• Medicine · May 2024

    Meta Analysis

    The efficacy and safety of apatinib combined with S-1 for advanced gastric cancer: A systematic review and meta-analysis.

    • Xing Chen, Lifu Wan, Yao He, Qin Zhang, and Xiaoyuan Zheng.
    • Pharmacy Department, Chongqing Emergency Medical Center, Chongqing, China.
    • Medicine (Baltimore). 2024 May 24; 103 (21): e38272e38272.

    BackgroundAdvanced gastric cancer (AGC) that does not respond to first-line therapy poses a challenge to clinical management. The objective of this study was to compare the efficacy and safety of apatinib combined with S-1 in second-line and above treatment of AGC.MethodsCochrane Library, Science Direct, EMBASE, PubMed, and CNKI were searched for randomized controlled trial until August 2023. Only patients who met "Standardized Diagnosis and Treatment Guide for Gastric Cancer" were included in the study. The accurate data and distinguishing between follow-up time and drug dose were extracted to reduce heterogeneity and the risk of bias of the included trials was evaluated according to the Cochrane Handbook. Finally, the survival benefit of the treatment was evaluated based on clinical response rate, survival period, biochemical index, and adverse event occurrence in the trial.ResultsThe meta-analysis included 29 randomized controlled trials involving 2149 participants. Statistically significant increases in clinical effective rate (odds ratios = 2.61, 95% confidence interval [2.13-3.20], P < .00001) and disease control rate (odds ratios = 3.16, 95% confidence interval [2.54-3.94], P < .00001) were found when apatinib combined with S-1, and also had obvious advantages in reducing tumor markers and regulating immune factors. In addition, apatinib combined with S-1 significantly increased the risk of hypertension but reduced damage to liver function, while the improvement of other adverse events was not pronounced.DiscussionApatinib combined with S-1 is more effective and safe for second-line and above treatment of AGC. This study minimized the conclusion bias caused by the basic data sources, but more high-quality studies are still needed to validate these conclusions.Copyright © 2024 the Author(s). Published by Wolters Kluwer Health, Inc.

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