메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색

초록· 키워드

오류제보하기
Objective: To assess the impact of lymph node dissection (LND) on morbidity, survival, and cost for intermediate-risk endometrial cancers (IREC). Methods: A multicenter retrospective cohort of 720 women with IREC (endometrioid histology with myometrial invasion <50% and grade 3; or myometrial invasion ≥50% and grades 1–2; or cervical involvement and grades 1–2) was carried out. All patients underwent hysterectomy and bilateral salpingo-oophorectomy. A matched pair analysis identified 178 pairs (178 with LND and 178 without it) equal in age, body mass index, co-morbidities, American Society of Anesthesiologist score, myometrial invasion, and surgical approach. Demographic data, pathology results, perioperative morbidity, and survival were abstracted from medical records. Disease-free survival (DFS) and overall survival (OS) was analyzed using Kaplan-Meier curves and multivariate Cox regression analysis. Cost analysis was carried out between both groups. Results: Both study groups were homogeneous in demographic data and pathologic results. The mean follow-up in patients free of disease was 61.7 months (range, 12.0–275.5). DFS (hazard ratio [HR]=1.34; 95% confidence interval [CI]=0.79–2.28) and OS (HR=0.72; 95% CI=0.42–1.23) were similar in both groups, independently of nodes count. In LND group, positive nodes were found in 10 cases (5.6%). Operating time and late postoperative complications were higher in LND group (p<0.05). Infection rate was significantly higher in no-LND group (p=0.035). There were no statistical differences between both groups regarding operative morbidity and hospital stay. The global cost was similar for both groups. Conclusion: Systematic LND in IREC has no benefit on survival, although it does not show an increase in perioperative morbidity or global cost.

목차

등록된 정보가 없습니다.

참고문헌 (28)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0