Literature DB >> 27045710

Robotic-assisted Laparoscopic Radical Prostatectomy From a Single Chinese Center: A Learning Curve Analysis.

Yifan Chang1, Min Qu1, Linhui Wang1, Bo Yang1, Rui Chen1, Feng Zhu1, Haifeng Wang1, Yan Wang1, Xin Lu1, Chunfei Ma1, Zhenkai Shi1, Zhenyang Dong1, Huan Chen1, Chuanliang Xu1, Yinghao Sun2, Xu Gao3.   

Abstract

OBJECTIVE: To investigate the learning curve of robotic-assisted laparoscopic radical prostatectomy (RALP) and analyze whether a surgeon's prior surgical experience has effects on the surgery. PATIENTS AND METHODS: From April 2012 to August 2015, 3 surgeons performed RALP on 355 consecutive patients with prostate cancer. Among these cases, 184 were by surgeon A with prior open experiences, 92 by surgeon B with both open and laparoscopic experiences, and 79 by surgeon C with laparoscopic experiences only. Perioperative, oncological, and functional outcomes were evaluated and compared between surgeons. Learning curve patterns were evaluated to determine the number of cases to reach plateau.
RESULTS: Marked difference was observed in operative time among the 3 groups (all P <.05). Length of hospital stay was also statistically significant (all P <.001), except for that between Group B and Group C (P = .739). Continence at 1-year and 6-month postoperatively was better in Groups B and C compared with Group A (P <.001). Intraoperative blood loss, pathologic stage, positive surgical margin, biochemical recurrence-free rate, and other pathological findings showed no statistical significance between the groups. The number of cases required to reach plateau may vary for surgeons with different surgical experiences.
CONCLUSION: Different early surgical background may affect the perioperative parameters of novice RALP surgeons. Previous laparoscopic experiences may provide additional advantage in learning curve parameters compared with surgeons with open experiences only. A better overall continence for laparoscopic surgeons requires further validation.
Copyright © 2016 Elsevier Inc. All rights reserved.

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Year:  2016        PMID: 27045710     DOI: 10.1016/j.urology.2016.03.036

Source DB:  PubMed          Journal:  Urology        ISSN: 0090-4295            Impact factor:   2.649


  6 in total

Review 1.  Learning curves in laparoscopic and robot-assisted prostate surgery: a systematic search and review.

Authors:  Nikolaos Grivas; Ioannis Zachos; Georgios Georgiadis; Markos Karavitakis; Vasilis Tzortzis; Charalampos Mamoulakis
Journal:  World J Urol       Date:  2021-09-04       Impact factor: 3.661

2.  Describing the learning curve for bulbar urethroplasty.

Authors:  Marco Spilotros; Sachin Malde; Tamsin J Greenwell
Journal:  Transl Androl Urol       Date:  2017-12

3.  Experience of one single surgeon with the first 500 robot-assisted laparoscopic prostatectomy cases in mainland China.

Authors:  Huan Chen; Bijun Lian; Zhenyang Dong; Yan Wang; Min Qu; Feng Zhu; Yinghao Sun; Xu Gao
Journal:  Asian J Urol       Date:  2019-12-23

Review 4.  Systematic review of learning curves in robot-assisted surgery.

Authors:  N A Soomro; D A Hashimoto; A J Porteous; C J A Ridley; W J Marsh; R Ditto; S Roy
Journal:  BJS Open       Date:  2019-11-29

Review 5.  Consensus statements on the management of clinically localized prostate cancer from the Hong Kong Urological Association and the Hong Kong Society of Uro-Oncology.

Authors:  Wai-Kit Ma; Darren Ming-Chun Poon; Chi-Kwok Chan; Tim-Wai Chan; Foon-Yiu Cheung; Lap-Yin Ho; Eric Ka-Chai Lee; Angus Kwong-Chuen Leung; Simon Yiu-Lam Leung; Hing-Shing So; Po-Chor Tam; Philip Wai-Kay Kwong
Journal:  BJU Int       Date:  2019-02-05       Impact factor: 5.588

6.  Short-term therapeutic outcomes of robotic-assisted laparoscopic radical prostatectomy for oligometastatic prostate cancer: a propensity score matching study.

Authors:  Huan Chen; Min Qu; Bi-Jun Lian; Hai-Feng Wang; Yan Wang; Zhen-Yang Dong; Feng Zhu; Zhen-Kai Shi; Ze-Peng Jia; Ying-Hao Sun; Xu Gao
Journal:  Chin Med J (Engl)       Date:  2020-01-20       Impact factor: 2.628

  6 in total

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