Systematic Review and Meta-Analysis of Laparoscopic versus Robotic-Assisted Surgery for Colon Cancer: Efficacy, Safety, and Outcomes-A Focus on Studies from 2020-2024

腹腔镜手术与机器人辅助手术治疗结肠癌的系统评价和荟萃分析:疗效、安全性和结果——重点关注2020-2024年的研究

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Abstract

BACKGROUND: Minimally invasive surgery in the treatment of colon cancer has significantly advanced over the years. This systematic review and meta-analysis aimed to compare the operative outcomes of robotic and laparoscopic surgery in the treatment of colon cancer, focusing on operative time, hospital stay, conversion rates, anastomotic leak rates, and total number lymph node harvested. METHODS: Following PRISMA guidelines, we conducted a systematic search across four databases up to January 2024, registering our protocol with PROSPERO (CRD42024513326). We included studies comparing robotic and laparoscopic surgeries for colon cancer, assessing operative time, hospital length of stay, and other perioperative outcomes. Risk of bias was evaluated using the JBI Critical Appraisal Checklist. Statistical analysis utilized a mix of fixed and random-effects models based on heterogeneity. RESULTS: A total of 21 studies met the inclusion criteria, encompassing 50,771 patients, with 21.75% undergoing robotic surgery and 78.25% laparoscopic surgery. Robotic surgery was associated with longer operative times (SMD = -1.27, p < 0.00001) but shorter hospital stays (MD = 0.42, p = 0.003) compared to laparoscopic surgery. Conversion rates were significantly higher in laparoscopic procedures (OR = 2.02, p < 0.00001). No significant differences were found in anastomotic leak rates. A higher number of lymph nodes was harvested by robotic approach (MD = -0.65, p = 0.04). Publication bias was addressed through funnel plot analysis and Egger's test, indicating the presence of asymmetry (p = 0.006). CONCLUSIONS: The choice of surgical method should be individualized, considering factors such as surgeon expertise, medical facilities, and patient-specific considerations. Future research should aim to elucidate long-term outcomes to further guide the clinical decision-making.

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