Article ; Online: Learning curve of robotic-assisted transabdominal preperitoneal repair (rTAPP) for inguinal hernias.
2020 Volume 35, Issue 12, Page(s) 6643–6649
Abstract: Background: Learning curves describe the rate of performance improvements according to the surgeon's caseload, followed by a plateau where limited additional improvements are observed. The aim of this study was to evaluate the learning curve for robotic- ...
| Abstract | Background: Learning curves describe the rate of performance improvements according to the surgeon's caseload, followed by a plateau where limited additional improvements are observed. The aim of this study was to evaluate the learning curve for robotic-assisted transabdominal preperitoneal repair (rTAPP) for inguinal hernias in surgeons already experienced in laparoscopic TAPP. Methods: The study was approved by local ethic committee. Male patients undergoing rTAPP for inguinal hernia from October 2017 to December 2019 at the Bellinzona Regional Hospital were selected from a prospective database. Demographic and clinical data, including operative time, conversion to laparoscopic or open surgery, intra- and postoperative complications were collected and analyzed. Results: Over the study period, 170 rTAPP were performed by three surgeons in 132 patients, and mean age was 60.1 ± 13.7 years. The cumulative summation (CUSUM) test showed a significant operative time reduction after the 43 Conclusion: Our study shows that the rTAPP, performed by experienced laparoscopists, has a learning curve which requires 43 inguinal hernia repairs to achieve 90% proficiency and to significantly reduce the operative time. |
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| MeSH term(s) | Aged ; Hernia, Inguinal/surgery ; Herniorrhaphy ; Humans ; Laparoscopy ; Learning Curve ; Male ; Middle Aged ; Robotic Surgical Procedures ; Surgical Mesh ; Treatment Outcome |
| Language | English |
| Publishing date | 2020-11-30 |
| Publishing country | Germany |
| Document type | Journal Article |
| ZDB-ID | 639039-0 |
| ISSN | 1432-2218 ; 0930-2794 |
| ISSN (online) | 1432-2218 |
| ISSN | 0930-2794 |
| DOI | 10.1007/s00464-020-08165-4 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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