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Comparing Robotic, Thoracoscopic, and Open Segmentectomy: A National Cancer Database Analysis.
- Source :
-
Journal of Surgical Research . Apr2024, Vol. 296, p674-680. 7p. - Publication Year :
- 2024
-
Abstract
- 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. 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. 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). 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. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00224804
- Volume :
- 296
- Database :
- Academic Search Index
- Journal :
- Journal of Surgical Research
- Publication Type :
- Academic Journal
- Accession number :
- 176066085
- Full Text :
- https://doi.org/10.1016/j.jss.2024.01.028