Please use this identifier to cite or link to this item: doi:10.22028/D291-34625
Title: Robot-assisted versus open radical cystectomy: A cohort study on perioperative outcomes accounting for stage selection bias and surgical experience
Author(s): Zeuschner, Philip
Linxweiler, Johannes
Mohr, Rebecca
van Heemskerk, Sara
Wagenpfeil, Gudrun
Wagenpfeil, Stefan
Ohlmann, Carsten
Siemer, Stefan
Stöckle, Michael
Saar, Matthias
Language: English
Title: The International Journal of Medical Robotics and Computer Assisted Surgery
Volume: 17
Issue: 4
Publisher/Platform: Wiley
Year of Publication: 2021
Free key words: bladder cancer
cystectomy
robot‐assisted surgery
urologic neoplasms
urologic surgical procedures
DDC notations: 610 Medicine and health
Publikation type: Journal Article
Abstract: Background Most comparisons of robot-assisted (RARC) versus open radical cystectomy (ORC) for urothelial carcinoma do not factor the inherent stage selection bias or surgical experience. Methods We compared the perioperative outcomes of 229 RARC and 335 ORC at a single tertiary referral centre with propensity score matching and multiple regression models, when controlling for tumour and patient characteristics, surgeon's experience and type of urinary diversion. Results RARC had less major complications (19.8% vs. 34.1%) and ICU admissions (6.6% vs. 19.8%), with lower blood loss (400 vs. 500 ml) and transfusion rates. The operating time was longer (336 vs. 286 min), but decreased with surgeon's experience. RARC had less positive surgical margins (3% vs. 8.4%) and a higher lymph node count (14 vs. 11). Conclusions In this large single centre series comparing RARC with ORC controlling for stage selection bias and surgical experience, RARC proved significantly better outcomes, especially with intracorporeal urinary diversion.
DOI of the first publication: 10.1002/rcs.2258
Link to this record: urn:nbn:de:bsz:291--ds-346253
hdl:20.500.11880/31704
http://dx.doi.org/10.22028/D291-34625
ISSN: 1478-596X
1478-5951
Date of registration: 3-Sep-2021
Description of the related object: Supporting Information
Related object: https://onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1002%2Frcs.2258&file=rcs2258-sup-0001-suppl-data.docx
Faculty: M - Medizinische Fakultät
Department: M - Medizinische Biometrie, Epidemiologie und medizinische Informatik
M - Urologie und Kinderurologie
Professorship: M - Prof. Dr. Michael Stöckle
M - Prof. Dr. Stefan Wagenpfeil
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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