The Emerging Role of Robotic Single-site Approach for Myomectomy: A Systematic Review of the Literature.
Eirini GiovannopoulouAnastasia ProdromidouNikolaos BlontzosChristos IavazzoPublished in: Surgical innovation (2021)
Objective. To review the existing studies on single-site robotic myomectomy and test the safety and feasibility of this innovative minimally invasive technique. Data Sources. PubMed, Scopus, Google Scholar (from their inception to October 2019), as well as Clinicaltrials.gov databases up to April 2020. Methods of Study Selection. Clinical trials (prospective or retrospective) that reported the outcomes of single-site robotic myomectomy, with a sample of at least 20 patients were considered eligible for the review. Results. The present review was performed in accordance with the guidelines for Systematic Reviews and Meta-Analyses (PRISMA). Four (4) studies met the inclusion criteria, and a total of 267 patients were included with a mean age from 37.1 to 39.1 years and BMI from 21.6 to 29.4 kg/m2. The mean operative time ranged from 131.4 to 154.2 min, the mean docking time from 5.1 to 5.45 min, and the mean blood loss from 57.9 to 182.62 ml. No intraoperative complications were observed, and a conversion rate of 3.8% was reported by a sole study. The overall postoperative complication rate was estimated at 2.2%, and the mean hospital stay ranged from 0.57 to 4.7 days. No significant differences were detected when single-site robotic myomectomy was compared to the multiport technique concerning operative time, blood loss, and total complication rate. Conclusion. Our findings support the safety of single-site robotic myomectomy and its equivalency with the multiport technique on the most studied outcomes. Further studies are needed to conclude on the optimal minimally invasive technique for myomectomy.
Keyphrases
- minimally invasive
- end stage renal disease
- robot assisted
- clinical trial
- meta analyses
- newly diagnosed
- ejection fraction
- systematic review
- chronic kidney disease
- peritoneal dialysis
- type diabetes
- emergency department
- body mass index
- cross sectional
- machine learning
- molecular dynamics simulations
- artificial intelligence
- electronic health record
- tyrosine kinase
- protein protein
- drug induced