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      Robotic-assisted vs traditional laparoscopic surgery for endometrial cancer: a randomized controlled trial

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          Abstract

          Previous studies comparing robotic-assisted laparoscopic surgery to traditional laparoscopic or open surgery in gynecologic oncology have been retrospective. To our knowledge, no prospective randomized trials have thus far been performed on endometrial cancer.

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          Most cited references28

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          Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012.

          Estimates of the worldwide incidence and mortality from 27 major cancers and for all cancers combined for 2012 are now available in the GLOBOCAN series of the International Agency for Research on Cancer. We review the sources and methods used in compiling the national cancer incidence and mortality estimates, and briefly describe the key results by cancer site and in 20 large "areas" of the world. Overall, there were 14.1 million new cases and 8.2 million deaths in 2012. The most commonly diagnosed cancers were lung (1.82 million), breast (1.67 million), and colorectal (1.36 million); the most common causes of cancer death were lung cancer (1.6 million deaths), liver cancer (745,000 deaths), and stomach cancer (723,000 deaths). © 2014 UICC.
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            ESMO-ESGO-ESTRO Consensus Conference on Endometrial Cancer: diagnosis, treatment and follow-up.

            The first joint European Society for Medical Oncology (ESMO), European SocieTy for Radiotherapy & Oncology (ESTRO) and European Society of Gynaecological Oncology (ESGO) consensus conference on endometrial cancer was held on 11-13 December 2014 in Milan, Italy, and comprised a multidisciplinary panel of 40 leading experts in the management of endometrial cancer. Before the conference, the expert panel prepared three clinically relevant questions about endometrial cancer relating to the following four areas: prevention and screening, surgery, adjuvant treatment and advanced and recurrent disease. All relevant scientific literature, as identified by the experts, was reviewed in advance. During the consensus conference, the panel developed recommendations for each specific question and a consensus was reached. Results of this consensus conference, together with a summary of evidence supporting each recommendation, are detailed in this article. All participants have approved this final article.
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              A comparative study of 3 surgical methods for hysterectomy with staging for endometrial cancer: robotic assistance, laparoscopy, laparotomy.

              The purpose of this study was to compare outcomes in women who underwent endometrial cancer staging by different surgical techniques. Three hundred twenty-two women underwent endometrial cancer staging: 138 by laparotomy (TAH); 81 by laparoscopy (TLH) and 103 by robotic technique (TRH). The TRH cohort had a higher body mass index than the TLH cohort (P = .0008). Lymph node yield was highest for TRH (P < .0001); hospital stay (P < .0001) and estimated blood loss (P < .0001) were lowest for this cohort. Operative time was longest for TLH (213.4 minutes) followed by TRH (191.2 minutes) and TAH (146.5 minutes; P < .0001. Postoperative complication rates were lower for TRH, compared with TAH (5.9% vs 29.7%; P < .0001). Conversion rates for the robotic and laparoscopic groups were similar. TRH with staging is feasible and preferable over TAH and may be preferable over TLH in women with endometrial cancer. Further study is necessary to determine long-term oncologic outcomes.
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                Author and article information

                Journal
                American Journal of Obstetrics and Gynecology
                American Journal of Obstetrics and Gynecology
                Elsevier BV
                00029378
                November 2016
                November 2016
                : 215
                : 5
                : 588.e1-588.e7
                Article
                10.1016/j.ajog.2016.06.005
                27288987
                1a20d54e-94ed-4906-ab84-8d90b55f5a7b
                © 2016

                https://www.elsevier.com/tdm/userlicense/1.0/

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