医学
危险系数
内科学
比例危险模型
置信区间
肺癌
荟萃分析
肿瘤科
生存分析
作者
Emily Pei-Ying Lin,Chih–Yuan Hsu,Jeng-Fong Chiou,Lynne D. Berry,Leora Horn,Paul A. Bunn,James Chih‐Hsin Yang,Pan‐Chyr Yang,Alex A. Adjei,Yu Shyr
标识
DOI:10.1016/j.jtho.2022.08.010
摘要
Abstract
Introduction
Survival benefit of immune checkpoint inhibitor (ICI) therapy in lung cancer is not fully understood. Methods
PubMed-cataloged publications through February 14, 2022, were queried for randomized controlled trials of ICI in lung cancer, and identified publications were reviewed for inclusion. Reported Cox hazard ratios (HRs) for overall survival were transformed to Cox-TEL HR for ICI short-term survivors (ST-HR) and difference in proportions for patients with long-term survival (LT-DP). Meta-analyses were performed using a frequentist random-effect model. Outcomes of interest were pooled overall survival Cox HR, ST-HR, and LT-DP in NSCLC, stratified by programmed death-ligand 1 (PD-L1) level (primary outcome) and ICI treatment line (secondary). Results
A total of nine publications representing eight clinical trials were selected for meta-analysis. Primary analysis yielded the following metrics for patients with PD-L1 expression less than 1%, more than or equal to 1%, and more than or equal to 50%, respectively: pooled Cox HR, 0.71 (95% confidence interval [CI]: 0.62–0.82), 0.74 (95% CI: 0.68–0.82), and 0.62 (95% CI: 0.54–0.70); pooled ST-HR, 0.91 (95% CI: 0.79–1.05), 0.88 (95% CI: 0.82–0.94), and 0.70 (95% CI: 0.60–0.83); and pooled LT-DP, 0.10 (95% CI: 0.00–0.20), 0.09 (95% CI: 0.06–0.12), and 0.11 (95% CI: 0.05–0.17). Results of secondary analysis revealed LT-DP of approximately 10% across treatment lines. Conclusions
This study reveals an approximately 10% long-term survival probability increment in ICI long-term survivors across PD-L1–positive subpopulations in both ICI treatment lines. Furthermore, ST-HR was consistently poorer than Cox HR. For patients with PD-L1 less than 1%, neither LT-DP nor ST-HR achieved statistical significance. The analysis provides greater insight into the treatment effect of ICI in published trials.
科研通智能强力驱动
Strongly Powered by AbleSci AI