Background: Rectal cancer surgery is technically demanding, especially in males. Robotic assistance may help overcome these challenges. This study aimed to identify factors associated with robotic-assisted proctectomy in rectal cancer.
Methods: Retrospective case-control analysis of patients with clinical stage I-III rectal adenocarcinoma who underwent proctectomy from the National Cancer Database (2010-2019) was conducted. Univariable and multivariable binary logistic regression analyses were conducted to determine predictive factors of robotic-assisted proctectomy in rectal cancer.
Results: 67 145 patients (60.9% male; mean age: 61.15 ± 12.49 years) were included. 44.7% had stage III disease and 66.2% received neoadjuvant radiation. The surgical approach was laparotomy (n = 29 725), laparoscopy (n = 21 657), and robotic-assisted proctectomy (n = 15 763). Independent predictors for the use of robotic-assisted proctectomy were age <50 years (OR: 1.06; = .032), male sex (OR: 1.07, < .001), Asian race (OR: 1.25; < .001), private insurance (OR: 1.25; < .001), rectal cancer treatment between 2015 and 2019 (OR: 3.52; < .001), stage III disease (OR: 1.06; = .048), neoadjuvant radiation (OR: 1.26; < .001), and pull-through coloanal anastomosis (OR: 1.15; < .001). Robotic-assisted surgery was less often used in Black (OR: .857, < .001) and American Indian patients (OR: .62, = .002) and those with a Charlson score = 3 (OR: .818, = .002), living in rural areas (OR: .865, = .033), who were uninsured (OR: .611, < .001), and undergoing pelvic exenteration (OR: .461, < .001).
Conclusions: Demographic and insurance disparities of robotic-assisted proctectomy are Black and American Indian patients and those with higher Charlson comorbidity index scores and uninsured patients were less likely to undergo robotic-assisted proctectomy. While patients with advanced disease and/or received neoadjuvant radiation were more likely to undergo robotic-assisted proctectomy, robotic-assisted surgery was less often performed in pelvic exenteration.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1177/00031348241304013 | DOI Listing |
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!