ArticleAnnals of surgical oncology2021
Three Different Learning Curves Have an Independent Impact on Perioperative Outcomes After Robotic Partial Nephrectomy: A Comparative Analysis.
Article in Annals of surgical oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Learning curve of robot-assisted laparoscopic partial nephrectomy surgery via the transperitoneal approach: a CUSUM analysis.Journal of robotic surgery · 2025Article
- Predicting hemorrhagic complications in robotic-assisted partial nephrectomy for renal tumors: simplifying risk assessment with tumor diameter and depth.Journal of robotic surgery · 2025Article
- The IDEAL framework for surgical robotics: development, comparative evaluation and long-term monitoring.Nature medicine · 2024Review
- Cumulative sum analysis (CUSUM) for evaluating learning curve (LC) of robotic-assisted laparoscopic partial nephrectomy (RALPN).Journal of robotic surgery · 2023Article
- Outcomes of Localized Renal Cell Carcinoma Across Different Races.Clinical medicine & research · 2023Article
- Impact of Surgical Experience Before Robot-assisted Partial Nephrectomy on Surgical Outcomes: A Multicenter Analysis of 2500 Patients.European urology open science · 2022Article
- Factors influencing warm ischemia time in robot-assisted partial nephrectomy change depending on the surgeon's experience.World journal of surgical oncology · 2022Article
- Perioperative outcomes following robot-assisted partial nephrectomy for renal cell carcinoma according to surgeon generation.BMC surgery · 2022Article
- [Robot-assisted surgery as an elective-fascinating lesson(s)?]Der Urologe. Ausg. A · 2022Article
- ASO Author Reflection: Learning Curves in Robotic Partial Nephrectomy-Not Only the Surgeon Counts.Annals of surgical oncology · 2020Article
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8 authors.
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Abstract
backgroundRobot-assisted partial nephrectomy (RAPN) has become widely accepted, but its different underlying types of learning curves have not been comparatively analyzed to date. This study aimed to determine and compare the impact that the learning curve of the department, the console surgeon, and the bedside assistant as well as patient-related factors has on the perioperative outcomes of RAPN.
methodsThe study retrospectively analyzed 500 consecutive transperitoneal RAPNs (2007-2018) performed in a tertiary referral center by 7 surgeons and 37 bedside assistants. Patient characteristics and surgical data were obtained. Experience (EXP) was defined as the current number of RAPNs performed by the department, the surgeon, and the assistant. As the primary outcome, the impact of EXP and patient-related factors on perioperative outcomes were analyzed and compared. As the secondary outcome, a cutoff between "experienced" and "inexperienced" was defined. Correlation and regression analysis, receiver operating characteristic curve analysis, Fisher's exact test, and the Mann-Whitney U test were performed, with p values lower than 0.05 denoting significance.
resultsThe EXP of the department, the surgeon, and the assistant each has a major influence on perioperative outcome in RAPN irrespective of patient-related factors. Perioperative outcomes improve significantly with EXP greater than 100 for the department, EXP greater than 35 for the surgeon, and EXP greater than 15 for the assistant.
conclusionsThe perioperative results of RAPN are influenced by three different types of learning curves including those for the surgical department, the console surgeon, and the assistant. The influence of the bedside assistant clearly has been underestimated to date because it has a significant impact on the perioperative outcomes of RAPN.
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