Learning curve analysis of robotic transabdominal preperitoneal inguinal hernia repair

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dc.authoridAytac, Erman/0000-0002-8803-0874
dc.authoridDinc, Taha/0000-0002-7759-6135
dc.authoridMutlu, Arda Ulas/0000-0001-7499-7155
dc.authorwosidAytac, Erman/HLW-2224-2023
dc.contributor.authorAghayeva, Afag
dc.contributor.authorAytac, Erman
dc.contributor.authorDinc, Taha
dc.contributor.authorMutlu, Arda Ulas
dc.contributor.authorSahin, Inci
dc.contributor.authorBilgin, Ismail Ahmet
dc.contributor.authorHamzaoglu, Ismail
dc.date.accessioned2024-06-12T10:59:01Z
dc.date.available2024-06-12T10:59:01Z
dc.date.issued2020
dc.departmentTrakya Üniversitesien_US
dc.description.abstractBackground The purpose of this study was to assess the learning curve (LC) for inguinal hernia repair with robotic transabdominal preperitoneal (R-TAPP) approach. Methods Between April 2016 and October 2019, patients who underwent R-TAPP were retrieved. Patient demographics, operative variables and postoperative outcomes were assessed. The moving average method and cumulative sum of operation times (OT) were used to evaluate the LC. The surgeon (BB) in this study had completed his laparoscopic (Lap) TAPP experience. Results There were 50 (two females) consecutive patients (mean age was 51.7 +/- 16.9 years). The first phase (learning phase) included initial 35 operations. The second phase included the next 15 operations. It was observed that, with increasing experience, a statistically significant shortening in the average OT by about 25 min was achieved (p= 0.041). Conclusion The LC phase for R-TAPP, for surgeon with previous experience in Lap TAPP, seems to be very quick without compromising the operative morbidity.en_US
dc.identifier.doi10.1002/rcs.2150
dc.identifier.issn1478-5951
dc.identifier.issn1478-596X
dc.identifier.issue6en_US
dc.identifier.pmid33289228en_US
dc.identifier.scopus2-s2.0-85090312104en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.urihttps://doi.org/10.1002/rcs.2150
dc.identifier.urihttps://hdl.handle.net/20.500.14551/20284
dc.identifier.volume16en_US
dc.identifier.wosWOS:000566783700001en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.language.isoenen_US
dc.publisherWileyen_US
dc.relation.ispartofInternational Journal Of Medical Robotics And Computer Assisted Surgeryen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCUSUMen_US
dc.subjectInguinal Herniaen_US
dc.subjectLeraning Curveen_US
dc.subjectRobotic Herniaen_US
dc.subjectExperienceen_US
dc.subjectOutcomesen_US
dc.titleLearning curve analysis of robotic transabdominal preperitoneal inguinal hernia repairen_US
dc.typeArticleen_US

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