The Optimal Treatment for Resectable Esophageal Cancer: A Network Meta-Analysis of 6168 Patients

医学 新辅助治疗 食管癌 肿瘤科 荟萃分析 内科学 随机对照试验 危险系数 放射治疗 放化疗 科克伦图书馆 外科 癌症 置信区间 乳腺癌
作者
Meng Yuan,Yongxing Bao,Zeliang Ma,Yu Men,Yang Wang,Zhouguang Hui
出处
期刊:Frontiers in Oncology [Frontiers Media SA]
卷期号:11 被引量:16
标识
DOI:10.3389/fonc.2021.628706
摘要

The optimal treatment for resectable esophageal cancer remains unclear. This network meta-analysis compares the efficacy of different treatments. PubMed, Embase, and the Cochrane library were systematically screened. Randomized controlled trials comparing the efficacy of different treatments for resectable esophageal cancer were included. Hazard ratios (HR) for overall survival (OS), progression-free survival, or disease-free survival, and odds ratios for locoregional recurrence and distant metastasis rates were identified as the measurements of efficacy. A Bayesian network meta-analysis was performed. In this study, 26 studies were included. Patients received either surgery alone; neoadjuvant chemotherapy (CT), neoadjuvant radiotherapy (RT), or neoadjuvant chemoradiotherapy (CRT) followed by surgery; or surgery followed by adjuvant CT, adjuvant RT, or adjuvant CRT. Neoadjuvant CRT followed by surgery (pooled HR = 0.76, 95% credible interval: 0.67–0.85) and neoadjuvant CT followed by surgery compared with surgery alone were the only two showing statistically confident improvement on OS. Ranking analysis showed that neoadjuvant CRT with surgery was likely to be the best option in terms of efficacy. Therefore, for patients with resectable esophageal cancer, neoadjuvant CRT with surgery is the optimal treatment. Future studies should focus on the optimization of neoadjuvant CRT regimens.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
医者完成签到,获得积分10
2秒前
2秒前
西瓜刀发布了新的文献求助10
3秒前
3秒前
周轩发布了新的文献求助10
3秒前
Crane发布了新的文献求助10
4秒前
4秒前
6秒前
6秒前
6秒前
小马甲应助下次一定采纳,获得10
6秒前
小二郎应助jg采纳,获得10
7秒前
7秒前
10秒前
11秒前
11秒前
11秒前
茹茹发布了新的文献求助10
12秒前
一号位完成签到,获得积分20
12秒前
聆听发布了新的文献求助10
12秒前
12秒前
能干彤完成签到,获得积分10
13秒前
越旻发布了新的文献求助10
15秒前
下次一定发布了新的文献求助10
15秒前
16秒前
laifeihong发布了新的文献求助50
17秒前
Jessica完成签到,获得积分0
17秒前
量子星尘发布了新的文献求助10
17秒前
出其东门完成签到,获得积分10
17秒前
核动力驴应助霍元甲采纳,获得10
18秒前
上官若男应助霍元甲采纳,获得10
18秒前
Mida应助开花不铁树采纳,获得10
21秒前
打打应助chemlink采纳,获得10
24秒前
24秒前
鱻雩关注了科研通微信公众号
26秒前
细心的思远完成签到,获得积分20
27秒前
爆米花应助ap2010采纳,获得30
27秒前
29秒前
29秒前
李健的小迷弟应助isabellae采纳,获得10
29秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Encyclopedia of Reproduction Third Edition 3000
Comprehensive Methanol Science Production, Applications, and Emerging Technologies 2000
化妆品原料学 1000
《药学类医疗服务价格项目立项指南(征求意见稿)》 1000
The Political Psychology of Citizens in Rising China 600
1st Edition Sports Rehabilitation and Training Multidisciplinary Perspectives By Richard Moss, Adam Gledhill 600
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5633845
求助须知:如何正确求助?哪些是违规求助? 4729625
关于积分的说明 14986791
捐赠科研通 4791677
什么是DOI,文献DOI怎么找? 2558987
邀请新用户注册赠送积分活动 1519408
关于科研通互助平台的介绍 1479690