The Role of Robotic Visceral Surgery in Patients with Adhesions: A Systematic Review and Meta-Analysis.
Marco MiloneMichele ManigrassoPietro AnoldoAnna D'AmoreUgo ElmoreMariano Cesare GiglioGianluca RompianesiSara VertaldiRoberto Ivan TroisiNader K FrancisGiovanni Domenico De PalmaPublished in: Journal of personalized medicine (2022)
Abdominal adhesions are a risk factor for conversion to open surgery. An advantage of robotic surgery is the lower rate of unplanned conversions. A systematic review was conducted using the terms "laparoscopic" and "robotic". Inclusion criteria were: comparative studies evaluating patients undergoing laparoscopic and robotic surgery; reporting data on conversion to open surgery for each group due to adhesions and studies including at least five patients in each group. The main outcomes were the conversion rates due to adhesions and surgeons' expertise (novice vs. expert). The meta-analysis included 70 studies from different surgical specialities with 14,329 procedures (6472 robotic and 7857 laparoscopic). The robotic approach was associated with a reduced risk of conversion (OR 1.53, 95% CI 1.12-2.10, p = 0.007). The analysis of the procedures performed by "expert surgeons" showed a statistically significant difference in favour of robotic surgery (OR 1.48, 95% CI 1.03-2.12, p = 0.03). A reduced conversion rate due to adhesions with the robotic approach was observed in patients undergoing colorectal cancer surgery (OR 2.62, 95% CI 1.20-5.72, p = 0.02). The robotic approach could be a valid option in patients with abdominal adhesions, especially in the subgroup of those undergoing colorectal cancer resection performed by expert surgeons.
Keyphrases
- minimally invasive
- robot assisted
- patients undergoing
- systematic review
- case control
- coronary artery bypass
- quality improvement
- ejection fraction
- clinical practice
- end stage renal disease
- clinical trial
- prognostic factors
- metabolic syndrome
- adipose tissue
- machine learning
- randomized controlled trial
- atrial fibrillation
- weight loss
- deep learning
- adverse drug
- study protocol
- percutaneous coronary intervention