Comparative Efficacy of Robotic-Assisted Versus Laparoscopic Resection for Colorectal Cancer: A Systematic Review and Meta-Analysis of Randomized Controlled Trials
Abstract
Minimally invasive surgery is the standard of care for colorectal cancer resection. Robotic-assisted surgery (RAS) offers technical advantages over conventional laparoscopic surgery (LACS), including superior visualization and dexterity, but its clinical superiority is debatable due to higher costs and longer operative times. Previous meta-analyses were limited by the inclusion of non-randomized studies. This systematic review and meta-analysis of randomized controlled trials (RCTs) aimed to provide a definitive comparison of the perioperative, functional, and oncological outcomes. A systematic search was conducted from January 2000 to December 2025. Only RCTs comparing RAS and LACS for curative-intent colorectal cancer resection were included. The primary outcomes were conversion to open surgery, operative time, and estimated blood loss. The secondary outcomes included length of hospital stay, complications (specifically Clavien-Dindo grade ≥III), and pathological metrics. The risk of bias (RoB) was assessed using the Cochrane RoB 2 tool. A meta-analysis was performed using a random-effects model. Fifteen RCTs representing thirteen unique RCTs involving 2,965 (1,487 RAS and 1,478 LACS) patients were included. RAS was associated with a significantly lower rate of conversion to open surgery (risk ratio (RR): 0.52; 95% CI: 0.35 to 0.78; p=0.001) and reduced hospital length of stay (weighted mean difference (WMD): -0.73 days; 95% CI: -1.28 to -0.19; p=0.009). Operative time was significantly longer in the RAS group (WMD: +39.26 min; p
Fields of Study & Subjects
Colorectal Cancer Surgical Treatments
Minimally Invasive Surgical Techniques
Surgical Simulation and Training
Publication details
- Journal / source
- Cureus
- Publisher
- Springer Science and Business Media LLC
- Volume
- 18
- Issue
- 1
- Pages
- e102032–e102032
- Publication date
- 21 January 2026
- Language
- EN