Article Selection Results
Our literature review selected twenty-four studies from various countries including the United States, Brazil, India, Spain, Greece, Portugal, Saudi Arabia, and France, spanning from 2010 to October 2023. The key details of these articles are summarized in Table 1. The article selection process is shown below in Fig. 1.8
Table 1
Characteristics of included studies
First author, Year | Journal | Country |
Robotic Sleeve Gastrectomy |
Ayloo, 2011 9 | J Laparoendosc Adv Surg Tech A | United States |
Diamantis, 2010 11 | Obes Surg | Greece |
Ecker, 2016 12 | Surg Obes Relat Dis | United States |
Elli, 2014 13 | Obes Surg | United States |
Kannan, 2015 14 | Surg Obes Relat Dis | United States |
Moon, 2016 15 | Obes Surg | United States |
Pepper, 2016 16 | Obes Surg | United States |
Romero, 2013 17 | Obes Surg | United States |
Schraibman, 2014 18 | Obes Surg | Brazil |
Vilallonga, 2013 19 | Obes Surg | Spain |
Endoscopic Sleeve Gastroplasty |
Abu Dayyeh, 2022 20 | Lancet | United States |
Abu Dayyeh, 2017 21 | Clin Gastroenterol Hepatol | United States |
Alexandre, 2023 22 | J Visc Surg | France |
Alqahtani, 2023 23 | Am J Gastroenterol | Saudi Arabia |
Alqahtani, 2019 24 | Clin Endosc | Saudi Arabia |
Barrichello, 2019 25 | Clin Endosc | Brazil, United States |
Correia, 2023 26 | Surg Endosc | Portugal |
Fayad, 2019 27 | Clin Endosc | United States |
Lopez-Nava, 2017 28 | Arq Bras Cir Dig | Spain |
Maselli, 2023 29 | WGJE | Brazil/United States |
Maselli, 2021 30 | Clin Endosc | United States, UAE, Saudi Arabia, Brazil |
Morales, 2018 31 | Surg Endosc | Spain |
Sartoretto, 2018 32 | Obes Surg | Australia/United States |
Figure 1. PRISMA diagram
Table 1. Characteristics of included studies
Patient Demographics
This systematic review synthesized data from 24 studies, encompassing a total of 5259 patients, with 1182 undergoing Robotic Sleeve Gastrectomy (RSG) and 4077 undergoing Endoscopic Sleeve Gastroplasty (ESG). The demographic breakdown indicated 991 females and 4268 males, with ESG and RSG procedures being performed on 565 females and 3512 males, and 426 females and 755 males, respectively. The average age of patients was 37.49 ± 9.64 years for ESG and 42.79 ± 11.38 years for RSG. Furthermore, the average preoperative BMI was 34.74 ± 4.3 for ESG patients and 47.81 ± 8.08 for RSG patients. Detailed patient demographics and intraoperative parameters for each individual study are displayed in Table 2, while aggregated data across all studies are presented in Table 3, offering a comprehensive overview of patient profiles and procedural specifics within this comparative analysis.
Table 2
Intraoperative parameters of each study 9–32
First author, Year | Number of Patients | Female (%) | Mean age | Mean pre-op BMI | Length of stay (days) | Mean operative time (min) | Intraoperativecomplication rate (%) | Conversion rate (%) |
Robotic Sleeve Gastrectomy |
Ayloo, 2011 | 30 | 96.7 | 38 ± 9.1 | 57 | 2.6 ± 1.2 | 135 ± 28 | 0 | 0 |
Bhatia, 2014 | 35 | 42.9 | 41.7 ± 3.43 | 48.17 | 3.36 ± .37 | 116.6 ± 48.8 | 0 | 0 |
Diamantis, 2010 | 19 | 89.5 | 39.4 ± 10.9 | 48.2 | 4 | 95.5 ± 11.5 | 0 | 0 |
Ecker, 2016 | 415 | 74.0 | 43.6 ± 11.2 | 48.7 | 3 | 96.4 ± 24.9 | 1 | .24 |
Elli, 2014 | 105 | 90.5 | 41 ± 10.2 | 49 | 2.44 ± 0.746 | 110.6 ± 48.27 | 0 | 0 |
Kannan, 2015 | 46 | 60.9 | 46 | 48.69 ± 9.59 | 4.2 ± 0.9 | 110 | 0 | 0 |
Moon, 2016 | 268 | 29.1 | 43.4 ± 11.9 | 46.7 ± 7.7 | 1.7 ± 1.8 | N/A | 0 | 0 |
Pepper, 2016 | 14 | 85.7 | 17 | 43 | 2.8125 | 131.5 | 0 | 0 |
Romero, 2013 | 134 | 66.4 | 43 ± 12.6 | 45 | 2.2 ± 0.6 | 106.6 ± 48.8 | 0 | 0 |
Schraibman, 2014 | 16 | 37.5 | 43 ± 16 | 41.3 | 3 | 148 | 0 | 0 |
Vilallonga, 2013 | 100 | 79.0 | 44 ± 11 | 48 | 4 ± 3 | 108 ± 18 | 5 | 0 |
Endoscopic Sleeve Gastroplasty |
Abu Dayyeh, 2022 | 77 | 88.3 | 47.3 ± 9.3 | 35.5 ± 2.6 | N/A | N/A | 0 | 0 |
Abu Dayyeh, 2017 | 25 | 84.0 | 47.6 ± 10 | 35.5 ± 2.6 | N/A | N/A | 0 | 0 |
Alexandre, 2023 | 99 | 74.7 | 45 ± 12.7 | 42.7 ± 7.8 | 1 | 38 ± 2.95 | 0 | 0 |
Alqahtani, 2023 | 656 | 93.9 | 33.6 ± 9 | 28.9 ± 0.8 | N/A | 51 ± 18 | 0 | |
Alqahtani, 2019 | 1000 | 89.7 | 34.4 ± 9.5 | 33.3 ± 4.5 | 0.5 | 82 ± 20 | 0 | 0 |
Barrichello, 2019 | 193 | 76.7 | 42.3 ± 9.6 | 34.11 ± 2.97 | 0.5 | 76 ± 24 | 0 | 0 |
Correia, 2023 | 73 | 83.6 | 49.2 ± 9.7 | 38.60 ± 3.51 | 2 | 83 ± 20 | 0 | 1.4 |
Fayad, 2019 | 54 | 57.4 | N/A | 43.07 ± 0 | .34 ± .73 | N/A | 0 | 0 |
Lopez-Nava, 2017 | 154 | 70.1 | 44.9 ± 9.5 | 38.3 ± 5.5 | 1 | N/A | 0 | 0 |
Maselli, 2023 | 404 | 78.5 | 42.9 | 44.8 ± 4.7 | N/A | 42 ± 9 | 0 | 0 |
Maselli, 2021 | 82 | 92.7 | 42.8 ± 10.4 | 37.2 ± 5.7 | 0.5 | 48.3 ± 20.5 | 0 | 0 |
Morales, 2018 | 148 | 81.8 | 41.52 ± 10 | 35.11 ± 5.5 | 1 | 45 ± 60 | 2 | 0 |
Sartoretto, 2018 | 112 | 68.8 | 45.1 ± 11.7 | 37.9 ± 6.7 | 1 | N/A | 0 | 0 |
Table 3
Patient characteristics across all studies
Perioperative data | ESG | RSG |
Patients | 3077 | 1182 |
Age | 38.52 ± 9.69 | 42.79 ± 11.31 |
Female/Male | 565/3512 | 426/755 |
Pre-op BMI | 35.20 ± 4.29 | 47.81 ± 8.00 |
Major Comorbidities Diabetes Hypertension GERD Sleep Apnea Other | 235 Patients 361 Patients 87 Patients 90 Patients 285 Patients | 304 Patients 462 Patients 11 Patients 405 Patients 390 Patients |
Operation Time (minutes) | 63.10 ± 22.58 | 104.93 ± 32.43 |
Length of Stay (days) | 0.68 | 2.71 ± 1.89 |
Table 2. Intraoperative parameters of each study 9–32
Table 3. Patient characteristics across all studies
The review also focused on major comorbidities, including diabetes, hypertension, Gastroesophageal Reflux Disease (GERD), and sleep apnea, although not all studies provided details on these conditions. In total, among the patients with disclosed comorbidities, 539 had diabetes, 823 had hypertension, 98 had GERD, 495 had sleep apnea, and 675 had other comorbidities. Specifically, for ESG, among 1058 patients with known comorbidities, 22% were diagnosed with diabetes, 34% with hypertension, 8% with GERD, 9% with sleep apnea, and 27% with other conditions. For RSG, among 1572 patients with disclosed comorbidities, 19% had diabetes, 29% had hypertension, 1% had GERD, 26% had sleep apnea, and 25% had other comorbidities.
Clinical Outcomes
In this systematic review, we evaluated five critical factors to discern the differences between ESG and RSG: percent excess weight loss (%EWL) over time, postoperative complication rates, reoperation rates, rates of conversion to open surgery, average hospital length of stay, and mean operative times. The %EWL observed in ESG patients at 1, 3, 6, 12, and 18 months post-procedure were 36.29 ± 31.60, 42.58 ± 35.02, 58.32 ± 39.80, 67.21 ± 44.50, and 65.63 ± 54.81, respectively. Conversely, RSG patients reported %EWL of 16.56 ± 8.67, 25.21 ± 10.73, 43.96 ± 8.04, 65.51 ± 23.50, and 51.26 at corresponding intervals, showing that ESG patients consistently achieved higher %EWL at all monitored stages.
A total of 330 postoperative complications were documented, with 288 occurring in ESG patients and 42 in RSG patients. The ESG cohort had a reoperation rate of 1.35% and a conversion rate to open surgery of 0.025%, while the RSG cohort exhibited a reoperation rate of 0.76% and a conversion rate to open surgery of 0.085%. Furthermore, the average hospital stay was significantly shorter for ESG patients at 0.97 ± 0.73 days, compared to 2.71 ± 1.89 days for RSG patients, emphasizing ESG's minimally invasive approach.
An important operational distinction was found in the mean operative times: ESG procedures averaged 68.4 ± 18.66 minutes, while RSG procedures took longer, with an average of 104.93 ± 33.66 minutes. This indicates that overall, the RSG procedure is more time-consuming, reflecting the complexity and technical demands of robotic surgery compared to the more streamlined ESG process.
The detailed post-operative outcomes for each individual study are compiled in Table 4, while a comprehensive overview of outcomes across all analyzed studies is presented in Table 5. This structured presentation of data provides a transparent comparison of the efficacy, safety, and operational efficiencies of ESG and RSG, contributing to a nuanced understanding of their relative benefits and challenges in managing obesity.
Table 4
Post-operative outcomes of each study 9–32
First Author, Year | Follow-up period (months) | %EWL (3 month) | %EWL (6 month) | %EWL (12 month) | %EWL (24 month) | Reoperation Rate (%) | Postoperative complications (%) |
Robotic Sleeve Gastrectomy |
Ayloo, 2011 | 12 | N/A | N/A | N/A | N/A | 3.33 | 0 |
Bhatia, 2014 | 6 | N/A | 42.8 ± 3.6 | N/A | N/A | 0 | 0 |
Diamantis, 2010 | 1 (n = 19) 3 (n = 19) 6 (n = 16) 12 (n = 16) | 1.3 ± 7.5 | 4.1 ± 13.2 | 65.5 ± 25.6 | N/A | 0 | 0 |
Ecker, 2016 | N/A | N/A | N/A | N/A | N/A | 5.06 | 7.22 |
Elli, 2014 | 3 (n = 71), 6 (n = 69), 9 (n = 44), 12 (n = 38), 18 (n = 23), 24 (n = 23), 36 (n = 15), > 36 (n = 11) | 22.49 | 44.52 | 48.89 | 43.44 | 0 | 0 |
Kannan, 2015 | 3 (n = 43), 6 (n = 30), 12 (n = 26) | 27 ± 11.03 | 39.0 ± 12.0 | 57.0 ± 20.4 | N/A | 15.2 | 2.17 |
Moon, 2016 | 1 | N/A | N/A | N/A | N/A | 1.87 | .75 |
Pepper, 2016 | 1 | N/A | N/A | N/A | N/A | 21.4 | 0 |
Romero, 2013 | 12 | N/A | N/A | 71.5 | N/A | 7.46 | 2.99 |
Schraibman, 2014 | 12 | N/A | N/A | N/A | N/A | 0 | 0 |
Vilallonga, 2013 | 12 | N/A | N/A | 66 | N/A | 1 | 1 |
Endoscopic Sleeve Gastroplasty |
Abu Dayyeh, 2022 | 24 | N/A | N/A | N/A | 41.0% ± 32.0 | 11.7 | 3.90 |
Abu Dayyeh, 2017 | 20 | N/A | N/A | N/A | N/A | 100 | 0 |
Alexandre, 2023 | 12 | N/A | N/A | 42.9 ± 25.6% | N/A | 0 | 0 |
Alqahtani, 2023 | 6 n = 443 12 n = 377 24 n = 197 36 n = 163 | N/A | 67.5 ± 31.9 | 88.0 ± 27.8 | 87.3 ± 24.5 | 25.2 | 2.59 |
Alqahtani, 2019 | 1 n = 814 3 n = 689 6 n = 369 9 n = 291 12 n = 216 18 n = 54 | 49.3 ± 42.5 | 64.3 ± 56.2 | 67.5 ± 52.3 | N/A | 2.70 | 1.60 |
Barrichello, 2019 | 12 | N/A | N/A | 59.41% ± 25.69% | N/A | 2.07 | 1.55 |
Correia, 2023 | 1 n = 73 3 n = 52 | 36.3 ± 11.35%" | N/A | N/A | N/A | 20.5 | 0 |
Fayad, 2019 | 6 | N/A | N/A | N/A | N/A | 5.56 | 0 |
Lopez-Nava, 2017 | 1 (n = 143) 6 (n = 133) 12 (n = 64) 24 (n = 28) | N/A | 47.8 ± 29.4 | 52.6 ± 31.3 | 60.4 ± 31.1 | 0 | 0 |
Maselli, 2023 | 3 n = 312 6 n = 233 12 n = 151 15 n = 112 24 n = 112 36 n = 15 | 29.5 ± 9.6 | 39.2 ± 12.7 | 49.6 ± 15.1 | 49.4 ± 16.7 | .50 | 0 |
Maselli, 2021 | 12 | N/A | N/A | 47.6% ± 26.6% | N/A | 11.0 | 0 |
Morales, 2018 | 12 n = 148 18 n = 72 | N/A | N/A | 75.4 ± 85 | N/A | 1.35 | 0 |
Sartoretto, 2018 | 1(n = 93) 3(n = 82 6(n = 52) | 39.9 ± 17.3 | 50.3 ± 22.4 | N/A | N/A | 2.68 | 0 |
Table 5
%EWL at different intervals.
| Preop BMI | 1 month post op %EWL | 3 months post op %EWL | 6 months post op %EWL | 12 months post op %EWL | 18 months post op %EWL |
ESG mean ± SD | 35.20 ± 4.29 | 36.29 ± 30.94 | 42.58 ± 33.9 | 58.32 ± 38.2 | 67.21 ± 41.58 | 73.01 ± 48.7 |
RSG mean ± SD | 47.81 + 8.00 | 16.56 ± 8.6 | 25.21 ± 10.08 | 42.97 ± 9.67 | 65.51 ± 22.52 | 51.26 |
Table 4. Post-operative outcomes of each study 9–32
Table 5. %EWL at different intervals.
Table 6. P-values for RSG.
Table 6
| Preop BMI | Diabetes (1 or 2) | Hypertension | Sleep Apnea |
P-value | 0.93 | 0.16 | 0.06 | 0.53 |
Statistical Analysis Results
Due to inconsistencies across studies, mainly variable increments of post-op follow up time, we focused on initial %EWL values for our statistical analysis as a success indicator. Using a multiple regression model with %EWL as the dependent variable and pre-operative BMI and comorbidities as independent variables, RSG studies showed no significant correlations between pre-operative BMI and comorbidities affecting %EWL at an alpha level of 0.05, as depicted in Fig. 3. However, at a 0.1 alpha level, a minor correlation between %EWL and hypertension emerged with a p-value of 0.06 (Fig. 2). In contrast, ESG studies revealed a significant correlation between pre-operative BMI and %EWL, with a p-value of 0.03, shown in Fig. 4. No correlation was found when comparing hospital stay, operative time, and complication rate.
Figure 2. %EWL vs hypertension correlation for RSG
Figure 3. %EWL vs pre-operative BMI correlation for RSG
Figure 4. %EWL vs pre-operative BMI correlation for ESG