ArticleArchives of gynecology and obstetrics2022
Learning curve analysis of multiport robot-assisted hysterectomy.
Article in Archives of gynecology and obstetrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.
- Robot-assisted laparoscopy does not have demonstrable advantages over conventional laparoscopy in endometriosis surgery: a systematic review and meta-analysis.Surgical endoscopy · 2024Pooled it
- Medicolegal aspects of robotic-assisted surgery: litigation trends, complication risks, and human factors interventions.Journal of robotic surgery · 2026Review
- Learning curve and surgical time predictors in robot-assisted transvaginal natural orifice transluminal endoscopic surgery: a risk-adjusted cumulative sum analysis.Journal of robotic surgery · 2026Article
- Evaluation of robotic exposure among gynecological surgeons: results of survey from the young European advocates of robotic surgery (YEARS).Journal of robotic surgery · 2026Article
- Learning curves, safety, and experiences of a tertiary surgical center in the introduction of robotic-assisted surgery in gynecologic oncology.Archives of gynecology and obstetrics · 2026Article
- From practice to perfection-complications and operative time learning curves in benign robotic-assisted laparoscopic hysterectomy.Journal of robotic surgery · 2025Article
- Global trends and hotspots in the learning curves of robotic-assisted surgery: a bibliometric and visualization analysis.Journal of robotic surgery · 2025Review
- Comparison between learning curves of robot-assisted and laparoscopic surgery in gynaecology: a systematic review.Facts, views & vision in ObGyn · 2024Article
- CUSUM learning curves: what they can and can't tell us.Surgical endoscopy · 2023Article
- Learning laparoscopic hysterectomy: analysis of different surgeons' individual learning curves.Archives of gynecology and obstetrics · 2023Article
Corrections and comments
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Authors and funding
5 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe purpose of this study was to evaluate the surgical outcomes and learning curve of multiport robot-assisted hysterectomy.
methodsEighty-eight patients were identified who underwent multiport robot-assisted surgery for hysterectomy. A retrospective analysis was performed. The cumulative summation technique (CUSUM) was used to investigate the learning curve in surgical proficiency by analyzing total operative, docking, and console times.
resultsThe patients' median age was 51 years. In addition, the median operative time was 120.5 min (range 56-344 min). The most common indication for surgery was myoma (33.0%). The median estimated blood loss was 30 mL (range 5-200 mL). There was no conversion to laparoscopic or open surgery. No transfusion was required, and only one complication including umbilical incisional hernia was reported. A tendency of decline in total operative time following the first 23 cases was found. The CUSUM graph for total operative time indicated the generation of three distinct performance phases: learning (n = 23), competence (n = 36), and mastery (n = 29). The median docking time was 3 min (range 1-10 min) and median console time was 70 min (range 24-298 min).
conclusionThe multiport robot-assisted surgery is an easy and safe procedure with minimal postoperative complications and can be quickly learned. The learning curve was 23 cases to significantly decrease the operative time.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.