Suppr超能文献

早期乳腺癌全身治疗的观念转变:德国专家对第17届圣加仑国际共识会议的看法

Practice-Changing Perspectives regarding Systemic Therapy in Early Breast Cancer: Opinions of German Experts regarding the 17th St. Gallen International Consensus Conference.

作者信息

Kolberg-Liedtke Cornelia, Lüftner Diana, Brucker Sara Y, Budach Wilfried, Denkert Carsten, Fasching Peter A, Haidinger Renate, Harbeck Nadia, Huober Jens, Jackisch Christian, Janni Wolfgang, Krug David, Kühn Thorsten, Loibl Sibylle, Müller Volkmar, Schneeweiss Andreas, Thomssen Christoph, Untch Michael, Thill Marc

机构信息

Clinic for Gynecology and Obstetrics, University Hospital of Essen, Essen, Germany.

Palleos Healthcare GmbH, Wiesbaden, Germany.

出版信息

Breast Care (Basel). 2022 Jun;17(3):336-345. doi: 10.1159/000517501. Epub 2022 Apr 8.

Abstract

The general topic of this year's 17th St. Gallen (SG) International Consensus Conference on the treatment of patients with early breast cancer (SG-BCC) was "Customizing local and systemic therapies for women with early breast cancer." This topic considers that each treatment decision must also consider the cancer-specific situation of the individual patient. This year, the votes of the SG-BCC were again discussed taking into account the multidisciplinary German S3 Guidelines and the recommendations of the Breast Cancer Working Group of the AGO (Arbeitsgemeinschaft Gynäkologische Onkologie; AGO Mamma). As the international panel of the SG-BCC consists of experts from different countries, the votes do represent an international cross-section of opinions. Therefore, it is useful to discuss the voting results with respect to the German evidence-based treatment guidelines. This publication focuses mainly on systemic treatment.

摘要

今年第17届圣加仑(SG)早期乳腺癌患者治疗国际共识会议(SG-BCC)的总体主题是“为早期乳腺癌女性定制局部和全身治疗方案”。该主题认为,每一项治疗决策都必须考虑个体患者的癌症具体情况。今年,在考虑多学科德国S3指南以及AGO(妇科肿瘤工作组;AGO乳腺组)乳腺癌工作组建议的基础上,再次对SG-BCC的投票结果进行了讨论。由于SG-BCC的国际专家小组由来自不同国家的专家组成,这些投票确实代表了国际范围内的各种观点。因此,结合德国循证治疗指南来讨论投票结果是很有意义的。本出版物主要关注全身治疗。

相似文献

本文引用的文献

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验