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作 者:李佳圆 LI Jiayuan(West China School of Public Health&West China Fourth Hospital,Sichuan University,Chengdu 610041,P.R.China)
机构地区:[1]四川大学华西公共卫生学院/华西第四医院,成都610041
出 处:《中国循证医学杂志》2020年第7期745-748,共4页Chinese Journal of Evidence-based Medicine
摘 要:乳腺癌是我国女性中发病率第一位的恶性肿瘤。开展病因研究和乳腺癌风险预测模型研究用于指导一级和二级预防,这一公共卫生策略将使人群健康收益最大化。本文介绍目前我国乳腺癌危险因素及风险预测模型研究现状,总结针对未来研究的3个关键切入点:首先,挖掘与我国人群乳腺癌风险相关的可干预危险因素,例如超重和生育控制措施;其次,运用循证医学和机器学习方法筛选环境-基因危险因素;最后,建立人群乳腺癌危险因素监测平台,利用真实世界的大样本人群长期随访队列验证预测模型有效性。Breast cancer is the most common malignant tumor among Chinese females. We should focus on the research of risk assessment models of gene-environmental factors to guide primary and secondary prevention, and this public health strategy is expected to maximize the health benefits of the population. This paper introduces previous studies of risk factors and predictive models for Chinese breast cancer and provides three points for future research. Firstly, we should explore the specific risk factors related to breast cancer risk in Chinese population, such as overweight or reproductive control measures. Secondly, we should use evidence-based and machine learning methods to select environmental-genetic risk factors. Finally, we should set up an information collective platform for breast cancer risk factors to test the validity of prediction models based on a long-term follow-up cohort of Chinese females.
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