Comparing the Efficacy of Robotic Versus Laparoscopic Sleeve Gastrectomy: A Systematic Review and Meta-Analysis
- 23 July 2024
- journal article
- review article
- Published by Springer Nature in Obesity Surgery
- Vol. 34 (9) , 3493-3505
Abstract
Background Laparoscopic sleeve gastrectomy (LSG) has emerged as the predominant metabolic bariatric surgery. With a growing number of studies evaluating the feasibility of robotic sleeve gastrectomy (RSG), it becomes imperative to ascertain whether the outcomes of both techniques are comparable. This study endeavors to synthesize existing evidence and juxtapose the surgical outcomes of LSG and RSG. Methods We collected articles comparing LSG and RSG published between 2011 and 2024. The compiled data included author names, study duration, sample size, average age, gender distribution, geographical location, preoperative body mass index (BMI), bougie diameter, duration of hospitalization, surgical duration, readmission rates, conversion rates, costs, postoperative percentage of excess weight loss (%EWL), postoperative BMI, mortality rates, and complications. Results We incorporated 21 articles. Both the RSG and LSG cohorts exhibited comparable rates of readmission, conversion, mortality, and incidence of complications (p > 0.05). Moreover, the efficacy of weight loss was similar between RSG and LSG. Nonetheless, RSG was linked to longer operative duration (WMD, -27.50 minutes; 95% confidence interval [CI], -28.82 to -26.18; p < 0.0001), prolonged hospitalization (WMD, -0.15 days; 95% CI, −0.25 to -0.04; p = 0.006), and elevated expenses (WMD, -5830.9 dollars; 95% CI, -8075.98 to -3585.81; p < 0.0001). Conclusions While both RSG and LSG demonstrated positive postoperative clinical outcomes, RSG patients experienced extended hospital stays, longer operative times, and increased hospitalization costs compared to LSG patients. Using the robotic platform for sleeve gastrectomy (SG) in patients with obesity did not appear to offer any clear benefits. Graphical AbstractKeywords
Funding Information
- National Natural Science Foundation of China (NO.82373014)
- Postgraduate Research & Practice Innovation Program of Jiangsu Province (SJCX24_2342)
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