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The institutional learning curve is associated with survival outcomes of robotic radical hysterectomy for early-stage cervical cancer-a retrospective study
DC Field | Value | Language |
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dc.contributor.author | 김상운 | - |
dc.contributor.author | 김성훈 | - |
dc.contributor.author | 김영태 | - |
dc.contributor.author | 남은지 | - |
dc.contributor.author | 어경진 | - |
dc.contributor.author | 이정윤 | - |
dc.date.accessioned | 2020-04-13T17:05:58Z | - |
dc.date.available | 2020-04-13T17:05:58Z | - |
dc.date.issued | 2020 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/175644 | - |
dc.description.abstract | BACKGROUND: Despite recent advances in diagnosis and treatment, cervical cancer continues to be a significant health problem worldwide. Whereas robot-assisted surgery has advantages over the abdominal approach, and minimally invasive techniques are being used increasingly, these may be associated with a higher recurrence rate and lower overall survival than the abdominal approach. The objective of this study was to compare the surgical and survival outcomes between abdominal radical hysterectomy (ARH) and robotic radical hysterectomy (RRH). METHODS: A retrospective cohort of patients undergoing radical hysterectomy for cervical cancer from 2006 to 2018 was identified. Patients with stage IA to IB cervical cancer were included and grouped: ARH vs. RRH. The RRH group was further divided into two groups based on the year of enrollment: RRH1 (2006-2012) and RRH2 (2013-2018). Tumor characteristics, recurrence rate, progression-free survival (PFS), and overall survival (OS) were compared between the groups. P-values < 0.05 (two-sided) were considered statistically significant. RESULTS: A total of 310 patients were identified: 142 and 168 underwent ARH and RRH, respectively. RRH1 and RRH2 had 77 and 91 patients, respectively. Interestingly, RRH2 was more likely to have a larger tumor size (1.7 ± 1.4 vs. 2.0 ± 1.1 vs. 2.4 ± 1.7 cm, P = 0.014) and higher stage (P < 0.001) than RRH1. However, RRH2 showed significantly favorable PFS in contrast to RRH1. There was no difference between ARH and RRH2 in PFS (P = 0.629), whereas overall, the RRH group showed significantly shorter PFS than the ARH group. In the multivariate analysis, the institutional learning curve represented by the operation year was one of the significant predictors for PFS (hazard ratio [HR] 0.065, P = 0.0162), along with tumor size (HR 5.651, P = 0.0241). CONCLUSIONS: The institutional learning curve, represented by the operation year, is one of the most significant factors associated with outcomes of RRH for early-stage cervical cancer. | - |
dc.description.statementOfResponsibility | open | - |
dc.language | English | - |
dc.publisher | BioMed Central | - |
dc.relation.isPartOf | BMC CANCER | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.title | The institutional learning curve is associated with survival outcomes of robotic radical hysterectomy for early-stage cervical cancer-a retrospective study | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Obstetrics and Gynecology (산부인과학교실) | - |
dc.contributor.googleauthor | Kyung Jin Eoh | - |
dc.contributor.googleauthor | Jung-Yun Lee | - |
dc.contributor.googleauthor | Eun Ji Nam | - |
dc.contributor.googleauthor | Sunghoon Kim | - |
dc.contributor.googleauthor | Sang Wun Kim | - |
dc.contributor.googleauthor | Young Tae Kim | - |
dc.identifier.doi | 10.1186/s12885-020-6660-7 | - |
dc.contributor.localId | A00526 | - |
dc.contributor.localId | A00595 | - |
dc.contributor.localId | A00729 | - |
dc.contributor.localId | A01262 | - |
dc.contributor.localId | A04842 | - |
dc.contributor.localId | A04638 | - |
dc.relation.journalcode | J00351 | - |
dc.identifier.eissn | 1471-2407 | - |
dc.identifier.pmid | 32093687 | - |
dc.subject.keyword | Cervical cancer | - |
dc.subject.keyword | Hysterectomy | - |
dc.subject.keyword | Learning curve | - |
dc.contributor.alternativeName | Kim, Sang Wun | - |
dc.contributor.affiliatedAuthor | 김상운 | - |
dc.contributor.affiliatedAuthor | 김성훈 | - |
dc.contributor.affiliatedAuthor | 김영태 | - |
dc.contributor.affiliatedAuthor | 남은지 | - |
dc.contributor.affiliatedAuthor | 어경진 | - |
dc.contributor.affiliatedAuthor | 이정윤 | - |
dc.citation.volume | 20 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 152 | - |
dc.identifier.bibliographicCitation | BMC CANCER, Vol.20(1) : 152, 2020 | - |
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