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随机对照研究(randomized controlled trail,RCT)极大促进循证医学在乳腺癌中的应用,使乳腺癌从最初的单一手术治疗,发展为包括化疗、放疗、内分泌治疗和靶向治疗的综合治疗模式。RCT通过严格控制入组和排除标准,减少内部数据的异质性,科学评估实验方案的有效性。但RCT研究花费巨大、实际病人入组率低以及部分低概率事件需大样本评估等,存在一定的局限性。故需在RCT研究的基础上,寻找与其互补的研究方法,推动临床
Randomized controlled trails (RCTs) have greatly facilitated the use of evidence-based medicine in breast cancer and have resulted in the development of a comprehensive approach to the treatment of breast cancer from single initial surgery to chemotherapy, radiotherapy, endocrine and targeted therapies . RCT scientifically evaluates the effectiveness of experimental protocols by strictly controlling inclusion and exclusion criteria, reducing the heterogeneity of internal data. However, there are some limitations in RCT research, such as huge cost, low real patient enrollment rate, and large sample evaluation of some low probability events. Therefore, based on the RCT research, it is necessary to find complementary research methods to promote clinical practice