covering 7,839 patients were identified, of which 24 trials were included in the OS analysis, while 23 trials were included in the PFS analysis. Switch-racotumomab-alum vaccine and switch-pemetrexed were identified as the most efficacious regimens based on OS (HR, 0.64; 95% CrI, 0.45-0.92) and PFS (HR, 0.54; 95% CrI, 0.26-1.04) separately. According to the rank order based on OS, switch-racotumomab-alum vaccine had the highest probability as the most effective regimen (52%), while switch-pemetrexed ranked first (34%) based on PFS. Conclusions Several single-agent maintenance therapy regimens can prolong OS and PFS for stage III/IV NSCLC. Switch-racotumomab-alum vaccine maintenance therapy may be the most optimal regimen, but should be confirmed by additional evidence.

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Wang, Q., Huang, H., Zeng, X., Ma, Y., Zhao, X., & Huang, M. (2016). Single-agent maintenance therapy for advanced non-small cell lung cancer (NSCLC): A systematic review and Bayesian network meta-analysis of 26 randomized controlled trials. PeerJ, 2016(10). https://doi.org/10.7717/peerj.2550

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