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Evaluation of immunotherapy and targeted therapy treatment on renal cell carcinoma: A Bayesian network analysis

Clinical trials have previously assessed various therapies for renal cell carcinoma (RCC); however, there is currently a lack of direct comparisons between these therapies. The present study identified published studies on RCC through Web of Science, PubMed, EMBASE, Cochrane Library of Controlled Tr...

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Published in:Oncology letters 2020-01, Vol.19 (1), p.261-270
Main Authors: Wei, Wei, Peng, Ruihao, Kuang, Lishan, Xu, Changyuan, Cao, Yan, Zeng, Luqing, Wen, Ximei, Qin, Qianqian, Zheng, Cuncai, Li, Wenyun, Xia, Sujian
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container_end_page 270
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container_title Oncology letters
container_volume 19
creator Wei, Wei
Peng, Ruihao
Kuang, Lishan
Xu, Changyuan
Cao, Yan
Zeng, Luqing
Wen, Ximei
Qin, Qianqian
Zheng, Cuncai
Li, Wenyun
Xia, Sujian
description Clinical trials have previously assessed various therapies for renal cell carcinoma (RCC); however, there is currently a lack of direct comparisons between these therapies. The present study identified published studies on RCC through Web of Science, PubMed, EMBASE, Cochrane Library of Controlled Trials and Clinical trials.gov that were written in the English language and published by February 2019. The data were selected and extracted independently by two reviewers. Standard pair-wise meta-analyses were performed using Stata. Network meta-analyses were subsequently performed using WinBUGS (version 1.4.3). The primary outcome of the present study was progression-free survival (PFS). Secondary outcomes included overall survival (OS), objective response rate (ORR) and adverse events of various targeted therapies. The results were presented as cumulative odds ratio, hazard ratio, corresponding 95% confidence interval and the surface under the cumulative ranking curve, which was used to rank the probabilities and outcome of each treatment in RCC. A total of 31 eligible publications for 18 randomized controlled trials consisting of 11,498 participants were included in the present study. The network meta-analyses revealed that a combination of lenvantinib and everolimus ranked first out of 16 treatments in terms of PFS, OS and ORR (probability of 54.0, 53.4 and 61.0%, respectively).
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The present study identified published studies on RCC through Web of Science, PubMed, EMBASE, Cochrane Library of Controlled Trials and Clinical trials.gov that were written in the English language and published by February 2019. The data were selected and extracted independently by two reviewers. Standard pair-wise meta-analyses were performed using Stata. Network meta-analyses were subsequently performed using WinBUGS (version 1.4.3). The primary outcome of the present study was progression-free survival (PFS). Secondary outcomes included overall survival (OS), objective response rate (ORR) and adverse events of various targeted therapies. The results were presented as cumulative odds ratio, hazard ratio, corresponding 95% confidence interval and the surface under the cumulative ranking curve, which was used to rank the probabilities and outcome of each treatment in RCC. 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subjects Analysis
Angiogenesis
Anopheles
Antineoplastic agents
Axitinib
Bevacizumab
Cabozantinib
Cancer
Cancer treatment
Carcinoma
Cell cycle
Cell growth
Chemotherapy
Citation management software
Clinical trials
Development and progression
Disease
Drug therapy
Everolimus
Immunotherapy
Intervention
Kidney cancer
Kinases
Medical prognosis
Medical research
Meta-analysis
Metastasis
Mortality
Nivolumab
Oncology
Pazopanib
Renal cell carcinoma
Sorafenib
Studies
Sunitinib
Temsirolimus
Tumors
Vascular endothelial growth factor
title Evaluation of immunotherapy and targeted therapy treatment on renal cell carcinoma: A Bayesian network analysis
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