Comparing Robotic, Thoracoscopic, and Open Segmentectomy: A National Cancer Database Analysis

医学 国家数据库 普通外科 数据库 计算机科学
作者
Raul Caso,Thomas J. Watson,Eshetu Tefera,Robert J. Cerfolio,Abbas E. Abbas,John F. Lazar,Marc Margolis,Ann E. Hwalek,Puja Gaur Khaitan
出处
期刊:Journal of Surgical Research [Elsevier]
卷期号:296: 674-680
标识
DOI:10.1016/j.jss.2024.01.028
摘要

Abstract

Introduction

Minimally invasive approaches to lung resection have become widely acceptable and more recently, segmentectomy has demonstrated equivalent oncologic outcomes when compared to lobectomy for early-stage non-small cell lung cancer (NSCLC). However, studies comparing outcomes following segmentectomy by different surgical approaches are lacking. Our objective was to investigate the outcomes of patients undergoing robotic, video-assisted thoracoscopic surgery (VATS), or open segmentectomy for NSCLC using the National Cancer Database.

Methods

NSCLC patients with clinical stage I who underwent segmentectomy from 2010 to 2016 were identified. After propensity-score matching (1:4:1), multivariate logistic regression analyses were performed to determine predictors of 30-d readmissions, 90-d mortality, and overall survival.

Results

22,792 patients met study inclusion. After matching, approaches included robotic (n = 2493; 17%), VATS (n = 9972; 66%), and open (n = 2493; 17%). An open approach was associated with higher 30-d readmissions (7% open versus 5.5% VATS versus 5.6% robot, P = 0.033) and 90-d mortality (4.4% open versus 2.2% VATS versus 2.5% robot, P < 0.001). A robotic approach was associated with improved 5-y survival (50% open versus 58% VATS versus 63% robot, P < 0.001).

Conclusions

For patients with clinical stage I NSCLC undergoing segmentectomy, compared to the open approach, a VATS approach was associated with lower 30-d readmission and 90-d mortality. A robotic approach was associated with improved 5-y survival compared to open and VATS approaches when matched. Additional studies are necessary to determine if unrecognized covariates contribute to these differences.
最长约 10秒,即可获得该文献文件

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
SweepingMonk应助jonghuang采纳,获得10
2秒前
L_发布了新的文献求助10
4秒前
Huy_rin完成签到,获得积分10
4秒前
Owen应助evelyn采纳,获得10
4秒前
5秒前
Owen应助SXR采纳,获得10
5秒前
5秒前
你好世界完成签到,获得积分10
6秒前
6秒前
自然墨镜应助西子阳采纳,获得10
6秒前
仿真小学生完成签到,获得积分10
8秒前
古炮发布了新的文献求助30
9秒前
可爱的函函应助追寻涵易采纳,获得10
9秒前
123发布了新的文献求助10
10秒前
11秒前
11秒前
LIU完成签到 ,获得积分10
13秒前
Zn0103完成签到 ,获得积分10
14秒前
SXR发布了新的文献求助10
15秒前
yry关闭了yry文献求助
15秒前
16秒前
小星完成签到,获得积分10
18秒前
追寻涵易发布了新的文献求助10
21秒前
ding应助123采纳,获得10
22秒前
yry驳回了Excalibur应助
25秒前
duan发布了新的文献求助10
25秒前
zjj完成签到,获得积分20
25秒前
26秒前
叶问儿完成签到,获得积分10
26秒前
27秒前
丰知然应助科研通管家采纳,获得10
27秒前
丰知然应助科研通管家采纳,获得10
27秒前
27秒前
Yifan2024应助科研通管家采纳,获得30
27秒前
wanci应助科研通管家采纳,获得10
27秒前
小蘑菇应助科研通管家采纳,获得10
27秒前
Singularity应助科研通管家采纳,获得10
27秒前
搜集达人应助科研通管家采纳,获得10
27秒前
27秒前
27秒前
高分求助中
Production Logging: Theoretical and Interpretive Elements 2500
Востребованный временем 2500
Agaricales of New Zealand 1: Pluteaceae - Entolomataceae 1040
지식생태학: 생태학, 죽은 지식을 깨우다 600
海南省蛇咬伤流行病学特征与预后影响因素分析 500
Neuromuscular and Electrodiagnostic Medicine Board Review 500
ランス多機能化技術による溶鋼脱ガス処理の高効率化の研究 500
热门求助领域 (近24小时)
化学 医学 材料科学 生物 工程类 有机化学 生物化学 纳米技术 内科学 物理 化学工程 计算机科学 复合材料 基因 遗传学 物理化学 催化作用 细胞生物学 免疫学 电极
热门帖子
关注 科研通微信公众号,转发送积分 3461043
求助须知:如何正确求助?哪些是违规求助? 3054837
关于积分的说明 9045084
捐赠科研通 2744737
什么是DOI,文献DOI怎么找? 1505651
科研通“疑难数据库(出版商)”最低求助积分说明 695763
邀请新用户注册赠送积分活动 695173