SynthesisObesity surgery2026
Robotic-Assisted Single Anastomosis Duodeno-Ileal Bypass with Sleeve Gastrectomy - A Systematic Review.
Synthesis in Obesity surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe anticipated surgical and postoperative outcomes following robotic-assisted single anastomosis duodeno-ileal bypass with sleeve gastrectomy (R-SADI-S) are not well described in the surgical literature.
aimsTo perform a systematic review to evaluate clinical and surgical outcomes in patients who have undergone R-SADI-S.
methodsA systematic review was performed in accordance with the PRISMA guidelines. Basic descriptive statistics were performed using SPSS v26.0.
resultsOverall, 4 studies including data from 160 patients were included. The mean age at the time of surgery was 38.1 years and 55.6% of patients were female (89/160). The mean reported preoperative weight was 122.2 kg and mean body mass index was 45.1 kg/m2. The mean time taken for R-SADI-S was 181 min and 7.5% of patients experienced postoperative complications (12/160), however, just 1.4% of patients required either reintervention and readmission (2/144) respectively. At 24-months follow-up, patients who had undergone-R-SADI-S experienced an average weight loss of 60.7 kg, a BMI change of -18.0 kg/m2, a total body weight loss of 44.6% and excess weight loss of 113.7%.
conclusionR-SADI-S is a seemingly safe procedure which provides excellent weight loss results when performed for patients living with severe obesity. Given R-SADI-S is a novel technique, these results require further ratification once the learning curve is navigated in prospective analyses to ensure the optimisation of patient outcomes.
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