Efficacy and safety of tyrosine kinase inhibitors in advanced non-small-cell lung cancer harboring epidermal growth factor receptor mutation: a network meta-analysis

Author:

Alanazi Abdullah12ORCID,Yunusa Ismaeel3ORCID,Elenizi Khaled4ORCID,Alzarea Abdulaziz I2ORCID

Affiliation:

1. Department of Pharmaceutical Economics and Policy, School of Pharmacy, Massachusetts College of Pharmacy and Health Sciences (MCPHS), Boston, MA 02115, USA

2. College of Pharmacy, Jouf University, Sakaka, Aljouf 72341, Saudi Arabia

3. University of South Carolina College of Pharmacy, Columbia, SC 29208, USA

4. Department of Internal Medicine College of Medicine, Prince Sattam bin Abdulaziz University, Alkharj 11942, Saudi Arabia

Abstract

Aim: To compare the efficacy and safety of tyrosine kinase inhibitors (TKIs) as first-line treatment in patients with locally advanced or metastatic non-small-cell lung cancer (NSCLC) with positive EGFR mutation. Materials & methods: Following a systematic literature review until December 2019, we conducted a random-effects pairwise and network meta-analyses (NMA). We ranked treatments for efficacy and safety based on the surface under the cumulative ranking curve (SUCRA). Results: Tyrosine kinase inhibitors of the epidermal growth factor receptor (EGFR-TKI) improved survival outcomes with fewer grade 3 or higher adverse events compared to chemotherapy. Overall survival results suggest that osimertinib has the highest probability of being the most efficacious (SUCRA, 79.9%), followed by dacomitinib (SUCRA, 75.8%). Adverse events results suggest that osimertinib (SUCRA, 84.3%) and gefitinib (SUCRA, 78.9%) has the highest probability of being the safest. Conclusion: In this NMA, we found that osimertinib is the most efficacious and safest EGFR-TKI. These results may guide clinicians in choosing the most appropriate treatment option among EGFR-TKIs for their patient’s individual clinical characteristics.

Publisher

Future Medicine Ltd

Subject

Pulmonary and Respiratory Medicine,Oncology

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3