Please use this identifier to cite or link to this item: doi:10.22028/D291-33392
Title: Open versus robot-assisted partial nephrectomy: A longitudinal comparison of 880 patients over 10 years
Author(s): Zeuschner, Philip
Greguletz, Leonie
Meyer, Irmengard
Linxweiler, Johannes
Janssen, Martin
Wagenpfeil, Gudrun
Wagenpfeil, Stefan
Siemer, Stefan
Stöckle, Michael
Saar, Matthias
Language: English
Title: The International Journal of Medical Robotics and Computer Assisted Surgery
Volume: 17
Issue: 1
Pages: 1-8
Publisher/Platform: Wiley
Year of Publication: 2020
Free key words: minimally invasive surgery
nephrectomy
renal cell carcinoma
partial robot‐assisted partial nephrectomy
DDC notations: 610 Medicine and health
Publikation type: Journal Article
Abstract: Background Most comparisons between robot‐assisted partial nephrectomy (RAPN) and open partial nephrectomy (OPN) indicate the superiority of RAPN, but the learning curve is often not considered. Methods All consecutive partial nephrectomies from the very first RAPN at a single tertiary referral centre (n = 818, 500 RAPN vs. 313 OPN) were retrospectively analyzed. Complications, success rates and surgical outcomes were compared. Inequalities between cohorts and the inherent learning curve were controlled by subgroup comparisons, regression analyses, and propensity score matching. Results Overall, RAPN had fewer complications, less blood loss, and shorter length of stay. However, an inherent learning curve caused higher complications for the first 4 years. Thereafter, perioperative outcomes clearly favoured RAPN, even for more complex tumours. Conclusions In one of the largest monocentric cohorts over more than 10 years, RAPN was found to be superior to OPN. However, not all advantages of RAPN are immediate because a learning curve must be passed.
DOI of the first publication: 10.1002/rcs.2167
Link to this record: urn:nbn:de:bsz:291--ds-333929
hdl:20.500.11880/30715
http://dx.doi.org/10.22028/D291-33392
ISSN: 1478-596X
1478-5951
Date of registration: 23-Feb-2021
Description of the related object: Supporting Information
Related object: https://onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1002%2Frcs.2167&file=rcs2167-sup-0001-suppl-data.docx
Faculty: M - Medizinische Fakultät
Department: M - Urologie und Kinderurologie
Professorship: M - Prof. Dr. Michael Stöckle
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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